CN114680823A - Monitoring equipment, medical central station system and monitoring data reviewing method - Google Patents
Monitoring equipment, medical central station system and monitoring data reviewing method Download PDFInfo
- Publication number
- CN114680823A CN114680823A CN202111214058.2A CN202111214058A CN114680823A CN 114680823 A CN114680823 A CN 114680823A CN 202111214058 A CN202111214058 A CN 202111214058A CN 114680823 A CN114680823 A CN 114680823A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- parameter
- preset
- trend
- displaying
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 733
- 238000000034 method Methods 0.000 title claims abstract description 125
- 238000011156 evaluation Methods 0.000 claims abstract description 256
- 238000012806 monitoring device Methods 0.000 claims abstract description 124
- 238000012552 review Methods 0.000 claims description 58
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 43
- 229910052760 oxygen Inorganic materials 0.000 claims description 43
- 239000001301 oxygen Substances 0.000 claims description 43
- 230000004044 response Effects 0.000 claims description 32
- 230000002490 cerebral effect Effects 0.000 claims description 26
- 230000003727 cerebral blood flow Effects 0.000 claims description 23
- 230000015654 memory Effects 0.000 claims description 23
- 238000004891 communication Methods 0.000 claims description 18
- 230000009257 reactivity Effects 0.000 claims description 7
- 230000000694 effects Effects 0.000 claims description 6
- 238000013507 mapping Methods 0.000 claims description 3
- 230000035790 physiological processes and functions Effects 0.000 claims description 2
- 239000008280 blood Substances 0.000 description 34
- 210000004369 blood Anatomy 0.000 description 34
- 210000004556 brain Anatomy 0.000 description 28
- 230000008859 change Effects 0.000 description 24
- 230000033228 biological regulation Effects 0.000 description 19
- 230000002159 abnormal effect Effects 0.000 description 14
- 230000004224 protection Effects 0.000 description 13
- 230000002829 reductive effect Effects 0.000 description 13
- 238000010586 diagram Methods 0.000 description 12
- 230000006870 function Effects 0.000 description 10
- 210000004204 blood vessel Anatomy 0.000 description 9
- 201000010099 disease Diseases 0.000 description 8
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 8
- 210000004072 lung Anatomy 0.000 description 8
- 230000036772 blood pressure Effects 0.000 description 7
- 210000001061 forehead Anatomy 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 230000000007 visual effect Effects 0.000 description 6
- 238000007726 management method Methods 0.000 description 5
- 238000003384 imaging method Methods 0.000 description 4
- 230000002792 vascular Effects 0.000 description 4
- 238000013500 data storage Methods 0.000 description 3
- 230000007423 decrease Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000010295 mobile communication Methods 0.000 description 3
- 210000000056 organ Anatomy 0.000 description 3
- 230000029058 respiratory gaseous exchange Effects 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 2
- 230000017531 blood circulation Effects 0.000 description 2
- 230000008344 brain blood flow Effects 0.000 description 2
- 230000005961 cardioprotection Effects 0.000 description 2
- 230000006835 compression Effects 0.000 description 2
- 238000007906 compression Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 230000001934 delay Effects 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 210000003128 head Anatomy 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000007917 intracranial administration Methods 0.000 description 2
- 210000000653 nervous system Anatomy 0.000 description 2
- 238000007639 printing Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000002685 pulmonary effect Effects 0.000 description 2
- 230000004043 responsiveness Effects 0.000 description 2
- 210000001202 rhombencephalon Anatomy 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000002485 urinary effect Effects 0.000 description 2
- 206010002091 Anaesthesia Diseases 0.000 description 1
- 241000699670 Mus sp. Species 0.000 description 1
- 229910003798 SPO2 Inorganic materials 0.000 description 1
- 101100478210 Schizosaccharomyces pombe (strain 972 / ATCC 24843) spo2 gene Proteins 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000037005 anaesthesia Effects 0.000 description 1
- 238000002583 angiography Methods 0.000 description 1
- 230000004872 arterial blood pressure Effects 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000004397 blinking Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 230000003293 cardioprotective effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000003788 cerebral perfusion Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000003759 clinical diagnosis Methods 0.000 description 1
- 208000018695 congenital heart malformation Diseases 0.000 description 1
- 210000002249 digestive system Anatomy 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000002565 electrocardiography Methods 0.000 description 1
- 210000000750 endocrine system Anatomy 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 1
- 229910052753 mercury Inorganic materials 0.000 description 1
- 230000004899 motility Effects 0.000 description 1
- 210000000869 occipital lobe Anatomy 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000036961 partial effect Effects 0.000 description 1
- 230000002980 postoperative effect Effects 0.000 description 1
- 210000004129 prosencephalon Anatomy 0.000 description 1
- 210000004994 reproductive system Anatomy 0.000 description 1
- 210000002345 respiratory system Anatomy 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
- A61B5/7425—Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Veterinary Medicine (AREA)
- Animal Behavior & Ethology (AREA)
- Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physiology (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Cardiology (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Radiology & Medical Imaging (AREA)
- Pulmonology (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a monitoring device, a medical central station system and a monitoring data reviewing method. The monitoring device includes a sensor, a display, and a processor. The sensor is used for collecting monitoring data of a patient. The display is used for displaying the monitoring interface. The processor is used for acquiring monitoring data; displaying a real-time monitoring image and a monitoring evaluation image on a monitoring interface according to the monitoring data, wherein the monitoring evaluation image is used for presenting parameter trend curves and virtual human body models of various parameters, and optionally is also used for presenting preset evaluation parameter values of the various parameters; the virtual human body model is used for graphically displaying the monitoring part; responding to the retrospective operation of any target monitoring point on the parameter trend curve, and determining a target parameter value corresponding to the target monitoring point; according to the target parameter value, the virtual human body model and the optional preset evaluation parameter value are updated and displayed, the browsing operation is simple, the monitoring part can be observed at a fixed point, and the reading efficiency of medical personnel on related monitoring data is improved.
Description
Technical Field
The invention relates to the technical field of medical monitoring, in particular to a monitoring device, a medical central station system and a monitoring data reviewing method.
Background
The monitoring device can monitor the vital signs of the patient in real time, thereby providing important patient information for medical clinical diagnosis. Medical personnel can look over the historical monitoring data of patients by reviewing the browsing data, and then locate abnormal data. However, when a doctor needs to pay attention to the information of a patient of a certain patient at different times, different interfaces need to be switched to realize the review of a plurality of monitoring data so as to locate abnormal data, so that medical personnel cannot quickly browse the overall situation of the patient, the browsing operation is complex, the time consumption is high, and the risk of delaying the state of an illness is increased. Further, on the monitoring interface of the monitoring device, the monitoring site cannot be graphically updated and displayed according to the reviewed monitoring data corresponding to a certain monitoring point, so that the medical staff cannot quickly and effectively assess or diagnose the disease of the patient and/or know the connection state of the monitoring device.
Disclosure of Invention
In view of the above, the present invention provides a monitoring device, a medical central station system and a method for reviewing monitoring data, so as to solve the above technical problems.
In a first aspect, embodiments of the present invention provide a monitoring device for monitoring a physiological state of a patient. The monitoring device includes a sensor, a display, and a processor. The sensor is used for collecting monitoring data of the patient, the monitoring data comprises parameter values of various parameters, and the parameter values of the various parameters comprise real-time parameter values and historical parameter values. The display is used for displaying a monitoring interface. The processor is configured to: acquiring the monitoring data from the sensor; displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface according to the monitoring data, wherein the real-time monitoring image is used for presenting the real-time parameter values and/or real-time parameter waveforms, the monitoring evaluation image is used for presenting parameter trend curves and virtual human body models of the various parameters, and optionally is also used for presenting preset evaluation parameter values of the various parameters; the virtual human body model is used for graphically displaying the monitoring part and the monitoring part according to the parameter values or the parameter trend curves of the various parameters; responding to a retrospective operation aiming at any target monitoring point on the parameter trend curve, and determining a target parameter value corresponding to the target monitoring point; and updating and displaying the virtual human body model and the optional preset evaluation parameter value according to the target parameter value.
In a second aspect, the present application provides a method for reviewing monitoring data, which is applied to a monitoring device in a medical central station system. The review method comprises the following steps:
collecting monitoring data of the patient, wherein the monitoring data comprises parameter values of a plurality of parameters, and the parameter values of the plurality of parameters comprise real-time parameter values and historical parameter values;
displaying a monitoring interface;
acquiring the monitoring data;
displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface according to the monitoring data, wherein the real-time monitoring image is used for presenting the real-time parameter values and/or real-time parameter waveforms, the monitoring evaluation image is used for presenting parameter trend curves and virtual human body models of the various parameters, and optionally is also used for presenting preset evaluation parameter values of the various parameters; the virtual human body model is used for graphically displaying the monitoring part and the monitoring part according to the parameter values or the parameter trend curves of the various parameters;
responding to a retrospective operation aiming at any target monitoring point on the parameter trend curve, and determining a target parameter value corresponding to the target monitoring point;
and updating and displaying the virtual human body model and the optional preset evaluation parameter value according to the target parameter value.
In a third aspect, the present application provides a medical central station system, including a central station device, where the central station device is connected to a monitoring device in a communication manner, and the central station device obtains monitoring data from the monitoring device, and the central station device includes a display, a processor, and a memory. The memory is used for storing programs. The display is used for displaying a monitoring interface. The processor, to execute the program in the memory, configured to:
displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface according to the monitoring data, wherein the real-time monitoring image is used for presenting the real-time parameter values and/or real-time parameter waveforms, the monitoring evaluation image is used for presenting parameter trend curves and virtual human body models of the various parameters, and optionally is also used for presenting preset evaluation parameter values of the various parameters; the virtual human body model is used for graphically displaying the monitoring part and the monitoring part according to the parameter values or the parameter trend curves of the multiple parameters;
responding to a retrospective operation aiming at any target monitoring point on the parameter trend curve, and determining a target parameter value corresponding to the target monitoring point;
and updating and displaying the virtual human body model and the optional preset evaluation parameter value according to the target parameter value.
The embodiment of the application provides a monitoring device, a medical central station system and a monitoring data reviewing method, based on the fact that a real-time monitoring image and a monitoring evaluation image are displayed on a monitoring interface of the monitoring device at the same time, medical staff can browse historical monitoring data quickly, and the medical staff can diagnose and guess the state of an illness of a patient by combining the real-time monitoring data. Furthermore, the user can review the multiple groups of monitoring data corresponding to any target monitoring point on the parameter trend curve, the browsing operation is simple, less time is consumed, the change of the state of an illness can be found more timely, and the risk of delaying the state of the illness is reduced. In addition, on the monitoring interface of the monitoring equipment, the monitoring part and the optional preset evaluation parameter value can be updated and displayed based on the reviewed historical monitoring data in an imaging mode, so that fixed-point observation and management of the monitoring part can be achieved, and relevant changes among the monitoring data corresponding to any monitoring point can be presented in a centralized mode, so that the interpretation efficiency of medical personnel on the relevant monitoring data is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of program modules of a medical central station system according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating steps of a method for displaying monitoring data according to an embodiment of the present invention.
Fig. 3 is an interface diagram of a monitoring interface displayed by a monitoring device in a medical central station system according to an embodiment of the present invention.
Fig. 4 is an interface diagram of a pop-up window interface on a monitoring interface of a monitoring device according to a first embodiment of the present invention, the pop-up window interface being responsive to a preset first operation.
Fig. 5 is an interface diagram of a pop-up window interface on a monitoring interface of a monitoring device according to a second embodiment of the present invention, which is responsive to a preset first operation.
Fig. 6 is an interface diagram of a monitoring interface displayed by a monitoring device in response to a rotating operation of the virtual human body model for the monitoring interface in fig. 5 according to an embodiment of the present invention.
Fig. 7 is a flowchart illustrating steps of a method for reviewing monitoring data according to an embodiment of the present invention.
Fig. 8 is an interface diagram of a monitoring interface displayed by a monitoring device in response to a review operation for any target monitoring point on a parameter trend curve provided by an embodiment of the invention.
FIG. 9 is a schematic view of a window interface of the monitoring interface of FIG. 8.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It is understood that the terminology used in the description and claims of the present application and the accompanying drawings is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. The singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The term "comprises" and any variations thereof is intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Further, the present application can be implemented in various different forms and is not limited to the embodiments described in the present embodiment. The following detailed description is provided for the purpose of providing a more thorough understanding of the present disclosure, and the words used to indicate orientation above, below, left and right are used solely to describe the illustrated structure in the context of the corresponding figures. The term "monitoring interface" may be an interface where the monitoring device displays parameter trends and/or parameter values; or, the interface can be displayed after the monitoring device is started; alternatively, the interface may be one in which the monitoring device is used more frequently.
While the specification concludes with claims describing preferred embodiments of the present application, it is to be understood that the above description is made only for the purpose of illustrating the general principles of the present application and is not intended to limit the scope of the present application. The protection scope of the present application shall be subject to the definitions of the appended claims.
The embodiment of the invention provides a monitoring data display method, a monitoring device and a medical central station system. The monitoring data display method is applied to the medical central station system or the monitoring equipment, and the medical central station system or the monitoring equipment displays a monitoring interface. The display method comprises the following steps:
acquiring monitoring data, wherein the monitoring data comprises parameter values of various parameters, and the parameter values of the various parameters comprise real-time parameter values and historical parameter values; responding to a preset first operation aiming at the monitoring interface, displaying the real-time monitoring image in a first display area of the monitoring interface, and displaying a monitoring evaluation image in a second display area of the monitoring interface; the real-time monitoring image is used for presenting at least one of the real-time parameter values and the real-time parameter waveforms, and the monitoring evaluation image is used for presenting parameter trend curves and virtual human body models of at least part of the parameters in the multiple parameters, and optionally is also used for presenting preset evaluation parameter values of the multiple parameters; the display time length of the parameter trend curve is longer than that of the real-time parameter waveform; the virtual human body model is used for graphically displaying the monitoring part according to the parameter values or the parameter trend curves of the multiple parameters; the preset evaluation parameter value is the real-time parameter value; or, the historical parameter value.
So, monitoring data that monitoring interface can monitor in real time and medical personnel's interested part or the whole monitoring data's of change trend with the screen display, and can present the presentation of the relevant change between the corresponding predetermined aassessment parameter value of a certain monitoring point to medical personnel can browse patient's monitoring data's the whole condition fast, and browse easy operation, and consuming time is less, and the discovery that can be more timely state of an illness changes, reduces the risk that the state of an illness delays. In addition, based on the preset evaluation parameter value, the monitoring part is graphically displayed on the monitoring interface of the monitoring equipment, so that the medical staff can quickly and effectively evaluate or diagnose the disease of the patient and/or know the connection state of each element in the monitoring equipment.
The embodiment of the invention provides a method for reviewing monitoring data. The method for reviewing the monitoring data is applied to the medical central station system or the monitoring equipment, and the medical central station system or the monitoring equipment displays a monitoring interface. The review method comprises the following steps: collecting monitoring data of the patient, wherein the monitoring data comprises parameter values of a plurality of parameters, and the parameter values of the plurality of parameters comprise real-time parameter values and historical parameter values; displaying a monitoring interface; acquiring the monitoring data; displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface according to the monitoring data, wherein the real-time monitoring image is used for presenting the real-time parameter values and/or real-time parameter waveforms, the monitoring evaluation image is used for presenting parameter trend curves and virtual human body models of the various parameters, and optionally is also used for presenting preset evaluation parameter values of the various parameters; the virtual human body model is used for graphically displaying the monitoring part and the monitoring part according to the parameter values or the parameter trend curves of the multiple parameters; responding to a retrospective operation aiming at any target monitoring point on the parameter trend curve, and determining a target parameter value corresponding to the target monitoring point; and updating and displaying the virtual human body model and the optional preset evaluation parameter value according to the target parameter value.
