CN114126487A

CN114126487A - Monitoring method, monitoring device, monitoring equipment and computer readable storage medium

Info

Publication number: CN114126487A
Application number: CN201980098499.5A
Authority: CN
Inventors: 贾英杰; 蒋浩宇; 叶文宇; 李亦景; 阚增辉; 胡咪咪; 何先梁
Original assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Current assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Priority date: 2019-12-02
Filing date: 2019-12-02
Publication date: 2022-03-01
Also published as: WO2021108950A1

Abstract

A monitoring device (10) comprising: the first acquisition module (100) is used for acquiring the electrocardiosignals within the target detection time when the target detection time is up; a processing module (101) for acquiring the electrocardiosignals from the first acquisition module (100); generating an electrocardiosignal waveform template according to the electrocardiosignals, and obtaining a target waveform analysis result and/or a target parameter characteristic result according to the electrocardiosignal waveform template; and the output module (102) is used for outputting prompt information according to the target waveform analysis result and/or the target parameter characteristic result. Corresponding monitoring methods, devices and computer readable storage media are also disclosed.

Description

Monitoring method, monitoring device, monitoring equipment and computer readable storage medium

Technical Field

The embodiment of the invention relates to the field of medical equipment, in particular to a monitoring method, a monitoring device, monitoring equipment and a computer readable storage medium.

Background

The existing monitoring technology judges whether a monitored object is abnormal or not through an index value obtained from a physiological signal, and gives alarm prompt information when the index is judged to be abnormal. However, the above-mentioned monitoring alarm technique has a problem that the alarm is inaccurate. Firstly, the diseases with approximate physiological parameter values such as amplitude, heart rate and the like but larger waveform form difference cannot be distinguished, so that the alarm accuracy is low; secondly, when the physiological signal waveform changes obviously but indexes such as amplitude and the like do not change obviously, the problem of alarm delay and even missing report can be caused