Therefore, based on the fact that the real-time monitoring image and the monitoring evaluation image are displayed on the monitoring interface of the monitoring equipment at the same time, medical staff can browse historical monitoring data quickly and diagnose and guess the state of an illness of a patient by combining the real-time monitoring data. Furthermore, the user can review the multiple groups of monitoring data corresponding to any target monitoring point on the parameter trend curve, the browsing operation is simple, less time is consumed, the change of the state of an illness can be found more timely, and the risk of delaying the state of the illness is reduced. In addition, on the monitoring interface of the monitoring equipment, the monitoring part and the optional preset evaluation parameter value can be updated and displayed based on the reviewed historical monitoring data in an imaging mode, so that fixed-point observation and management of the monitoring part can be achieved, and relevant changes among the monitoring data corresponding to any monitoring point can be presented in a centralized mode, so that the interpretation efficiency of medical personnel on the relevant monitoring data is improved.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a medical central station system 1000 according to an embodiment of the present disclosure. The medical central station system 1000 includes a monitoring device 100 and a third party device 300 communicatively coupled to the monitoring device 100. Both the monitoring device 100 and the third party device 300 may be used to acquire patient monitoring data.
The monitoring device 100 may be, but is not limited to, any one of a monitor, a local central station device, a remote central station device, a cloud service system, a mobile terminal, or a combination thereof. In this embodiment, the monitoring device 100 may be a monitor for monitoring parameters of a patient in real time, which may include a bedside monitor, a wearable monitor, and the like. The third party device 300 comprises a central station device. The central station equipment is used for receiving the monitoring data sent by the monitor and carrying out centralized monitoring on the monitoring data. Wherein the central station device may comprise at least one of a local central station device, a remote central station device.
It should be noted that the central station device connects the monitors in one or more departments through a network, so as to achieve the purpose of real-time centralized monitoring and mass data storage. For example, the central station facility stores, but is not limited to, monitoring data, patient basic information, medical history information, diagnostic information, and the like.
In some embodiments, the monitor and the central station device may form an interconnection platform through BeneLink, so as to implement data communication between the monitor and the central station device, for example, the central station device may access monitoring data monitored by the monitor. In other embodiments, the monitor and the central station device may also establish a data connection through a communication module. The communication module can be, but is not limited to wifi, bluetooth or 2G, 3G, 4G, 5G and other communication modules for mobile communication.
Specifically, in the present embodiment, the monitoring device 100 includes a ventilator monitor, an anesthesia monitor, a defibrillation monitor, an intracranial pressure monitor, an electrocardiograph monitor, and the like. The monitoring device 100 includes, but is not limited to, a processor 20 and a display 30. The display 30 is used for displaying a monitoring interface. The monitoring device 100 may be a portable monitoring device, a transportable monitoring device, or a mobile monitoring device.
It should be understood by those skilled in the art that fig. 1 is only an example of the components included in the medical central station system 1000, and does not constitute a limitation to the medical central station system 1000, and the monitoring apparatus 100 and the medical central station system 1000 may include more or less components than those shown in fig. 1, or combine some components, or different components, for example, the monitoring apparatus 100 may further include a power supply module, etc., and the medical central station system 1000 may further include a positioning navigation device, a printing device, etc.
In some embodiments, processor 20 is configured to: acquiring monitoring data, wherein the monitoring data comprises parameter values of various parameters, and the parameter values of the various parameters comprise real-time parameter values and historical parameter values; responding to a preset first operation aiming at the monitoring interface, displaying a real-time monitoring image in a first display area of the monitoring interface, and displaying a monitoring evaluation image in a second display area of the monitoring interface; the real-time monitoring image is used for presenting at least one of the real-time parameter values and the real-time parameter waveforms, and the monitoring evaluation image is used for presenting parameter trend curves of at least part of parameters in the multiple parameters, a virtual human body model and/or preset evaluation parameter values; the display time length of the parameter trend curve is longer than that of the real-time parameter waveform; the virtual human body model is used for graphically displaying the monitoring part according to the preset evaluation parameter value; the preset evaluation parameter value is the real-time parameter value; or, the historical parameter value.
So monitoring interface can show the monitoring data of monitoring in real time and the interesting part of medical personnel or the change trend of whole monitoring data with the screen, and can present the presentation of the relevant change between the corresponding predetermined aassessment parameter value of a certain monitoring point to medical personnel can browse the whole condition of patient monitoring data fast, and browse easy operation, and consuming time is less, can be more timely discovery state of an illness change, reduce the risk that the state of an illness delays. In addition, according to the preset evaluation parameter value, the monitoring part is graphically displayed on the monitoring interface of the monitoring equipment, so that the medical staff can quickly and effectively evaluate or diagnose the disease of the patient and/or know the connection state of each element in the monitoring equipment.
In some embodiments, the processor 20 is further configured to: acquiring monitoring data, wherein the monitoring data comprises parameter values of various parameters, and the parameter values of the various parameters comprise real-time parameter values and historical parameter values; displaying a real-time monitoring image and a monitoring evaluation image on a monitoring interface of the monitoring equipment according to the monitoring data, wherein the real-time monitoring image is used for presenting at least one of the real-time parameter values and the real-time parameter waveforms, and the monitoring evaluation image is used for presenting parameter trend curves of the various parameters and a virtual human body model and/or a preset evaluation parameter value; the virtual human body model is used for graphically displaying the monitoring part according to the preset evaluation parameter value; responding to a retrospective operation aiming at any target monitoring point on the parameter trend curve, and determining a target parameter value corresponding to the target monitoring point; and updating and displaying the virtual human body model and the optional preset evaluation parameter value according to the target parameter value.
Therefore, based on the fact that the real-time monitoring image and the monitoring evaluation image are simultaneously displayed on the monitoring interface of the monitoring equipment, medical staff can quickly browse historical monitoring data and diagnose and guess the state of an illness of a patient by combining the real-time monitoring data. Furthermore, the user can review multiple groups of monitoring data corresponding to any target monitoring point on the parameter trend curve, the browsing operation is simple, the consumed time is short, the change of the state of an illness can be found more timely, and the risk of delay of the state of an illness is reduced. In addition, on the monitoring interface of the monitoring equipment, the monitoring part and the optional preset evaluation parameter value can be updated and displayed based on the reviewed historical monitoring data in an imaging mode, so that fixed-point observation and management of the monitoring part can be achieved, and relevant changes among the monitoring data corresponding to any monitoring point can be presented in a centralized mode, so that the interpretation efficiency of medical personnel on the relevant monitoring data is improved.
In some embodiments, the monitoring device 100 further comprises a sensor 10. The sensor 10 and the processor 20 and the display 30 can be connected through a wired communication protocol or a wireless communication protocol, so that data interaction can be performed between the sensor 10 and the processor 20 and the display 30. The wireless communication technologies include, but are not limited to: various generations of mobile communication technologies (2G, 3G, 4G, and 5G), wireless networks, Bluetooth, ZigBee, ultra wideband UWB, NFC, and the like.
In particular, the sensor 10 is used to collect patient monitoring data. Wherein the monitored parameter may comprise a physiological parameter. The physiological parameters include, but are not limited to, one or more vital sign parameters of electrocardio, respiration, pulse oxygen saturation, heart rate, blood oxygen, noninvasive blood pressure and invasive blood pressure.
In some embodiments, the sensor 10 may be separately disposed from the monitoring device 100 and removably coupled to the monitoring device 100. The sensor 10 may be used to collect patient monitoring data in real time. The processor 20 is also used for data processing of the monitoring data signals from the sensors 10. The sensor 10 includes, but is not limited to, monitoring parameter monitoring accessories such as electrocardio, respiration, blood oxygen, blood pressure, cerebral blood flow, cerebral blood oxygen, electroencephalogram, and cerebrovascular regulation. Wherein the monitoring device 100 is provided with several connection interfaces. The plurality of connectors may be, but not limited to, an ecg/pneumonic connector, a blood oxygen connector, an invasive blood pressure connector, a non-invasive blood pressure connector, a cerebral blood flow connector, a cerebral blood oxygen connector, an eeg connector, a cerebrovascular regulation connector, and the like. The monitoring parameter monitoring accessory is electrically connected to the monitoring device 100 via a connection interface. In other embodiments, the sensor 10 may also be integrated on the monitoring device 100.
In other embodiments, the monitoring device 100 may not include the sensor 10, and the monitoring device 100 may receive monitoring data collected by an external monitoring accessory via the communication module.
The processor 20 may also be used to control the cooperation of various functional components within the monitoring device 100. Specifically, the processor 20 is configured to process vital sign parameters of electrocardio, respiration, blood oxygen, blood pressure, cerebral blood flow, cerebral blood oxygen, electroencephalogram, cerebrovascular regulation, and the like, which are acquired by the sensor 10, so as to obtain monitoring data, and control the display 30 to display the monitoring data. The monitoring data includes, but is not limited to, at least one of a parameter value and a parameter trend.
In the present embodiment, the display 30 is used to provide visual display output for the user. In particular, the display 30 may be used to provide a visual display interface for a user, such as, but not limited to, a monitoring interface, a monitoring parameter setting interface, an alarm parameter setting interface, and the like. The monitor interface displayed by the display 30 is used for displaying the monitored data in the preset time period.
Specifically, the display 30 may be a touch display, or the display 30 may have an input panel, that is, the display 30 may serve as an input and output device.
In some embodiments, the monitoring device 100 further includes an alarm module 50 coupled to the processor 20. The alarm module 50 is used for outputting an alarm prompt so that medical staff can execute corresponding rescue measures and can know the condition of the patient and the working state of the equipment in real time, thereby avoiding the phenomenon of negligence of the medical staff or the patient and improving the monitoring safety. The alarm module 50 is, for example, but not limited to, an alarm lamp, an alarm speaker, etc. In this embodiment, the alarm module includes a light emitting diode and/or a buzzer for generating an audible and visual alarm signal. When one or more monitored parameter values exceed a preset threshold, for example, the heart rate is lower than the heart rate threshold, and the blood pressure is higher than the preset threshold, the alarm module 50 is triggered to alarm the medical staff, and specific alarm information may be displayed on the display 30, or played through an audio alarm speaker, or printed out through a printing device.
For user interface and data exchange, the monitoring device 100 may comprise, in addition to the display 30, an input/output means 60 connected to the processor 20. The input/output device 60 may be used for inputting operation instructions by a user and outputting a visual display interface to the user. Input/output devices 60 include, but are not limited to, input devices such as keyboards, mice, touch-sensitive display screens, remote controls, etc., and output devices such as, but not limited to, printers, voice players, USB ports, ethernet connections, or other interfaces, ports, etc., for transmitting monitoring data to and from a connected computer or any other device within the hospital local area network HLAN. In particular, in some embodiments, the input/output device 60 interfaces the monitoring device 100 with a computer, and a user can input configuration parameters and the like via the computer and the input/output device 60. In other embodiments, the input/output device 60 interfaces the monitoring device 100 with the network of the HLAN and may receive additional time-stamped clinical information, such as blood gas data, laboratory results, etc., which the user may utilize as additional input configuration parameters, etc., through the HLAN and the input/output device 60.
The monitoring device 100 may also include a communication module 70 coupled to the processor 20. The processor 20 is further configured to control the communication module 70 to transmit the vital signs monitoring data collected by the sensor 10 to the third party device 300. In some embodiments, as previously described, the display 30 may also serve as an input/output device 60, such as a touch screen display.
In some embodiments, the monitoring device 100 may establish data communication with the third party device 300 via the communication module 70. The communication module 70 may be, but is not limited to, a WiFI, a bluetooth, an NFC, a ZigBee, an ultra wideband UWB, or a mobile communication module such as 2G, 3G, 4G, 5G. Therefore, monitoring information such as monitoring parameters and alarm prompt information of the patient can be wirelessly transmitted to the third-party device 300 of the hospital for centralized monitoring through the communication module 70 of the monitoring device 100. In other embodiments, the monitoring device 100 may also establish a connection with the third party device 300 via a cable. The third party device 300 may be, but is not limited to, a central monitoring service station device or a bedside monitor. The third-party device 300 may also be a cloud service system or a mobile terminal such as a mobile phone, a tablet computer, and a personal computer.
The number of monitoring devices 100 may include one or more, among others. The third party device 300 establishes data communication with at least one monitoring device 100. The third party device 300 includes a processor 302, a display 304, a memory 306, and an alarm module 308. In some embodiments, the functions of the processor 302, the display 304, the memory 306 and the alarm module 308 of the third party device 300 may include the same functions as the processor 20, the display 30, the memory 40 and the alarm module 50 of the monitoring device 100, and thus are not described in detail herein. For example, the processor 302 may also be configured to process the monitoring data collected by the sensor 10 and control the display 304 to display the monitoring data. The functions of the processor 302, the display 304 and the memory 306 of the third party device 300 may also include the functions of the processor 20, the display 30 and the memory 40 of the monitoring device 100, for example, the processor 20 may receive and process monitoring data directly transmitted by different monitoring devices 100 through the communication module 70.
The Processor 20, 302 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The processor 20 is the control center of the monitoring device 100 and connects the various parts of the overall monitoring device 100 using various interfaces and lines. The processor 20 is the control center for the third party device 300 and connects the various parts of the overall third party device 300 using various interfaces and lines.
The processor 20, 302 is further configured to perform all the steps of the following method for displaying the monitoring data and the following method for reviewing the monitoring data. For example, step S201 to step S205 in fig. 2, step S701 to step S709 in fig. 7, and the like. Specifically, the memory 40 stores a program 401, the memory 306 stores a program 307, and the processors 20 and 302 are configured to call the programs 401 and 307 of the memories 40 and 306 to execute all the steps of the following method for displaying monitoring data and the following method for reviewing monitoring data.
The memory 40, 306 may be used to store patient monitoring data. The memory 40, 306 may be used to store computer programs and/or modules, and the processor 20, 302 may implement various functions of the monitoring device 100 and the third party device 300 by running or executing the computer programs and/or modules stored in the memory 40, 306 and invoking data stored in the memory 40, 306. The memory 40, 306 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, application programs required for a plurality of functions (such as a sound playing function, an image playing function, etc.), and the like; the data storage area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory 40, 306 may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), a plurality of magnetic disk storage devices, a Flash memory device, or other volatile solid state storage device.
The embodiment of the invention discloses a method for displaying monitoring data, which can display the monitoring data monitored in real time and the change trend of part or all monitoring data interested by medical staff on the same screen, and can present the presentation of relevant changes between preset evaluation parameter values corresponding to a certain monitoring point, so that the medical staff can quickly browse the whole condition of the monitoring data of a patient, the browsing operation is simple, the time consumption is less, the change of the state of an illness can be discovered more timely, and the risk of delaying the state of the illness is reduced. In addition, based on the preset evaluation parameter value, the monitoring part is graphically displayed on the monitoring interface of the monitoring equipment, so that the medical staff can quickly and effectively evaluate or diagnose the disease of the patient and/or know the connection state of each element in the monitoring equipment. The details are described below.
Referring to fig. 1 and fig. 2 together, fig. 2 is a flowchart illustrating a method for displaying monitoring data according to an embodiment of the present application. The display method of the monitoring data is applied to the medical central station system 1000. Specifically, the monitoring data display method can be applied to the monitoring device 100 alone, the third-party device 300 alone, and both the monitoring device 100 and the third-party device 300. In the present embodiment, the monitoring data display method is applied to the monitoring device 100 as an example. The monitoring device 100 displays a monitoring interface, and the method for displaying the monitoring data includes the following steps.
Step S201, a monitoring interface is displayed.
It can be understood that, when the display method of the monitoring data is applied to the monitoring device 100, before the step S201, the display method further includes: monitoring data of the patient is acquired. In this embodiment, the monitoring data of the patient is acquired by the sensor 10 of the monitoring device 100. The processor 20 acquires the monitoring data from the sensor 10. When the display method of the monitoring data is applied to the central station device of the medical central station system 1000, the central station device displays the interface, and the central station device acquires the monitoring data from the monitoring device 100. It should be noted that step S201 may be executed before step S203; alternatively, it may be performed after step S203.
Step S203, acquiring monitoring data, wherein the monitoring data comprises parameter values of various parameters, and the parameter values of the various parameters comprise real-time parameter values and historical parameter values.
In some embodiments, the acquiring of the monitoring data specifically includes: and acquiring monitored data in a preset time period. The preset time period may be customized by a setting menu of the monitoring device 100, or preset by the monitoring device 100 by factory default, for example, 1 hour, 2 hours, 5 hours, and the like. In the present embodiment, the preset time period refers to a set of all times that the monitoring device 100 monitors the vital sign parameters of the patient continuously or at preset time intervals. The monitoring data may further include parameter trends corresponding to parameter values of the plurality of parameters. The parameter trend is continuously generated over time. The parameter trends include real-time parameter waveforms displayed on the monitoring device 100 in real-time and hidden or masked historical parameter trends. The monitoring data comprises brain protection related monitoring data.
It should be noted that, the embodiments of the present application are described by taking brain protection monitoring as an example, and those skilled in the art should understand that the interface display scheme of the present application can also be applied to other organs, systems or their combination protection monitoring.
Referring to fig. 3, fig. 3 is an interface diagram of a monitoring interface 301 displayed by the monitoring device 100. The monitoring interface 301 displays the monitoring data related to the brain protection. The brain protection related monitoring data comprises brain blood flow related monitoring data, electroencephalogram related monitoring data, brain oxygen saturation related monitoring data, cerebral blood vessel regulation related monitoring data and the like. The brain protection related monitoring data further includes Electrocardiography (ECG), blood oxygen saturation (SpO2), and the like. In this embodiment, cerebral vascular regulation (CA) refers to Cerebral Vascular Reactivity (CVR). CVR refers to the ability of the brain to dilate or constrict under the action of various factors that influence vascular motility. The cerebral blood flow related monitoring data includes, but is not limited to, intracranial pressure (ICP), Cerebral Perfusion Pressure (CPP), Mean Arterial Pressure (MAP), and the like. The electroencephalogram-related monitoring data includes, but is not limited to, electroencephalograms (EEG), Bipolar Index (BIS), amplitude-integrated electroencephalograms (aEEG), DSA (digital angiography, DSA), PRx (pressure response index), and the like. The cerebral blood oxygen related monitoring data includes, but is not limited to, local oxygen saturation (rSO 2), transcranial Doppler (TCD) ultrasound data, and the like. The cerebrovascular regulation-related monitoring data include, but are not limited to, end-tidal carbon dioxide concentration or partial pressure (EtCO2) and body Temperature (TEMP).
In some embodiments, the monitoring interface 301 includes a status bar 31, a menu bar 33, and a task bar 35 disposed between the status bar 31 and the menu bar 33. The status bar 31 is displayed on the top bar of the monitoring interface 301, the menu bar 33 is displayed on the bottom bar of the monitoring interface 301, and the task bar 35 can be displayed between the top bar and the bottom bar of the monitoring interface 301, that is, in an intermediate position, so as to facilitate the observation operation of the user. The status bar 31 may be used to display a status identification icon. The status identification icon may include, but is not limited to, a network identification icon, a power identification icon, a monitoring type icon, a patient basic information icon, and the like.
The menu bar 33 may be used to display function menu item icons. The function menu item icons may include a control icon 331. The user may manipulate the control icon 331 to adjust the content displayed by the monitoring interface 301. In some embodiments, the control icon 331 may also be disposed on the status bar 31 of the monitoring interface 301, or the task bar 35 of the monitoring interface 301. In other embodiments, menu bar icons 33 may also include volume adjustment icons, power on/off icons, menu setting item icons, and the like.
Step S205, responding to a preset first operation aiming at the monitoring interface, displaying the real-time monitoring image in a first display area of the monitoring interface, and displaying a monitoring evaluation image in a second display area of the monitoring interface; the real-time monitoring image is used for presenting at least one of the real-time parameter values and the real-time parameter waveforms, and the monitoring evaluation image is used for presenting parameter trend curves and virtual human body models of at least part of the parameters in the multiple parameters, and optionally is also used for presenting preset evaluation parameter values of the multiple parameters; the display time length of the parameter trend curve is longer than that of the real-time parameter waveform; the virtual human body model is used for graphically displaying the monitoring part according to the parameter values or the parameter trend curves of the multiple parameters; the preset evaluation parameter value is the real-time parameter value; or, the historical parameter value.
In the embodiment of the application, the parameter trend curve of at least part of the multiple parameters and the virtual human body model are displayed in the second display area of the monitoring interface, and the virtual human body model is used for graphically displaying the monitoring part according to the parameter values or the parameter trend curves of the multiple parameters, so that medical workers can quickly know the state of the monitoring part according to the virtual human body model and the parameter trend curve corresponding to the interested monitoring point, and the interpretation efficiency of doctors on the multiple parameters is improved. In addition, the preset evaluation parameter values of the various parameters are optionally displayed in the second display area, so that medical staff are further assisted to master the state of the patient, corresponding manual intervention is performed, and the working efficiency of the medical staff is improved.
Optionally, in some embodiments, the responding to the preset first operation of the monitoring interface displays the real-time monitoring image in a first display area of the monitoring interface, and displays the monitoring evaluation image in a second display area of the monitoring interface, specifically including: and controlling to simultaneously display the real-time monitoring image and the monitoring evaluation image according to the monitoring data, displaying the real-time monitoring image in a first display area of the monitoring interface, and displaying the monitoring evaluation image in a second display area of the monitoring interface.
Optionally, in some embodiments, before the responding is to the preset first operation of the monitoring interface, the display method further includes: and displaying the real-time monitoring image on the monitoring interface according to the monitoring data. Therefore, the monitoring evaluation image can be controlled and displayed on the corresponding display interface of the real-time monitoring image.
Wherein the real-time monitoring image is displayed in the taskbar 35. In this embodiment, the real-time parameter waveforms of the plurality of parameters are displayed in the upper left area of the task bar 35, and the real-time parameter values of the plurality of parameters are displayed in the right area and the lower left area of the task bar 35. In other embodiments, the real-time parameter waveforms for the plurality of parameters may be displayed in a left area of the taskbar 35 and the real-time parameter values for the plurality of parameters may be displayed in a right area of the taskbar 35. The real-time parameter values and the real-time parameter waveforms are arranged from left to right and from top to bottom according to the attention of the user, so that the common observation habits of the user are met, the user can conveniently check the real-time parameter values and the real-time parameter waveforms, and the time of medical staff for diagnosing the state of an illness is greatly saved. It should be noted that, the real-time parameter values and the real-time parameter waveforms are not specifically limited in this application, and the specific display arrangement manner of the real-time parameter values and the real-time parameter waveforms in the task bar 35 is described. In some embodiments, the real-time monitoring image is used only to present the real-time parameter values or real-time parameter waveforms.
In the present embodiment, the plurality of parameters includes, but is not limited to, at least one of electrocardiogram, ICP, CPP, MAP, EEG, BIS, aag, rSO2, etCO 2. In other embodiments, the plurality of parameters may also include, but are not limited to, cardioprotection-related monitoring parameters, pulmonary protection-related monitoring parameters, nervous system-related monitoring parameters, blood system-related monitoring parameters, urinary system-related monitoring parameters, and the like. The monitoring parameter types of the multiple parameters can be customized by a user or preset by the factory of the monitoring equipment.
It is noted that the term "real-time" may denote the most recently collected time-stamped samples, which are not necessarily the value at the current time. For example, if a new SPO2 sample is acquired every two seconds, the real-time parameter values displayed in the assessment parameter value area may have been acquired up to two seconds prior to the current time. The real-time parameter value refers to a value acquired closest to the current moment. The real-time parameter waveform refers to a parameter trend corresponding to a preset time period before the current time. The preset time period is a display time length of the real-time parameter waveform customized by a user, or a factory default setting of the monitoring device 100, for example, 10min, 20min, 30min, or the like.
The preset evaluation parameter value may be a parameter value corresponding to the latest monitoring point on the parameter trend curve (i.e., the real-time parameter value); alternatively, the historical parameter value may be a parameter value corresponding to a historical monitoring point on the parameter trend curve.
In this embodiment, the trend type and the trend number of the real-time parameter waveform are greater than those of the parameter trend curve. The trend type of the real-time parameter waveform corresponds to a parameter type. The trend type of the real-time parameter waveform may comprise a trend type of at least a portion of the parameter trend curve.
Specifically, the monitoring and evaluating image presents a parameter trend curve corresponding to trend types of all the real-time parameter waveforms, or the monitoring and evaluating image presents a parameter trend curve corresponding to trend types of a part of the real-time parameter waveforms; alternatively, the monitoring evaluation image presents a parameter trend curve other than a trend type with respect to a portion of the real-time parameter waveform. For example, the trend types of the parameter trend curves include a MAP trend, an rSO2-1 trend and an rSO2-2 trend, while the trend types of the real-time parameter waveforms do not include a MAP trend, an rSO2-1 trend and an rSO2-2 trend, and the trend types of the parameter trend curves and the trend types of the real-time parameter waveforms each include an ICP trend, an Fp1-T3 trend, an Fp2-T4 trend, a C3-01 trend, a C4-02 trend and an EtCO2 trend. In some embodiments, the trend type and the trend number of the real-time parameter waveform both correspond to the trend type and the trend number of the parameter trend curve.
The preset first operation may also be, but is not limited to, a single click, a double click, a right click, a long press, or a slide operation. In this embodiment, the preset first operation refers to an operation in which the first operation meets a preset parameter condition, for example, a triggering operation in a preset area, or an operation in which a first operation parameter value corresponding to the first operation meets a preset parameter threshold value, so as to avoid a problem that a user performs other misoperation on the monitoring interface 301 to trigger the monitoring interface 301 to change the display content, thereby enhancing the use safety of the monitoring device 100.
In an embodiment, the displaying the real-time monitoring image in a first display area of the monitoring interface and the monitoring evaluation image in a second display area of the monitoring interface in response to a preset first operation of the monitoring interface includes:
and responding to a preset first operation aiming at the monitoring interface, reducing the display size of the real-time monitoring image so as to display the reduced real-time monitoring image in the first display area, and displaying the monitoring evaluation image in the second display area, wherein the real-time monitoring image and the monitoring evaluation image are not overlapped.
Referring to fig. 2 to 4 together, fig. 4 is an interface diagram illustrating a pop-up window interface 340 on a monitoring interface 301 of the monitoring device 100 according to the first embodiment of the present invention in response to a preset first operation. As shown in fig. 4, the monitoring interface 301 includes a first display area 32 and a second display area 34, and the first display area 32 is adjacent to the second display area 34 and does not overlap, i.e., the monitoring evaluation image and the real-time monitoring image do not overlap. Specifically, based on a first operation in response to a preset for the monitoring interface 301, the task bar 35 is divided into the first display area 32 and the second display area 34. The first display area 32 is located in the left area of the task bar 35, and the second display area 34 is located in the right area of the task bar 35. In this embodiment, the second display area 34 displays a window interface 340. The monitoring evaluation image is displayed in the window interface 340. In other embodiments, the monitoring evaluation image may also be displayed directly within the second display area 34.
In some embodiments, the reducing the display size of the real-time monitoring image in response to the preset first operation for the monitoring interface to display the reduced real-time monitoring image in the first display area and the monitoring evaluation image in the second display area includes:
responding to a preset first operation aiming at the monitoring interface, reducing the display size of the real-time monitoring image so as to display the reduced real-time monitoring image in the first display area, and correspondingly displaying a window interface in the second display area,
and displaying the monitoring evaluation image in the window interface.
Specifically, in this embodiment, in response to a preset first operation for the control icon 331, the display size of the real-time monitoring image is reduced, so that the reduced real-time monitoring image is displayed in the first display area 32, a window interface 340 is correspondingly displayed in the second display area 34, and the monitoring evaluation image is displayed in the window interface 340.
In some embodiments, the responding to the preset first operation of the monitoring interface may also be responding to the preset first operation of the real-time monitoring image, for example, responding to the preset first operation of the real-time parameter waveform corresponding position of the real-time monitoring image.
In another embodiment, the responding to the preset first operation of the monitoring interface displays the real-time monitoring image in a first display area of the monitoring interface and displays the monitoring evaluation image in a second display area of the monitoring interface, including:
and responding to a preset first operation aiming at the monitoring interface, displaying the real-time monitoring image in a first display area of the monitoring interface, correspondingly displaying a window interface in a second display area, and displaying the monitoring evaluation image in the window interface, wherein at least part of the real-time monitoring image is covered by the monitoring evaluation image.
Referring to fig. 2 to 5, fig. 5 is an interface diagram illustrating a pop-up window interface 340 on a monitoring interface 301 of a monitoring device 100 according to a second embodiment of the present invention in response to a preset first operation. As shown in fig. 5, the monitoring interface 301 includes a first display area 32 and a second display area 34, and the first display area 32 overlaps the second display area 34. Specifically, based on a first operation preset for the monitoring interface 301 in response, a window interface 340 pops up above the taskbar 35, and the window interface 340 covers a part of the real-time monitoring image. The first display area 32 covers the entire taskbar 35 and the second display area 34 is located in the right area of the taskbar 35, i.e. the second display area 34 at least partially overlaps the first display area 32. In some embodiments, the monitoring evaluation image partially overlaps the real-time monitoring image, and the monitoring evaluation image partially overlays the real-time monitoring image. In some deformable embodiments, the second display area 34 completely overlaps the first display area 32, i.e. the monitor evaluation image completely overlaps the real-time monitor image, and the monitor evaluation image covers over the real-time monitor image. In this embodiment, the monitoring evaluation image covers the real-time parameter waveform in the real-time monitoring image, so as to improve the visual effect of the user for observing the monitoring evaluation image. In this embodiment, the second display area 34 displays a window interface 340. The monitoring evaluation image is displayed in the window interface 340. In other embodiments, the monitoring evaluation image may also be displayed directly within the second display area 34.
In some embodiments, the display method further comprises:
when an adjusting operation for the window interface is detected, adjusting the display position and/or the display size of the window interface, and adjusting the display position and/or the display size of the monitoring evaluation image, wherein the adjusting operation comprises at least one of a moving operation, a reducing operation and a magnifying operation.
The window interface 340 may move, zoom out, or zoom in the monitoring evaluation image based on an adjustment operation input by a user. For example, the user single-finger operation window interface 340 is defined to implement the moving operation, and the user double-finger or multi-finger operation window interface 340 is defined to implement the zooming-in operation and the zooming-out operation. The moving operation, the reducing operation, and the enlarging operation may employ an image adjusting operation of the related art, and the present invention is not particularly limited.
The display method further comprises the following steps:
and responding to a preset second operation aiming at the monitoring interface, and displaying the real-time monitoring image on the monitoring interface without displaying the monitoring evaluation image, wherein the real-time monitoring image covers the first display area and the second display area.
The preset second operation may also be, but is not limited to, a single click, a double click, a right click, a long press, or a slide operation. The preset second operation may be different from or the same as the preset second operation. For example, the preset first operation is to click the control icon 331, and the second operation is to click a close button 341 arranged on the window interface 340 or click the control icon 331. The preset second operation refers to an operation in which the second operation meets a preset parameter condition, for example, a trigger operation in a preset area, or an operation in which a second operation parameter value corresponding to the second operation meets a preset parameter threshold value, so that a problem that a user performs other misoperation on the monitoring interface 301 to trigger a change of the display content of the monitoring interface 301 is avoided, and the use safety of the monitoring device 100 is enhanced.
As shown in fig. 4 and 5, the window interface 340 includes a close button 341. The display method further comprises the following steps:
and responding to the closing operation aiming at the closing button, and amplifying the display size of the real-time monitoring image or keeping the display size of the real-time monitoring image unchanged so that the real-time monitoring image covers the first display area and the second display area.
Based on the closing operation of the closing button 341 in response, the monitoring interface 301 resumes displaying the real-time monitoring image, that is, displays the real-time monitoring image in full screen in the taskbar 35, so that the real-time monitoring image covers the first display area 32 and the second display area 34. Thus, the medical care can more intuitively watch the real-time change of the monitoring data.
Referring to fig. 4 and 5, the first display area 32 includes a first area 322 and a second area 324, and the second display area 34 includes a parameter trend curve area 342 adjacent to the first area 322. The display method further comprises the following steps:
displaying the real-time parameter waveform in the first area and displaying the real-time parameter value in the second area according to monitoring data within a preset first display time length;
and displaying the parameter trend curve in the parameter trend curve area according to monitoring data in a preset second display time length, wherein the first display time length is less than the second display time length.
The preset first display time length and the preset second display time length may be customized by a user or may be set by default when the monitoring device leaves a factory, for example, the preset first display time length is 20min, 30min, and the like, and the preset second display time length is 2h, 3h, and the like. In the present embodiment, the first area 322 and the second area 324 are adjacently disposed, and the second display area 324 is located at the right area and the bottom area of the first display area 322. In some embodiments, the first area 322 may be disposed side by side with the second area 324, so as to avoid the phenomenon that the parameter trend curve is connected with the real-time parameter waveform to cause visual confusion, and provide better parameter trend curve and real-time parameter waveform observation effect for the user.
It can be understood that, because the second display time length is longer than the first display time length, medical personnel can visually observe and know the change trend of the monitoring part of the patient from the parameter trend curve, and the diagnosis of the medical personnel on the illness state of the patient is facilitated.
The parameter trend curve area comprises at least one trend display area, and the display method further comprises the following steps:
determining a trend type corresponding to the parameter trend curve;
and displaying the parameter trend curves of the same trend type in the same trend display area, and displaying the parameter trend curves of different trend types in different trend display areas respectively.
As shown in fig. 4, in the present embodiment, the at least one trend display area 3421 includes four trend display areas. The four trend display areas respectively display a cerebral blood flow related trend, a cerebral blood oxygen related trend, an electroencephalogram related trend and a cerebral blood vessel regulation related trend. The brain blood flow related trend comprises a MAP trend, a CPP trend, an ICP trend and the like. The brain blood oxygen related trend comprises an rSO2-1 trend, an rSO2-2 trend and the like, and the brain electricity related trend comprises an Fp1-T3 trend, an Fp2-T4 trend, a C3-01 trend, a C4-02 trend and the like. The trend related to cerebrovascular regulation includes the EtCO2 trend and the like.
Optionally, the display method further includes: and highlighting a closed area 3421 which is formed by enclosing the brain blood oxygen trend curve and the brain blood oxygen threshold baseline together. The highlighting includes one or a combination of highlighting, blinking, changing color, adding a reminder, changing transparency, changing background color of the enclosed area 3421. The cerebral blood oxygen threshold baseline is a straight line which passes through the cerebral blood oxygen low threshold or the cerebral blood oxygen high threshold and is parallel to the time axis corresponding to the cerebral blood oxygen trend curve. It should be noted that the trend type of the parameter trend curve can be differentiated according to the corresponding monitoring data obtained by a sensor or a special instrument; alternatively, the monitoring site may be divided, for example. The type and number of the parameter trend curves may be customized by a user, or may be default settings of the monitoring device 100, which is not specifically limited in the present invention. For example, the parameter trend curve may include only a MAP trend and a CPP trend among the cerebral blood flow-related trends, or may not include the cerebral blood flow-related trends. In other embodiments, the window interface 340 further includes a setting item 3413, and in response to a triggering operation for the setting item 3413, the window interface controls a display of a property setting interface, and the type and the number of trends of the parameter trend curve and the like can be set through the property setting interface.
The display method further comprises the following steps:
and a first title corresponding to the trend type is displayed in each trend display area.
The first title displayed in the trend display area corresponding to the cerebral blood flow related trend is, for example, but not limited to, "cerebral blood flow", "cerebral blood flow related trend", and the like. The first title displayed in the trend display area corresponding to the trend related to the blood oxygen content of brain is, for example, but not limited to, "blood oxygen content of brain", "brain oxygen", "trend related to blood oxygen of brain", and so on. The first title displayed by the trend display area corresponding to the electroencephalogram related trend is, for example, but not limited to, "electroencephalogram", "electroencephalogram related trend", and the like. The first title displayed in the trend display area corresponding to the trend related to cerebrovascular regulation is, for example, but not limited to, "cerebrovascular regulation", "cerebrovascular responsiveness", "trend related to cerebrovascular regulation", and the like.
In this embodiment, a time control 3415 is displayed in the second display region 34. The displaying the parameter trend curve in the parameter trend curve area according to the monitoring data within the preset second display time length specifically includes:
when the time control is detected to receive a time selection instruction, determining a target display time length, and taking the target display time length as the second display time length;
and displaying the at least one parameter trend curve in the parameter trend curve area according to the monitoring data within a preset second display time length.
The second display time period may be customized by a user, or may be factory default settings of the monitoring device 100, such as 2 hours, 1.5 hours, and so on. In this embodiment, the time control 3415 may be displayed in the parameter trend curve area 342 or in an area outside the parameter trend curve area 342 of the second display area 34. In other embodiments, time control 3415 may also be displayed within the property settings interface.
The displaying the at least one parameter trend curve in the parameter trend curve area according to the monitoring data within the preset second display time length specifically includes:
and displaying the parameter trend curve in the parameter trend curve area according to the monitoring data in the second display time length before the current moment.
For example, assuming that the second display time period is 2 hours, the parameter trend curve displayed in the parameter trend curve area 342 is a compression trend formed based on the monitoring data within 2 hours before the current time. Therefore, medical staff can quickly know the change trend of the current monitoring data based on the parameter trend curve so as to predict future measurement results.
The displaying the parameter trend curve in the parameter trend curve area according to the monitoring data within the target display time length before the current time specifically includes:
constructing a two-dimensional coordinate graph in the parameter trend curve area, wherein a horizontal axis of the two-dimensional coordinate graph is a time axis, a vertical axis of the two-dimensional coordinate graph is a parameter axis, the time axis represents recording time corresponding to all monitoring points at each acquisition time within the target display time length, and the parameter axis represents parameter values corresponding to all monitoring points at each acquisition time within the target display time length;
and mapping the recording time and the parameter value into the two-dimensional coordinate graph so as to display the parameter trend curve in the two-dimensional coordinate graph, wherein the parameter trend curve is arranged along the direction parallel to the time axis.
In this embodiment, in the two-dimensional coordinate graph, all the parameter trend curves may share the same time axis, the parameter axes corresponding to different types of parameter trend curves are different, and the parameter axes corresponding to the same type of parameter trend curves are the same or different, for example, the parameter axes corresponding to the MAP trend and the CPP trend are the same, and the parameter axis corresponding to the ICP trend is different from the parameter axes corresponding to the MAP trend and the CPP trend.
It should be noted that different parameter axes may be determined based on the data type of the parameter value corresponding to each parameter; alternatively, the distinction may also be based on being obtained by a sensor or a dedicated instrument, and so on.
In the embodiment of the application, the parameter trend curve is arranged along the direction parallel to the time axis, so that the convenience is brought to users for comparing different parameters, the medical staff can observe and know the relevant change between each parameter corresponding to the patient conveniently, and the medical staff can quickly and effectively evaluate or diagnose the disease of the patient.
In some embodiments, the display method further comprises:
when the preset evaluation parameter value is determined to be the real-time parameter value, the virtual human body model displays the real-time state of the monitoring part in a graphical dynamic effect;
and when the preset evaluation parameter value is determined to be the historical parameter value, displaying the historical state of the monitoring part by the virtual human body model in a graphical static effect.
Specifically, when the preset evaluation parameter value is determined as the real-time parameter value corresponding to each parameter, the virtual human body model can graphically display the monitoring part to feed back the state of the monitoring part of the patient in real time, so that the medical staff can observe and predict the monitoring result conveniently. Wherein the dynamic effect may be, but is not limited to, a color change, a thickness change, a highlight, an arrow, or the like. For example, if the MAP monitored by the patient at the current time is 80 millimeters of mercury (mmHg), the CPP is 70mmHg, the MAP monitored by the patient within a preset time before the current time is 90mmHg, and the CPP is 80mmHg, the blood vessel in the virtual human body model will be thickened to remind the user of the pressure increase of the blood flow of the patient on the blood vessel wall. Conversely, when the blood vessel in the virtual human body model becomes thinner, the pressure of the blood flow of the patient on the blood vessel wall is reduced. Wherein, the thickness of the blood vessel and the pressure value or the pressure change value can establish a corresponding relation. The preset time may be a default setting defined by a user or a factory of the monitoring device 100, for example, the preset time may be a time point corresponding to the input of the patient monitoring data closest to the current time point, that is, a shortest time corresponding to the measurement signal acquired by the sensor 10 or other special instrument of the monitoring device 100; alternatively, the time point may be a preset time length before the current time point, for example, 1min, 3min, 5min, and the like, where the preset time length is greater than the shortest time corresponding to the measurement signal acquired by the sensor 10 of the monitoring device 100 or other special instruments.
When the preset evaluation parameter value is determined to be the historical parameter value, the historical state of the monitoring part is displayed by the virtual human body model in a graphical static effect, so that medical workers can select interested historical monitoring points to know the virtual human body model corresponding to the interested historical monitoring points, and therefore the historical state of the monitoring part is known based on the virtual human body model corresponding to the interested monitoring points, and the interpretation efficiency of doctors on electroencephalograms is improved.
Referring again to fig. 5, in some embodiments, the second display area 34 may include only the parameter trend curve area 342 and the image display area 344. Specifically, the second display area 34 further includes an image display area 344 adjacent to the parameter trend curve area 342, and the display method further includes:
displaying the virtual human body model in the image display area, and displaying the preset evaluation parameter value in an area outside the virtual human body model.
In the present embodiment, the image display area 344 is located on a side of the parameter trend curve area 342 away from the first area 422, and the parameter trend curve area 342 and the image display area 344 are arranged side by side.
As shown in fig. 4, in the present embodiment, the second display area 34 further includes an evaluation parameter value area 346 adjacent to the parameter trend curve area 342 and the image display area 344, and the display method further includes:
displaying the virtual human body model in the image display area;
and displaying the preset evaluation parameter value in the evaluation parameter value area, wherein the preset evaluation parameter value is a preset real-time parameter value or a preset historical parameter value.
Specifically, in the present embodiment, the image display area 344 and the evaluation parameter value area 346 are arranged side by side, and both the image display area 344 and the evaluation parameter value area 346 are arranged adjacent to the parameter trend curve area 242. In some embodiments, the image display area 344 and the evaluation parameter value area 346 may be arranged side by side or overlapping. The arrangement of the parameter trend curve area 342, the image display area 344 and the evaluation parameter value area 346 is not particularly limited.
The parameter type corresponding to the preset evaluation parameter value can be customized by a user or factory default setting of the monitoring equipment. In this embodiment, the parameter type corresponding to the preset evaluation parameter value at least includes the parameter type corresponding to the parameter trend curve, that is, the parameter type corresponding to the preset evaluation parameter value may include parameter values corresponding to other parameters. For example, the types of parameters corresponding to the brain blood oxygen related trend are rSO2-1 and rSO2-2, and the brain blood oxygen related parameter values include, but are not limited to, rSO2-1, rSO2-2, AUC, etc. Where auc (area Under cut) is defined as the area enclosed by the coordinate axis (time axis) Under the ROC curve. In this embodiment, AUC is the area of a closed region 3421 defined by the brain blood oxygen trend curve and the brain blood oxygen threshold baseline. Specifically, the area value obtained by micro-integrating the area below the brain blood oxygen trend curve (i.e., the area of the closed region 3421). The type of the parameter corresponding to the preset evaluation parameter value is at least partially the same as the parameter corresponding to the real-time parameter value.
For example, in some embodiments, the preset evaluation parameter value corresponds to the same parameter type as the parameter corresponding to the real-time parameter value. The parameter type corresponding to the cerebrovascular regulation related trend is EtCO2 trend. The parameters corresponding to the values of the evaluation parameters related to the cerebrovascular regulation comprise EtCO2, and the parameters corresponding to the values of the real-time parameters related to the cerebrovascular regulation also comprise EtCO 2.
For another example, the parameter type corresponding to the preset evaluation parameter value is different from the parameter corresponding to the real-time parameter value. Each EEG signal comprises 10 values, the preset evaluation parameter values may correspond to 2 parameters, EEG1-SR and EEG1-SEF, respectively, and the real-time parameter values may correspond to 10 parameters, EEG1-SR, EEG1-SEF, EEG1-MF, EEG1-PPF, EEG1-TP, EEG1-EMG, respectively. In some embodiments, the real-time parameter values may also correspond to 8 parameters, i.e., may not include EEG1-SR and EEG 1-SEF.
In some embodiments, the displaying the virtual human body model in the image display area specifically includes:
displaying the virtual human body model in the image display area, and displaying specific evaluation parameter values in an area outside the virtual human body model, wherein the preset evaluation parameter values at least comprise the specific evaluation parameter values.
Wherein the specific evaluation parameter value is a part of the preset evaluation parameter values. The specific evaluation parameter value refers to monitoring data for evaluating a state of a monitoring site of a patient. In the present example, the specific evaluation parameter values include, but are not limited to, ICP, MAP, CPP, rSO2-1, rSO2-2, EtCo 2. For example, a health care worker may infer brain oxygen supply/consumption balance based on changes in rSO2 values, and perform manual intervention to reduce intraoperative or postoperative physiological system complications.
The specific evaluation parameter value is adjacent to the display position corresponding to the monitoring part, or the specific evaluation parameter value is connected with the monitoring part through a guiding line.
The display method further comprises:
when the specific evaluation parameter value is determined to meet the preset condition, the specific evaluation parameter value is displayed in a first preset display style, and when the specific evaluation parameter value does not meet the preset condition, the specific evaluation parameter value is displayed in a second preset display style, wherein the first preset display style is different from the second preset display style, and the first preset display style and the second preset display style comprise at least one of color, font style, font size, font style, font effect, font background color or transparency of the specific evaluation parameter value.
The display method further comprises the following steps: determining that the particular evaluation parameter value does not satisfy the preset condition.
Wherein the determining that the specific evaluation parameter value does not satisfy the preset condition specifically includes:
when the specific evaluation parameter value exceeds a preset normal threshold range, determining that the specific evaluation parameter value does not meet the preset condition; alternatively, the first and second electrodes may be,
when the specific evaluation parameter value is in a descending trend or an ascending trend compared with the parameter value of the previous historical monitoring point, determining that the specific evaluation parameter value does not meet the preset condition; alternatively, the first and second electrodes may be,
and when the change amplitude of the specific evaluation parameter value compared with the parameter value of the previous historical monitoring point meets a preset amplitude, determining that the specific evaluation parameter value does not meet the preset condition.
As shown in fig. 4, for example, when the value corresponding to rSO2-2 in the specific evaluation parameter value is 60, and the value of rSO2-2 is unchanged from the parameter value of the previous historical monitoring point, the specific evaluation parameter value is displayed according to the first predetermined display pattern, i.e., rSO2-2 is normally displayed without setting the background color. In other embodiments, if the value corresponding to rSO2-2 in the specific evaluation parameter value is 50, and the value of rSO2-2 is in a downward trend compared with the parameter value of the previous historical monitoring point, the specific evaluation parameter value may be displayed in the second predetermined display pattern, i.e., the rSO2-2 is thickened and a background color is set. In this way, the medical staff can determine whether the specific evaluation parameter value exceeds the normal threshold range based on the display style of the specific evaluation parameter value, so that the medical staff can diagnose and infer the state of the monitored part of the patient.
The display method further comprises the following steps:
when the specific evaluation parameter value is determined to meet the preset condition, a target monitoring part associated with the specific evaluation parameter value meeting the preset condition is determined from the virtual human body model, and the target monitoring part is highlighted.
In this embodiment, the highlighting includes one or more of highlighting, flashing, changing color, adding a reminder, changing transparency, changing background color, changing font, and enlarging size of the target monitoring region. The target monitoring part is the position corresponding to the monitoring part of the patient where the sensor 10 is attached. For example, the rSO2 sensor is attached to the forehead of the patient, and therefore, when the detected value of rSO2 decreases, it indicates that there is a decrease in blood oxygen saturation at the location where the rSO2 sensor is attached to the forehead, and the decrease in blood oxygen content of the brain can be indirectly represented by the value of rSO 2. In other embodiments, the target monitoring site may also refer to the monitoring site of the characterization of the target-specific evaluation parameter.
As shown in fig. 5 and fig. 6, when the left brain electroencephalogram double-frequency index (BIS-L), rSO2-R, ICP, CPP, MAP, and EEG-1 are all abnormal, for example, the BIS-L value is in an upward trend, the rSO2-R value is in a downward trend, the ICP is in an upward trend, both CPP and MAP are in a downward trend, and the EEG-1 value is out of the normal value range, the position corresponding to the forehead of the patient in the virtual human body model is highlighted and added with a BIS mark and an rSO2 mark, the blood vessels in the virtual human body model are thickened, and the position corresponding to the back brain of the patient in the virtual human body model is highlighted and added with an EEG-1 mark.
For example, when the EEG values are abnormal, such as abnormal EEG impedance, the EEG parameters have large variation and the EEG parameters have a random trend, which indicates that the connection of the EEG sensor is abnormal or unstable, so that the medical staff needs to readjust the fixed connection of the EEG sensor to make the EEG parameters and the EEG parameters trend normal. Therefore, the target monitoring part is highlighted, so that medical care can quickly and intuitively know the state of the patient monitoring part from the virtual human body model, corresponding manual intervention can be performed, and the working efficiency of medical care personnel is improved.
The virtual human body model can rotate within a preset angle range to display the target monitoring position. Referring to fig. 5 and fig. 6 together, fig. 6 is an interface diagram of a monitoring interface displayed by a monitoring device in response to a rotation operation for a virtual human body model in the monitoring interface according to an embodiment of the present invention. For example, the virtual phantom shown in fig. 5 presents monitoring sites corresponding to the forebrain portion. The user can rotate the virtual human body model in the monitoring interface 301, so that the monitoring device 100 can display the virtual human body model in different angular orientations, thereby realizing monitoring and management for different monitoring parts. For example, the virtual phantom shown in fig. 6 presents monitoring sites corresponding to the hindbrain portion. As shown in fig. 6, when the monitored EEG-1 data meets the preset condition, that is, the EEG-1 signal is abnormal, the monitoring part is highlighted graphically on the corresponding back brain part of the virtual human body model, so that the medical care can quickly and intuitively know the state of the monitoring part of the patient and/or the abnormal placement state of the EEG sensor from the virtual human body model to perform corresponding manual intervention, thereby improving the work efficiency of the medical care personnel.
In this embodiment, the preset angle range is 0 to 180 degrees in both the horizontal direction and/or the vertical direction. It can be understood that, because the brain protection monitoring is mainly performed on the areas corresponding to the left and right sides of the forehead, the forehead of the hindbrain, the top of the brain and the occipital lobe of the patient, the state of the target monitoring part of the patient can be sufficiently observed in the process that the virtual human body model rotates 180 degrees, and therefore, a user can conveniently and rapidly rotate to the target monitoring part. In some embodiments, the preset angle range may also be 0 to 360 degrees in both the horizontal direction and/or the vertical direction, so that the user can view the state of the target monitoring site of the patient in all directions.
The display method further comprises the following steps:
rotating the virtual human body model to display different monitoring positions in the virtual human body model in response to a third operation on the virtual human body model.
The third operation may be, but is not limited to, at least one of a single click, a long press, a double click, a slide, a toggle, a preset slide track, and a multi-touch. For example, when a single finger or two fingers touch the virtual human body model and slide to one side, the virtual human body model rotates along the first direction; when a single finger or double fingers touch the boundary of the virtual human body model and slide to the other side, the virtual human body model rotates along the second direction, wherein the first direction is opposite to the second direction, the first direction can be a clockwise direction, and the second direction is a counterclockwise direction; or, the first direction may be a counterclockwise direction, and the second direction is a clockwise direction, so that the opportunity of rotating the virtual human body model is provided for the user, and the interaction experience of the user is improved.
In some embodiments, the responding to the third operation on the virtual human body model specifically includes: responding to a third operation aiming at the preset position of the virtual human body model. Wherein the preset position is, for example, a center position of the virtual human body model, an edge position of the virtual human body model, and the like.
In some embodiments, in response to a third operation on the virtual human body model, rotating the virtual human body model to display different monitoring sites in the virtual human body model specifically includes:
controlling to display a spin control icon in response to a third operation on the virtual human body model;
and rotating the virtual human body model to display different monitoring positions in the virtual human body model in response to the fourth operation on the rotation control icon.
Specifically, the rotating the virtual human body model in response to the fourth operation on the spin control icon to display different monitoring portions in the virtual human body model specifically includes:
responding to a fourth operation on the spin control icon, and acquiring a fourth operation parameter corresponding to the fourth operation;
determining a rotation angle for the virtual human body model according to the fourth operation parameter;
and rotating the virtual human body model according to the rotation angle so as to display different monitoring positions in the virtual human body model.
Wherein the fourth operation may be, but is not limited to, at least one of a click, a slide, a swipe, and a gesture.
In some other embodiments, in response to a third operation on the virtual human body model, rotating the virtual human body model to display different monitoring sites in the virtual human body model specifically includes:
controlling to display an input frame for inputting a rotation angle in response to a third operation on the virtual human body model;
and responding to the input operation of the input frame, and rotating the virtual human body model according to the input value corresponding to the input operation so as to display different monitoring parts in the virtual human body model.
The display method further comprises the following steps:
when the preset evaluation parameter value is larger than a first threshold value, displaying a first identifier behind the preset evaluation parameter value, wherein the first identifier is used for indicating that the preset evaluation parameter value is higher than a normal value;
when the preset evaluation parameter value is smaller than a second threshold value, displaying a second identifier behind the preset evaluation parameter value, wherein the first identifier is used for indicating that the preset evaluation parameter value is lower than the normal value, and the first identifier is different from the second identifier;
and when the preset evaluation parameter value is less than or equal to the first threshold and greater than or equal to the second threshold, displaying a third identifier or not displaying any identifier behind the preset evaluation parameter value, wherein the third identifier is used for indicating that the preset evaluation parameter value is equal to the normal value, and the third identifier is different from the first identifier and the second identifier.
In this embodiment, when the preset evaluation parameter value is less than or equal to the first threshold and greater than or equal to the second threshold, no mark is displayed behind the preset evaluation parameter value. The first mark is an upward arrow, and the second mark is a downward arrow. In some embodiments, the third identifier may be a horizontal arrow. Therefore, the user can quickly observe the abnormal parameter value, and a doctor can conveniently diagnose the illness state of the patient.
In some embodiments, the area outside of the parameter trend curve region 342 includes at least one numerical display region 3461, which corresponds to the at least one trend display region; the display method further comprises the following steps:
determining the parameter type corresponding to the parameter trend curve;
and displaying the evaluation parameter values of the same parameter type in the same value display area, and displaying the evaluation parameter values of different parameter types in different value display areas respectively.
Referring to fig. 4 again, in the present embodiment, the at least one value display area 3461 includes four value display areas. The four numerical value display areas respectively display cerebral blood flow related numerical values, cerebral blood oxygen related numerical values, electroencephalogram related numerical values and cerebral blood vessel regulation related numerical values. The cerebral blood flow related values include MAP, CPP, ICP and the like. The cerebral blood oxygen related values comprise values of rSO2-1, rSO2-2 and the like, and the cerebral electrical related values comprise values of SEF, SR, MF, PPT, TP, EMG and the like. The relevant value of cerebrovascular regulation comprises the values of EtCO2 and the like. It should be noted that the numerical type of the trend parameter value can be distinguished according to the corresponding monitoring data obtained by a sensor or a special instrument; alternatively, the monitoring site may be divided, for example. The type and number of the trend parameter values may be customized according to a user, or may be set by default when the monitoring device 100 leaves a factory, which is not specifically limited in the present invention. For example, the preset evaluation parameter value may include only MAP and CPP in the cerebral blood flow related value, or may not include the cerebral blood flow related value. In other embodiments, the window interface 340 further includes a setting item 3413, and in response to a trigger operation for the setting item 3413, the window interface controls a display of a property setting interface, and a parameter such as a numerical type of the numerical value of the trend parameter can be set through the property setting interface.
The display method further comprises the following steps:
and a second title corresponding to the parameter type is displayed in each numerical value display area, wherein the first title is the same as the second title.
The second title displayed in the numerical value display area corresponding to the cerebral blood flow related numerical value is, for example, but not limited to, "cerebral blood flow", "cerebral blood flow related numerical value", and the like. The second title displayed in the value display area corresponding to the cerebral blood oxygen related value is, for example, but not limited to, "cerebral blood oxygen", "cerebral blood oxygen related value", and the like. The second title displayed in the numerical display area corresponding to the electroencephalogram related numerical value is, for example, but not limited to, "electroencephalogram", "electroencephalogram related numerical value", and the like. The second title displayed in the value display area corresponding to the cerebrovascular regulation related value is, for example, but not limited to, "cerebrovascular regulation", "cerebrovascular responsiveness", "cerebrovascular regulation related value", and the like. In some embodiments, the first title and the second title may also be different.
Optionally, the parameter types corresponding to the evaluation parameter values displayed in the at least one value display area 3461 and the trend types corresponding to the parameter trends displayed in the at least one trend display area 3421 are arranged in the same order. Therefore, the first title and the second title are arranged from top to bottom according to the attention of the user, the common observation habit of the user is met, the user can conveniently check the first title and the second title, and the time of medical staff is greatly saved.
In some embodiments, the display method further comprises:
displaying a virtual human body model associated with the trend type according to the trend type corresponding to the parameter trend curve; wherein the virtual human body model comprises at least one of an organ image, a human body system image and a human body whole body image, and the organ image comprises at least one of a human body head image, a human body heart image and a human body lung image; the body system image includes at least one of a nervous system image, a circulatory system image, a respiratory system image, a digestive system image, a urinary system image, a reproductive system image, an endocrine system image, and a motion system image.
For example, Fallo Tetrad (TOF) is a common congenital heart malformation. In particular, TOF is a disease in which abnormalities in both the heart and lungs are caused by abnormalities in the vascular structure of the heart. For patients like this, the monitoring device 100 can monitor the heart and lungs of the patient in a directional manner, that is, the "cardioprotection" interface and the "lung protection" interface can be displayed simultaneously on the monitoring interface 301 of the monitoring device 100, so that medical personnel can jointly pay attention to the change conditions of the heart and lungs, that is, the medical personnel can know the heart related monitoring data and the lung related monitoring data simultaneously, thereby facilitating the medical personnel to comprehensively diagnose and treat the patient and strive for the treatment time to the maximum extent.
Specifically, in some embodiments, the monitoring interface 301 of the monitoring facility 100 may simultaneously display a plurality of window interfaces for respectively displaying different monitoring evaluation images. For example, the monitoring interface 301 of the monitoring facility 100 may include a cardioprotective window interface in which heart related monitoring assessment data is displayed and a pulmonary protection window interface in which lung related monitoring assessment data is displayed. In other embodiments, the monitoring interface 301 of the monitoring facility 100 displays only one window interface and displays different monitoring assessment images within the window interface, e.g., both the heart related monitoring assessment data and the lung related monitoring assessment data are displayed within the same window interface.
In this embodiment, the virtual human body model is the human head image; the trend type corresponding to the parameter trend curve comprises a cerebral blood flow related parameter trend curve, an electroencephalogram related parameter trend curve, a cerebral oxygen saturation related parameter trend curve and a cerebrovascular reactivity related parameter trend curve; the parameter types corresponding to the parameter trend curve comprise cerebral blood flow related parameters, electroencephalogram related parameters, cerebral oxygen saturation related parameters and cerebrovascular reactivity related parameters.
In some embodiments, the second display area 34 displays setting items 3413, and the display method further includes:
receiving an editing request aiming at the setting item, and generating editing operation information corresponding to the editing request;
and updating the content in the parameter trend curve, the virtual human body model and/or the preset evaluation parameter numerical value according to the editing operation information.
Wherein, the display method further comprises:
responding to the trigger operation aiming at the setting item 3413, and controlling and displaying a property setting interface, wherein the property setting interface displays a parameter trend curve option, a virtual human body model option and an evaluation parameter option;
receiving an editing request aiming at the parameter trend curve option, the virtual human body model option and/or the evaluation parameter option, and generating editing operation information corresponding to the editing request;
and updating the content in the parameter trend curve, the virtual human body model and/or the preset evaluation parameter numerical value according to the editing operation information.
The attribute setting interface displays a parameter trend curve option, a virtual human body model option and an evaluation parameter option, so that a user can respectively select the interested parameter trend curve, the virtual human body model and the category corresponding to the evaluation parameter, the reading efficiency of the brain protection related monitoring data is improved, the information content displayed by the monitoring interface 301 can be flexibly adjusted, the interactive experience of the user is improved, the user can conveniently check the information content, and the time of medical care personnel for diagnosing the state of an illness is greatly saved.
The embodiment of the invention provides a method for displaying monitoring data, which is characterized in that based on a first preset operation aiming at a monitoring interface, a real-time monitoring image is displayed in a first display area of the monitoring interface, and a monitoring evaluation image is displayed in a second display area of the monitoring interface, so that the monitoring interface can display the monitoring data monitored in real time and the change trend of part or all monitoring data interested by medical staff on the same screen, and can display the presentation of relevant changes between preset evaluation parameter values corresponding to a certain monitoring point, so that the medical staff can quickly browse the whole condition of the monitoring data of a patient, the browsing operation is simple, the time consumption is less, the change of the patient condition can be found more timely, and the risk of delaying the patient condition is reduced. In addition, according to the preset evaluation parameter value, the monitoring part is graphically displayed on the monitoring interface of the monitoring equipment, so that the medical staff can quickly and effectively evaluate or diagnose the disease of the patient.
Please refer to fig. 7, which is a flowchart illustrating a method for reviewing monitoring data according to an embodiment of the present application. As shown in fig. 7, the method for reviewing monitoring data is applied to the medical central station system 1000. Specifically, the method for reviewing monitoring data can be applied to the monitoring device 100 alone, the third-party device 300 alone, and both the monitoring device 100 and the third-party device 300. In the present embodiment, the method for reviewing the monitoring data is applied to the monitoring device 100 as an example. The monitoring device 100 displays a monitoring interface, and the method for displaying the monitoring data includes the following steps.
Step S701, a monitoring interface is displayed.
Specifically, reference may be made to step S201 of the method in the embodiment in fig. 2, which is not described herein again.
Step S703, acquiring monitoring data, where the monitoring data includes parameter values of multiple parameters, and the parameter values of the multiple parameters include real-time parameter values and historical parameter values.
Specifically, reference may be made to step S203 of the method in the embodiment in fig. 2, which is not described herein again.
Step S705, displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface according to the monitoring data, wherein the real-time monitoring image is used for presenting the real-time parameter values and/or real-time parameter waveforms, the monitoring evaluation image is used for presenting the parameter trend curves and the virtual human body models of the various parameters, and optionally is also used for presenting preset evaluation parameter values of the various parameters; the virtual human body model is used for graphically displaying the monitoring part and the monitoring part according to the parameter values or the parameter trend curves of the various parameters.
Specifically, reference may be made to step S205 of the method in the embodiment in fig. 2, which is not described herein again.
Step S707, determining a target parameter value corresponding to the target monitoring point in response to a review operation for any target monitoring point on the parameter trend curve.
In some embodiments, a trend graph control 3417 is displayed in the parameter trend curve area 342, and the determining the target parameter value corresponding to the target monitoring point in response to the operation of reviewing the target monitoring point on the parameter trend curve specifically includes:
displaying the trend graph control at the position of a target monitoring point in response to a retrospective operation aiming at the target monitoring point on the parameter trend curve;
acquiring the corresponding selected time of the trend graph control on the two-dimensional coordinate graph;
and determining a target parameter value corresponding to the parameter trend curve at the selected time according to the selected time.
Wherein the trend graph control 3417 is located within the two-dimensional coordinate graph. Trend graph control 3417 includes, but is not limited to, at least one of an active cursor and an active reticle. In this embodiment, the trend graph control 3417 is the active reticle, and the active reticle is perpendicular to the time axis. The review operation is, for example, a click operation, a long press operation, a slide operation, or the like.
In some embodiments, the review method further comprises:
responding to a retrospective operation aiming at any historical monitoring point on the parameter trend curve, and popping up and displaying the trend graph control;
responding to the moving operation aiming at the trend graph control, and moving the trend graph control to a position corresponding to a target monitoring point on the parameter trend curve;
acquiring the corresponding selected time of the trend chart control on the two-dimensional coordinate chart according to the current position of the trend chart control;
and determining a target parameter value corresponding to the parameter trend curve at the selected time according to the selected time.
Thus, after calling out the trend graph control 3417, the user may continue to operate the trend graph control 3417 to fine-tune the trend graph control 3417 so as to move the trend graph control 3417 to a position corresponding to a target monitoring point on the parameter trend curve, so that the medical staff flexibly controls the trend graph control 3417, and can review multiple sets of monitoring data corresponding to any target monitoring point on the parameter trend curve, and the browsing operation is simple and consumes less time, so that changes in an illness can be discovered more timely, and risks of delaying the illness can be reduced.
In some other embodiments, the determining, in response to the operation of reviewing the target monitoring points on the parameter trend curve, the target parameter values corresponding to the target monitoring points specifically includes:
moving the trend graph control from a first position of the two-dimensional graph to a second position of the two-dimensional graph, wherein the first position of the two-dimensional graph is represented as a position corresponding to a latest monitoring point within the preset second display time length, and the second position of the two-dimensional graph is a position corresponding to the target monitoring point;
acquiring the corresponding selected time of the trend graph control on the two-dimensional coordinate graph;
and determining a target parameter value corresponding to the parameter trend curve at the selected time according to the selected time.
In this embodiment, before responding to the review operation for the target monitoring point on the parameter trend curve, the trend graph control 3417 is located at the rightmost side of the two-dimensional coordinate graph, that is, at the position corresponding to the latest monitoring point within the preset second display time period, where the selected time of the trend graph control 3417 on the two-dimensional coordinate graph is the time point corresponding to the real-time parameter value. As time goes on, the parameter trend curve goes from right to left, so that the parameter trend curve displays a trend corresponding to the preset second display time length in the parameter trend curve area 342. For example, when the preset second display time duration is 2 hours, the parameter trend curve 2 hours before the current time is displayed in the parameter trend curve area 342.
In some embodiments, prior to said moving said trend graph control from said first position of said two-dimensional graph to said second position of said two-dimensional graph, said reviewing method further comprises:
and responding to preset operation aiming at the two-dimensional coordinate graph, and displaying the trend graph control at a first position of the two-dimensional coordinate graph.
The preset operation is, for example, but not limited to, at least one of a single click, a long press, a double click, a slide, a jog, a preset slide trajectory, and a multi-touch. The preset operation refers to an operation input in a preset area of the two-dimensional coordinate graph; alternatively, the operation parameter conforms to a preset rule, for example, an operation for a long time to reach a preset time, an operation for a pressure greater than a preset pressure threshold, or the like. In this embodiment, before the target parameter value corresponding to the target monitoring point is determined in response to the operation of reviewing the target monitoring point on the parameter trend curve, the trend graph control 3417 is hidden and not displayed in the two-dimensional coordinate graph, so that the display content of the monitoring interface is more concise.
In some embodiments, the trend graph control 3417 may be always displayed in the two-dimensional coordinate graph, i.e., the method step of displaying the trend graph control at the first position of the two-dimensional coordinate graph may be omitted in response to the preset operation on the two-dimensional coordinate graph.
Referring to fig. 8 and 9 together, fig. 8 is an interface diagram of a monitoring interface displayed by a monitoring device in response to a review operation for any target monitoring point on a parameter trend curve according to an embodiment of the present invention, and fig. 9 is an enlarged schematic view of a window interface in the monitoring interface in fig. 8. As shown in fig. 8 and 9, the trend graph control 3417 is moved from the first position to the second position, that is, the trend graph control 3417 is moved to the position corresponding to the target monitoring point on the parameter trend curve, at this time, the value of rSO2-2 is 50, at this time, the value of rSO2-2 is in a downward trend compared with the parameter value of the previous historical monitoring point, rSO2-2 is displayed in a bold manner and is set to be a background color, the position of the monitoring portion corresponding to the forehead of the patient in the virtual human body model is highlighted, and a guiding line is added between the monitoring portion and the evaluation parameter rSO 2. Therefore, the abnormal parameter value is highlighted on the corresponding monitoring part according to the preset rule, so that medical staff can quickly determine whether the specific evaluation parameter value is abnormal and whether the sensor attaching position or the connection is abnormal based on the display style of the specific evaluation parameter value and/or the highlighted mark of the monitoring part, the medical staff can conveniently perform manual intervention, and diagnosis and conjecture of the state of the monitoring part of the patient are facilitated.
In this embodiment, the reviewing method further includes:
and when the trend graph control is detected to be positioned at the first position, displaying the latest parameter numerical value corresponding to the latest monitoring point on the parameter trend curve in an area outside the parameter trend curve area.
And when the trend graph control is detected to be located at the first position, displaying the latest parameter value corresponding to the latest monitoring point on the parameter trend curve in the area outside the parameter trend curve area, namely displaying the evaluation parameter value in the area outside the parameter trend curve area as the latest parameter value. In some embodiments, the updated parameter values may be real-time parameter values. Thus, the medical staff can monitor the state of the monitoring part of the patient in real time, so that the medical staff can quickly and effectively assess or diagnose the disease of the patient.
In some embodiments, the review method further comprises:
when the trend graph control is detected to move to a third position of the two-dimensional coordinate graph, outputting prompt information, wherein the third position is a position corresponding to the earliest monitoring point in the preset second display time length; or
When the trend graph control is detected to move to a third position, outputting a historical parameter trend curve outside the preset second display time length, and covering a part or all of the current parameter trend curve within the preset second display time length; or
And when the trend chart control is detected to move to a third position, controlling the trend chart control to be displayed at the first position again.
It is to be understood that when the trend chart control 3417 moves to the leftmost side of the two-dimensional coordinate chart, the trend chart control 3417 is moved to the third position, that is, the trend chart control 3417 has moved to the position corresponding to the earliest monitoring point within the preset second display time length. In an embodiment, the monitoring device 100 controls to output the prompt message when detecting that the trend graph control 3417 moves to the third position, for example, the prompt message may be a time length for reminding the user to reset the preset second display time length so as to view data of more compression trends. Such as, but not limited to, sound, light signals, text information, graphical information, or vibrations. Therefore, effective prompts can be given under various different scenes, and user experience is improved.
In another embodiment, the monitoring device 100 controls to output the historical parameter trend curve outside the preset second display time duration and cover a part or all of the current parameter trend curve within the preset second display time duration when detecting that the trend graph control 3417 moves to the third position. Therefore, the user can directly view the historical parameter trend curve outside the current parameter trend curve in the preset second display time length, the operation is simple, and the interpretation efficiency of the medical staff to the current parameter trend curve and the historical parameter trend curve is improved.
In another embodiment, the monitoring apparatus 100 controls the trend graph control to resume being displayed in the first position when detecting that the trend graph control 3417 moves to the third position. Therefore, the user can conveniently execute the next retrospective operation aiming at any target monitoring point on the parameter trend curve, the phenomenon of blocking of the monitoring interface 301 caused by the fact that the trend graph control 3417 is located at the third position for a long time is avoided, and the user experience is improved.
Step S709, updating and displaying the virtual human body model and the optional preset evaluation parameter value according to the target parameter value.
The updating and displaying of the virtual human body model and the optional preset evaluation parameter value according to the target parameter value specifically includes:
according to the target parameter value, graphically displaying a target monitoring part associated with the target parameter value on the virtual human body model;
optionally, the target parameter value is used as the preset evaluation parameter value, and the preset evaluation parameter value is displayed in an area outside the parameter trend curve area.
A second region 324 of the monitor interface 301 displays real-time parameter values for each of the parameters, for example, the real-time parameter ICP has a value of 8.5mmHg, the real-time parameter CPP has a value of 84mmHg, the real-time parameters rSO2-1 and rSO2-2 each have a value of 80mmHg, and the real-time parameter EtCO2 has a value of 30 rpm. The area outside the parameter trend curve area 342 shows the target parameter values corresponding to the target parameters, for example, the value of the target parameter ICP is 10mmHg, the value of the target parameter CPP is 70mmHg, the value of the target parameter MAP is 70mmHg, the values of the target parameters rSO2-1 and rSO2-2 are 60mmHg and 50mmHg, respectively, and the value of the target parameter EtCO2 is 25 rpm.
As the value of the target parameter rSO2-2 is in a descending trend compared with the parameter value of the previous historical monitoring point, the value of the target parameter rSO2-2 meets the preset condition, at the moment, the position, corresponding to the monitoring part of the forehead of the patient, in the virtual human body model is highlighted, a guiding line is added between the monitoring part and the evaluation parameter rSO2, and the value of the target parameter rSO2-2 is displayed according to the second preset display mode, namely the value of the target parameter rSO2-2 is displayed in a bold mode, and the background color is set. Therefore, medical staff can quickly determine whether the specific evaluation parameter value is abnormal and whether the sensor attaching position or the connection is abnormal based on the display style of the specific evaluation parameter value and/or the highlighted mark of the monitoring part, so that the medical staff can conveniently perform manual intervention and conveniently diagnose and guess the state of the monitoring part of the patient.
The embodiment of the invention provides a monitoring data reviewing method, which is applied to the medical central station system or the monitoring equipment, wherein the medical central station system or the monitoring equipment displays a monitoring interface. The review method comprises the following steps: acquiring monitored monitoring data in a preset time period, wherein the monitoring data comprises parameter values of various parameters, and the parameter values of the various parameters comprise real-time parameter values and historical parameter values; displaying a real-time monitoring image and a monitoring evaluation image on a monitoring interface of the monitoring equipment according to the monitoring data, wherein the real-time monitoring image is used for presenting the real-time parameter values and the real-time parameter waveforms, and the monitoring evaluation image is used for presenting the parameter trend curves of the various parameters, the virtual human body model and preset evaluation parameter values; the display time length of the parameter trend curve is longer than that of the real-time parameter waveform; the virtual human body model is used for graphically displaying the monitoring part according to the preset evaluation parameter value; the preset evaluation parameter value is the real-time parameter value; or, the historical parameter value; responding to a retrospective operation aiming at any target monitoring point on the parameter trend curve, and determining a target parameter value corresponding to the target monitoring point; and updating and displaying the virtual human body model and the optional preset evaluation parameter value according to the target parameter value.
Therefore, based on the fact that the real-time monitoring image and the monitoring evaluation image are simultaneously displayed on the monitoring interface of the monitoring equipment, medical staff can quickly browse historical monitoring data and diagnose and guess the state of an illness of a patient by combining the real-time monitoring data. Furthermore, the user can review the multiple groups of monitoring data corresponding to any target monitoring point on the parameter trend curve, the browsing operation is simple, the consumed time is short, the change of the state of an illness can be found more timely, and the risk of delaying the state of the illness is reduced. In addition, on the monitoring interface of the monitoring equipment, the monitoring part and the optional preset evaluation parameter value can be updated and displayed based on the reviewed historical monitoring data in an imaging mode, so that fixed-point observation and management of the monitoring part can be achieved, and relevant changes among the monitoring data corresponding to any monitoring point can be presented in a centralized mode, so that the interpretation efficiency of medical personnel on the relevant monitoring data is improved.
An embodiment of the present invention further provides a computer storage medium, where the computer storage medium may store a program, and the program includes, when executed, some or all of the steps of any one of the method for displaying monitoring data and the method for reviewing monitoring data described in the above method embodiments.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the related descriptions of other embodiments.
It should be noted that for simplicity of description, the above-mentioned method embodiments are described as a series of acts, but those skilled in the art should understand that the present invention is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative. The display method of the monitoring data and the review method of the monitoring data are realized in the form of software functional units and can be stored in a computer readable storage medium when being sold or used as independent products. Based on such understanding, the technical solution of the present invention essentially or partially contributing to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc., and can be specifically a processor in the computer device) to execute all or part of the steps of the above-mentioned method for displaying monitoring data and the method for reviewing monitoring data of the various embodiments of the present invention. The storage medium may include: various media capable of storing programs, such as a usb disk, a removable hard disk, a magnetic disk, an optical disk, a Read-Only Memory (ROM) or a Random Access Memory (RAM).
The above embodiments of the present invention are described in detail, and the principle and the implementation of the present invention are explained by applying specific embodiments, and the above description of the embodiments is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in view of the above, the content of the present specification should not be construed as a limitation to the present invention.
Claims (54)
1. A monitoring device for monitoring a physiological state of a patient, comprising a sensor, a display and a processor,
the sensor is used for acquiring monitoring data of the patient, the monitoring data comprises parameter values of various parameters, and the parameter values of the various parameters comprise real-time parameter values and historical parameter values;
the display is used for displaying a monitoring interface;
the processor is configured to:
acquiring the monitoring data from the sensor;
displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface according to the monitoring data, wherein the real-time monitoring image is used for presenting the real-time parameter values and/or real-time parameter waveforms, the monitoring evaluation image is used for presenting parameter trend curves and virtual human body models of the various parameters, and optionally is also used for presenting preset evaluation parameter values of the various parameters; the virtual human body model is used for graphically displaying the monitoring part according to the parameter values or the parameter trend curves of the multiple parameters;
responding to a retrospective operation aiming at any target monitoring point on the parameter trend curve, and determining a target parameter value corresponding to the target monitoring point;
and updating and displaying the virtual human body model and the optional preset evaluation parameter value according to the target parameter value.
2. The monitoring device of claim 1, wherein the processor is further configured to:
displaying the real-time monitoring image in a first display area of the monitoring interface according to monitoring data within a preset first display time length;
and displaying the monitoring evaluation image in a second display area of the monitoring interface according to monitoring data within a preset second display time length, wherein the real-time monitoring image and the monitoring evaluation image are not overlapped, or partially overlapped, or completely overlapped.
3. The monitoring device of claim 2, wherein the second display area comprises a parameter trend curve area, and the processor displays the monitoring evaluation image in the second display area of the monitoring interface according to the monitoring data within a second preset display time period, specifically comprising:
and displaying the parameter trend curve in the parameter trend curve area according to the monitoring data in the preset second display time length, and displaying the virtual human body model and the optional preset evaluation parameter value in an area outside the parameter trend curve area.
4. The monitoring device of claim 3, wherein the processor displays the parameter trend curve in the parameter trend curve area according to the monitoring data within a preset second display time period, and specifically comprises:
constructing a two-dimensional coordinate graph in the parameter trend curve area, wherein a horizontal axis of the two-dimensional coordinate graph is a time axis, a vertical axis of the two-dimensional coordinate graph is a parameter axis, the time axis represents recording time corresponding to all monitoring points at each acquisition time within the preset second display time length, and the parameter axis represents parameter values corresponding to all monitoring points at each acquisition time within the preset second display time length;
and mapping the recording time and the parameter value into the two-dimensional coordinate graph so as to display the parameter trend curve in the two-dimensional coordinate graph, wherein the parameter trend curve is arranged along the direction parallel to the time axis.
5. The monitoring device of claim 4, wherein the two-dimensional coordinate graph includes a trend graph control, and the processor determines the target parameter value corresponding to the target monitoring point in response to a review operation for the target monitoring point on the parameter trend curve, including:
displaying the trend graph control at the position of a target monitoring point in response to a retrospective operation aiming at the target monitoring point on the parameter trend curve;
acquiring the corresponding selected time of the trend graph control on the two-dimensional coordinate graph;
determining a target parameter value corresponding to the parameter trend curve at the selected time according to the selected time;
or
Moving the trend graph control from a first position of the two-dimensional graph to a second position of the two-dimensional graph, wherein the first position of the two-dimensional graph is represented as a position corresponding to a latest monitoring point within the preset second display time length, and the second position of the two-dimensional graph is a position corresponding to the target monitoring point;
obtaining the corresponding selected time of the trend graph control on the two-dimensional coordinate graph after movement;
and determining a target parameter value corresponding to the parameter trend curve at the selected time according to the selected time.
6. The monitoring device of claim 5, further comprising, prior to the moving the trend graph control from the first position of the two-dimensional graph to the second position of the two-dimensional graph:
the processor is used for responding to preset operation aiming at the two-dimensional coordinate graph and displaying the trend graph control at a first position of the two-dimensional coordinate graph.
7. The monitoring device of claim 6, wherein the processor is further configured to:
and when the trend graph control is detected to be positioned at the first position, displaying the latest parameter numerical value corresponding to the latest monitoring point on the parameter trend curve in an area outside the parameter trend curve area.
8. The monitoring device of claim 6, wherein the processor is further configured to:
when the trend graph control is detected to move to the third position of the two-dimensional coordinate graph, outputting prompt information; or
When the trend graph control is detected to move to a third position, outputting a historical parameter trend curve outside the preset second display time length, and covering a part or all of the current parameter trend curve within the preset second display time length; or
When the trend chart control is detected to move to a third position, controlling the trend chart control to be displayed at the first position again;
and the third position is a position corresponding to the earliest monitoring point in the preset second display time length.
9. The monitoring device of claim 5, wherein the trend graph control includes at least one of an active cursor and an active reticle, the active reticle being perpendicular to the time axis.
10. The monitoring device of claim 2, wherein a time control is displayed in the second display area, and the processor displays the parameter trend curve in the parameter trend curve area according to the monitoring data within a preset second display time period, specifically comprising:
when the time control is detected to receive a time selection instruction, determining a target display time length, and taking the target display time length as the preset second display time length;
and displaying the parameter trend curve in the parameter trend curve area according to the monitoring data within a preset second display time length.
11. The monitoring device of claim 10, wherein the processor displays the parameter trend curve in the parameter trend curve area according to the monitoring data within a preset second display time period, and specifically comprises:
and displaying the parameter trend curve in the parameter trend curve area according to the monitoring data in the second display time length before the current moment.
12. The monitoring device of claim 1, wherein the processor updates and displays the virtual human body model and the optional preset evaluation parameter value according to the target parameter value, and specifically comprises:
according to the target parameter value, graphically displaying a target monitoring part associated with the target parameter value on the virtual human body model;
optionally, the target parameter value is used as the preset evaluation parameter value, and the preset evaluation parameter value is displayed in an area outside the parameter trend curve area.
13. The monitoring device of claim 3, wherein the second display area further comprises an image display area adjacent to the parameter trend curve area, and the processor displays the virtual human body model and the optional preset evaluation parameter values in an area outside the parameter trend curve area, specifically comprising:
displaying the virtual human body model in the image display area, and displaying the preset evaluation parameter value in an area outside the virtual human body model.
14. The monitoring device of claim 3, wherein the second display area further comprises an image display area adjacent to the parameter trend curve area and an estimated parameter value area adjacent to the parameter trend curve area and the image display area, and wherein the processor displaying the virtual mannequin and optionally the preset estimated parameter values in an area outside of the parameter trend curve area further comprises:
displaying the virtual human body model in the image display area;
and displaying the preset evaluation parameter value in the evaluation parameter value area.
15. The monitoring device of claim 14, wherein the processor displays the virtual mannequin in the image display area, specifically comprising:
displaying the virtual human body model in the image display area, and displaying specific evaluation parameter values in an area outside the virtual human body model in the image display area, wherein the preset evaluation parameter values at least comprise the specific evaluation parameter values.
16. The monitoring device of claim 15, wherein the processor is further configured to:
when the specific evaluation parameter value is determined to meet the preset condition, displaying the specific evaluation parameter value in a first preset display style;
when it is determined that the specific evaluation parameter value does not satisfy the preset condition, displaying the specific evaluation parameter value in a second preset display style, wherein the first preset display style is different from the second preset display style, and the first preset display style and the second preset display style include at least one of a color, a font size, a font type, a font effect, a font background color, or a transparency of the specific evaluation parameter value.
17. The monitoring device of claim 15, wherein the processor is further configured to:
when the specific evaluation parameter value is determined to meet a preset condition, a target monitoring part associated with the specific evaluation parameter value meeting the preset condition is determined in the virtual human body model, and the target monitoring part is highlighted.
18. The monitoring device of claim 17, wherein the virtual mannequin is rotatable within a preset range of angles to display the target monitoring location.
19. The monitoring device of claim 1, wherein the processor is further configured to:
and responding to touch operation aiming at the virtual human body model, rotating the virtual human body model to display different monitoring positions in the virtual human body model.
20. The monitoring device of claim 1, wherein the processor is further configured to:
when the preset evaluation parameter value is larger than a first threshold value, displaying a first identifier behind the preset evaluation parameter value, wherein the first identifier is used for indicating that the preset evaluation parameter value is higher than a normal value; when the preset evaluation parameter value is smaller than a second threshold value, displaying a second identifier behind the preset evaluation parameter value, wherein the first identifier is used for indicating that the preset evaluation parameter value is lower than the normal value, and the first identifier is different from the second identifier;
and when the preset evaluation parameter value is less than or equal to the first threshold and greater than or equal to the second threshold, displaying a third identifier or not displaying any identifier behind the preset evaluation parameter value, wherein the third identifier is used for indicating that the preset evaluation parameter value is equal to the normal value, and the third identifier is different from the first identifier and the second identifier.
21. The monitoring device of claim 3, wherein the parameter trend curve region includes at least one trend display region, the processor further configured to:
determining a trend type corresponding to the parameter trend curve;
and displaying the parameter trend curves of the same trend type in the same trend display area, and displaying the parameter trend curves of different trend types in different trend display areas respectively.
22. The monitoring device of claim 21, wherein the processor is further configured to:
and a first title corresponding to the trend type is displayed in each trend display area.
23. The monitoring device of claim 22, wherein the area outside the parameter trend curve region includes at least one numerical display region corresponding to the at least one trend display region; the processor is further configured to:
determining the parameter type corresponding to the parameter trend curve;
and displaying the evaluation parameter values of the same parameter type in the same value display area, and displaying the evaluation parameter values of different parameter types in different value display areas respectively.
24. The monitoring device of claim 23, wherein the processor is further configured to:
and a second title corresponding to the parameter type is displayed in each numerical value display area, wherein the first title is the same as the second title.
25. The monitoring device of claim 23, wherein the virtual mannequin is a human head image; the trend type corresponding to the parameter trend curve comprises a cerebral blood flow related parameter trend curve, an electroencephalogram related parameter trend curve, a cerebral oxygen saturation related parameter trend curve and a cerebrovascular reactivity related parameter trend curve; the parameter types corresponding to the parameter trend curve comprise parameters related to cerebral blood flow, parameters related to electroencephalogram, parameters related to cerebral oxygen saturation and parameters related to cerebrovascular reactivity.
26. The monitoring device of claim 3, wherein the first display area comprises a first area and a second area arranged side by side, the first area being contiguous with the parameter trend curve region; the method includes the following steps that according to monitoring data in a preset first display time length, a real-time monitoring image is displayed in a first display area of a monitoring interface, and the method specifically includes the following steps:
the processor is used for displaying the real-time parameter waveform in the first area and displaying the real-time parameter value in the second area according to the monitoring data in the preset first display time length.
27. A review method of monitoring data is applied to a monitoring device in a medical central station system, and comprises the following steps:
displaying a monitoring interface;
acquiring monitoring data, wherein the monitoring data comprises parameter values of various parameters, and the parameter values of the various parameters comprise real-time parameter values and historical parameter values;
displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface according to the monitoring data, wherein the real-time monitoring image is used for presenting the real-time parameter values and/or real-time parameter waveforms, the monitoring evaluation image is used for presenting parameter trend curves and virtual human body models of the various parameters, and optionally is also used for presenting preset evaluation parameter values of the various parameters; the virtual human body model is used for graphically displaying the monitoring part and the monitoring part according to the parameter values or the parameter trend curves of the various parameters;
responding to a retrospective operation aiming at any target monitoring point on the parameter trend curve, and determining a target parameter value corresponding to the target monitoring point;
and updating and displaying the virtual human body model and the optional preset evaluation parameter value according to the target parameter value.
28. The review method of claim 27, wherein the displaying the real-time monitoring image and the monitoring evaluation image on the monitoring interface of the monitoring device according to the monitoring data specifically includes:
responding to a first preset operation aiming at the monitoring interface, and controlling to simultaneously display the real-time monitoring image and the monitoring evaluation image according to the monitoring data; alternatively, the first and second electrodes may be,
displaying the real-time monitoring image on the monitoring interface according to the monitoring data;
and responding to a preset first operation aiming at the monitoring interface, and controlling to display the monitoring evaluation image.
29. The review method of claim 27, wherein the review method further comprises:
displaying the real-time monitoring image in a first display area of the monitoring interface according to monitoring data within a preset first display time length;
and displaying the monitoring evaluation image in a second display area of the monitoring interface according to monitoring data within a preset second display time length, wherein the real-time monitoring image and the monitoring evaluation image are not overlapped, or partially overlapped, or completely overlapped.
30. The review method as set forth in claim 29, wherein the second display area includes a parameter trend curve area, and the displaying the monitoring evaluation image on the second display area of the monitoring interface according to the monitoring data within a preset second display time period includes:
and displaying the parameter trend curve in the parameter trend curve area according to the monitoring data in the preset second display time length, and displaying the virtual human body model and the optional preset evaluation parameter value in an area outside the parameter trend curve area.
31. The review method as set forth in claim 30, wherein the displaying the parameter trend curve in the parameter trend curve area according to the monitoring data within the preset second display time period includes:
constructing a two-dimensional coordinate graph in the parameter trend curve area, wherein a horizontal axis of the two-dimensional coordinate graph is a time axis, a vertical axis of the two-dimensional coordinate graph is a parameter axis, the time axis represents recording time corresponding to all monitoring points at each acquisition time within the preset second display time length, and the parameter axis represents parameter values corresponding to all monitoring points at each acquisition time within the preset second display time length;
and mapping the recording time and the parameter value into the two-dimensional coordinate graph so as to display the parameter trend curve in the two-dimensional coordinate graph, wherein the parameter trend curve is arranged along the direction parallel to the time axis.
32. The review method of claim 30, wherein the two-dimensional coordinate graph includes a trend graph control, and the determining the target parameter value corresponding to the target monitoring point in response to the review operation for the target monitoring point on the parameter trend curve includes:
displaying the trend graph control at the position of a target monitoring point in response to a retrospective operation aiming at the target monitoring point on the parameter trend curve;
acquiring the corresponding selected time of the trend graph control on the two-dimensional coordinate graph;
determining a target parameter value corresponding to the parameter trend curve at the selected time according to the selected time; or
Moving the trend graph control from a first position of the two-dimensional graph to a second position of the two-dimensional graph, wherein the first position of the two-dimensional graph is represented as a position corresponding to a latest monitoring point within the preset second display time length, and the second position of the two-dimensional graph is a position corresponding to the target monitoring point;
acquiring the corresponding selected time of the trend graph control on the two-dimensional coordinate graph;
and determining a target parameter value corresponding to the parameter trend curve at the selected time according to the selected time.
33. The review method of claim 32, wherein prior to the moving the trend graph control from the first location of the two-dimensional graph to the second location of the two-dimensional graph, the review method further comprises:
and responding to preset operation aiming at the two-dimensional coordinate graph, and displaying the trend graph control at a first position of the two-dimensional coordinate graph.
34. The review method of claim 33, wherein the review method further comprises:
and when the trend graph control is detected to be positioned at the first position, displaying the latest parameter numerical value corresponding to the latest monitoring point on the parameter trend curve in an area outside the parameter trend curve area.
35. The review method of claim 33, wherein the review method further comprises:
when the trend graph control is detected to move to a third position of the two-dimensional coordinate graph, outputting prompt information, wherein the third position is a position corresponding to the earliest monitoring point in the preset second display time length; or
When the trend graph control is detected to move to a third position, outputting a historical parameter trend curve outside the preset second display time length, and covering a part or all of the current parameter trend curve within the preset second display time length; or
And when the trend graph control is detected to move to the third position, controlling the trend graph control to be displayed at the first position again.
36. The review method of claim 33, wherein the trend graph control includes at least one of an active cursor and an active reticle, the active reticle being perpendicular to the time axis.
37. The review method as set forth in claim 30, wherein a time control is displayed in the second display area, and the displaying the parameter trend curve in the parameter trend curve area according to the monitoring data within a preset second display time duration specifically includes:
when the time control is detected to receive a time selection instruction, determining a target display time length, and taking the target display time length as the preset second display time length;
and displaying the parameter trend curve in the parameter trend curve area according to the monitoring data within a preset second display time length.
38. The review method as set forth in claim 37, wherein the displaying the parameter trend curve in the parameter trend curve area according to the monitored data within the preset second display time period includes:
and displaying the parameter trend curve in the parameter trend curve area according to the monitoring data in the second display time length before the current moment.
39. The review method of claim 27, wherein the updating and displaying the virtual mannequin and the selectable preset evaluation parameter values according to the target parameter values includes:
according to the target parameter value, graphically displaying a target monitoring part associated with the target parameter value on the virtual human body model;
optionally, the target parameter value is used as the preset evaluation parameter value, and the preset evaluation parameter value is displayed in an area outside the parameter trend curve area.
40. The review method as set forth in claim 30, wherein the second display area further includes an image display area adjacent to the parameter trend curve area, and the area outside the parameter trend curve area displays the virtual human body model and the optional preset evaluation parameter values, specifically including:
displaying the virtual human body model in the image display area, and displaying the preset evaluation parameter value in an area outside the virtual human body model.
41. The review method of claim 30, wherein the second display area further includes an image display area adjacent to the parameter trend curve area and an estimated parameter value area adjacent to the parameter trend curve area and the image display area, the displaying the virtual human body model and the optional preset estimated parameter value in an area outside the parameter trend curve area further including:
displaying the virtual human body model in the image display area;
and displaying the preset evaluation parameter value in the evaluation parameter value area.
42. The review method of claim 41, wherein the displaying the virtual mannequin in the image display area specifically includes:
displaying the virtual human body model in the image display area, and displaying specific evaluation parameter values in an area outside the virtual human body model, wherein the preset evaluation parameter values at least comprise the specific evaluation parameter values.
43. The review method of claim 42, wherein the review method further comprises:
when the specific evaluation parameter value is determined to meet the preset condition, displaying the specific evaluation parameter value in a first preset display style;
when it is determined that the specific evaluation parameter value does not satisfy the preset condition, displaying the specific evaluation parameter value in a second preset display style, wherein the first preset display style is different from the second preset display style, and the first preset display style and the second preset display style include at least one of a color, a font size, a font type, a font effect, a font background color, or a transparency of the specific evaluation parameter value.
44. The review method of claim 42, wherein the review method further comprises:
when the specific evaluation parameter value is determined to meet a preset condition, a target monitoring part associated with the specific evaluation parameter value meeting the preset condition is determined in the virtual human body model, and the target monitoring part is highlighted.
45. The review method of claim 44, wherein the virtual mannequin is rotatable within a preset range of angles to display the target monitoring site.
46. The review method of claim 27, wherein the review method further comprises:
and responding to touch operation aiming at the virtual human body model, rotating the virtual human body model to display different monitoring positions in the virtual human body model.
47. The review method of claim 27, wherein the review method further comprises:
when the preset evaluation parameter value is larger than a first threshold value, displaying a first identifier behind the preset evaluation parameter value, wherein the first identifier is used for indicating that the preset evaluation parameter value is higher than a normal value; when the preset evaluation parameter value is smaller than a second threshold value, displaying a second identifier behind the preset evaluation parameter value, wherein the first identifier is used for indicating that the preset evaluation parameter value is lower than the normal value, and the first identifier is different from the second identifier;
and when the preset evaluation parameter value is less than or equal to the first threshold and greater than or equal to the second threshold, displaying a third identifier or not displaying any identifier behind the preset evaluation parameter value, wherein the third identifier is used for indicating that the preset evaluation parameter value is equal to the normal value, and the third identifier is different from the first identifier and the second identifier.
48. The review method of claim 30, wherein the parametric trend curve region includes at least one trend display region, the review method further comprising:
determining a trend type corresponding to the parameter trend curve;
and displaying the parameter trend curves of the same trend type in the same trend display area, and displaying the parameter trend curves of different trend types in different trend display areas respectively.
49. The review method of claim 48, wherein the review method further comprises:
and a first title corresponding to the trend type is displayed in each trend display area.
50. The review method of claim 49, wherein the area outside the parameter trend curve region includes at least one numerical display region corresponding to the at least one trend display region; the review method further comprises:
determining the parameter type corresponding to the parameter trend curve;
and displaying the evaluation parameter values of the same parameter type in the same value display area, and displaying the evaluation parameter values of different parameter types in different value display areas respectively.
51. The review method of claim 50, wherein the review method further comprises:
and a second title corresponding to the parameter type is displayed in each numerical value display area, wherein the first title is the same as the second title.
52. The review method of claim 50, wherein the virtual mannequin is a human head image; the trend type corresponding to the parameter trend curve comprises a cerebral blood flow related parameter trend curve, an electroencephalogram related parameter trend curve, a cerebral oxygen saturation related parameter trend curve and a cerebrovascular reactivity related parameter trend curve; the parameter types corresponding to the parameter trend curve comprise parameters related to cerebral blood flow, parameters related to electroencephalogram, parameters related to cerebral oxygen saturation and parameters related to cerebrovascular reactivity.
53. The review method of claim 30, wherein the first display area includes a first area and a second area arranged side by side, the first area adjoining the parameter trend curve region; the method comprises the following steps of displaying a real-time monitoring image in a first display area of a monitoring interface according to monitoring data in a preset first display time length, and specifically comprises the following steps:
and displaying the real-time parameter waveform in the first area and displaying the real-time parameter value in the second area according to the monitoring data in the preset first display time length.
54. A medical central station system is characterized by comprising a central station device, wherein the central station device is in communication connection with a monitoring device, acquires monitoring data from the monitoring device, and comprises a display, a processor and a memory,
the memory is used for storing programs;
the display is used for displaying a monitoring interface;
the processor, to execute the program in the memory, configured to:
displaying a real-time monitoring image and a monitoring evaluation image on the monitoring interface according to the monitoring data, wherein the real-time monitoring image is used for presenting the real-time parameter values and/or real-time parameter waveforms, the monitoring evaluation image is used for presenting parameter trend curves and virtual human body models of the various parameters, and optionally is also used for presenting preset evaluation parameter values of the various parameters; the virtual human body model is used for graphically displaying the monitoring part and the monitoring part according to the parameter values or the parameter trend curves of the various parameters;
responding to a retrospective operation aiming at any target monitoring point on the parameter trend curve, and determining a target parameter value corresponding to the target monitoring point;
and updating and displaying the virtual human body model and the optional preset evaluation parameter value according to the target parameter value.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011563639 | 2020-12-25 | ||
| CN2020115636392 | 2020-12-25 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114680823A true CN114680823A (en) | 2022-07-01 |
Family
ID=82135769
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111214058.2A Pending CN114680823A (en) | 2020-12-25 | 2021-10-18 | Monitoring equipment, medical central station system and monitoring data reviewing method |
| CN202180078091.9A Pending CN116490120A (en) | 2020-12-25 | 2021-12-23 | Monitoring device and display method of monitoring data |
| CN202180081842.2A Pending CN116634931A (en) | 2020-12-25 | 2021-12-24 | Monitoring device and display method for monitoring device |
Family Applications After (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202180078091.9A Pending CN116490120A (en) | 2020-12-25 | 2021-12-23 | Monitoring device and display method of monitoring data |
| CN202180081842.2A Pending CN116634931A (en) | 2020-12-25 | 2021-12-24 | Monitoring device and display method for monitoring device |
Country Status (2)
| Country | Link |
|---|---|
| CN (3) | CN114680823A (en) |
| WO (2) | WO2022135530A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116421178A (en) * | 2023-04-19 | 2023-07-14 | 河北金盛达医疗用品有限公司 | Auxiliary monitoring method, device, terminal equipment and readable storage medium |
| WO2024032129A1 (en) * | 2022-08-12 | 2024-02-15 | 深圳迈瑞生物医疗电子股份有限公司 | Medical device and display processing method therefor |
| CN117649914A (en) * | 2024-01-30 | 2024-03-05 | 陕西省核工业二一五医院 | Patient physical sign real-time monitoring system for gastroscope anesthesia process |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116936133B (en) * | 2023-09-18 | 2023-12-08 | 四川互慧软件有限公司 | Nutrient condition monitoring method and system based on nursing morning shift data |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010233953A (en) * | 2009-03-31 | 2010-10-21 | Fukuda Denshi Co Ltd | Electrocardiogram analysis report, electrocardiogram analyzer, electrocardiogram analysis method, and electrocardiogram analysis program |
| US20110004071A1 (en) * | 2009-05-28 | 2011-01-06 | Anthony Faiola | Medical Information Visualization Assistant System and Method |
| US20120215075A1 (en) * | 2009-05-20 | 2012-08-23 | Saab Sensis Corporation | Corpsman/medic medical assistant system and method |
| US20130044111A1 (en) * | 2011-05-15 | 2013-02-21 | James VanGilder | User Configurable Central Monitoring Station |
| CN107847175A (en) * | 2015-10-10 | 2018-03-27 | 深圳迈瑞生物医疗电子股份有限公司 | Medical menitoring system, the method for showing monitoring data and monitoring display device |
| CN108135503A (en) * | 2015-08-11 | 2018-06-08 | 迈心诺公司 | The medical monitoring analysis and playback of label including the light in response to being decayed by bodily tissue |
| CN111212599A (en) * | 2017-10-19 | 2020-05-29 | 迈心诺公司 | Display arrangement for medical monitoring system |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10227063B2 (en) * | 2004-02-26 | 2019-03-12 | Geelux Holdings, Ltd. | Method and apparatus for biological evaluation |
| AU2006218595A1 (en) * | 2005-03-02 | 2006-09-08 | Spacelabs Medical | Trending display of patient wellness |
| CN103040460B (en) * | 2011-10-17 | 2015-06-10 | 深圳迈瑞生物医疗电子股份有限公司 | Monitor and monitoring parameter display method thereof |
| JP6189713B2 (en) * | 2013-10-29 | 2017-08-30 | 日本光電工業株式会社 | Biological information monitoring device and central monitor |
| CN105413030A (en) * | 2014-08-01 | 2016-03-23 | 深圳迈瑞生物医疗电子股份有限公司 | Lung recruitment maneuver ventilation control method and device |
| EP3229688B1 (en) * | 2014-12-08 | 2020-10-28 | Koninklijke Philips N.V. | Device and method to recommend diagnostic procedure based on co-registered angiographic image and physiological information measured by intravascular device |
| CN112998650A (en) * | 2015-01-06 | 2021-06-22 | 大卫·伯顿 | Movable wearable monitoring system |
| CN105852799B (en) * | 2015-01-21 | 2019-06-21 | 深圳迈瑞生物医疗电子股份有限公司 | A kind of method, equipment, ventilator and patient monitor showing CPR monitoring data |
| CN112969407A (en) * | 2018-12-24 | 2021-06-15 | 深圳迈瑞生物医疗电子股份有限公司 | Interface display method based on monitoring equipment and monitoring equipment |
| CN112839564B (en) * | 2018-12-24 | 2023-02-21 | 深圳迈瑞生物医疗电子股份有限公司 | Physiological sign monitoring method and medical monitoring equipment for craniocerebral injury |
-
2021
- 2021-10-18 CN CN202111214058.2A patent/CN114680823A/en active Pending
- 2021-12-23 CN CN202180078091.9A patent/CN116490120A/en active Pending
- 2021-12-23 WO PCT/CN2021/140875 patent/WO2022135530A1/en active Application Filing
- 2021-12-24 CN CN202180081842.2A patent/CN116634931A/en active Pending
- 2021-12-24 WO PCT/CN2021/141350 patent/WO2022135585A1/en active Application Filing
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010233953A (en) * | 2009-03-31 | 2010-10-21 | Fukuda Denshi Co Ltd | Electrocardiogram analysis report, electrocardiogram analyzer, electrocardiogram analysis method, and electrocardiogram analysis program |
| US20120215075A1 (en) * | 2009-05-20 | 2012-08-23 | Saab Sensis Corporation | Corpsman/medic medical assistant system and method |
| US20110004071A1 (en) * | 2009-05-28 | 2011-01-06 | Anthony Faiola | Medical Information Visualization Assistant System and Method |
| US20130044111A1 (en) * | 2011-05-15 | 2013-02-21 | James VanGilder | User Configurable Central Monitoring Station |
| CN108135503A (en) * | 2015-08-11 | 2018-06-08 | 迈心诺公司 | The medical monitoring analysis and playback of label including the light in response to being decayed by bodily tissue |
| CN107847175A (en) * | 2015-10-10 | 2018-03-27 | 深圳迈瑞生物医疗电子股份有限公司 | Medical menitoring system, the method for showing monitoring data and monitoring display device |
| CN111212599A (en) * | 2017-10-19 | 2020-05-29 | 迈心诺公司 | Display arrangement for medical monitoring system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024032129A1 (en) * | 2022-08-12 | 2024-02-15 | 深圳迈瑞生物医疗电子股份有限公司 | Medical device and display processing method therefor |
| CN116421178A (en) * | 2023-04-19 | 2023-07-14 | 河北金盛达医疗用品有限公司 | Auxiliary monitoring method, device, terminal equipment and readable storage medium |
| CN116421178B (en) * | 2023-04-19 | 2024-05-28 | 河北金盛达医疗用品有限公司 | Auxiliary monitoring method, device, terminal equipment and readable storage medium |
| CN117649914A (en) * | 2024-01-30 | 2024-03-05 | 陕西省核工业二一五医院 | Patient physical sign real-time monitoring system for gastroscope anesthesia process |
| CN117649914B (en) * | 2024-01-30 | 2024-04-26 | 陕西省核工业二一五医院 | Patient physical sign real-time monitoring system for gastroscope anesthesia process |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116634931A (en) | 2023-08-22 |
| CN116490120A (en) | 2023-07-25 |
| WO2022135585A1 (en) | 2022-06-30 |
| WO2022135530A1 (en) | 2022-06-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11967009B2 (en) | Medical monitoring analysis and replay including indicia responsive to light attenuated by body tissue | |
| CN114680823A (en) | Monitoring equipment, medical central station system and monitoring data reviewing method | |
| JP5584413B2 (en) | Patient monitoring system and monitoring method | |
| KR20200074175A (en) | Display configuration for medical monitoring systems | |
| US20170100082A1 (en) | Systems and methods for monitoring and displaying a patient's status | |
| CA2635854C (en) | Medical monitor user interface | |
| EP3614909A1 (en) | Spot check measurement system | |
| CN107847176B (en) | Medical monitoring system, method for displaying monitoring data and monitoring display device | |
| WO2020042639A1 (en) | Monitoring system, and method and device for displaying physical sign parameter | |
| US10667766B2 (en) | Method and system for monitoring multiple patient parameters on a touchscreen | |
| JP6227288B2 (en) | Biological information monitor | |
| JP5719520B2 (en) | Biological information monitor device, screen display method, and screen display program | |
| WO2020041984A1 (en) | Monitoring device, and monitoring information display method and apparatus | |
| CN114680842A (en) | Monitoring device and vital sign data overview method thereof | |
| WO2022135583A1 (en) | Monitoring device and display method for monitoring device | |
| WO2022135605A1 (en) | Monitoring information display method, electroencephalogram abnormality alarm method, and monitoring system | |
| WO2020133429A1 (en) | Monitoring method, monitor and computer storage medium | |
| KR20220117632A (en) | Method and system for providing remote counseling service | |
| CN112469330A (en) | Medical monitoring system, and method and device for reviewing respiratory events | |
| TWI774460B (en) | Patient information presentation method and electronic device | |
| WO2022163239A1 (en) | Information processing apparatus, information processing method, and information processing system | |
| JP2017077343A (en) | Biological information measurement apparatus and control method of the same |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |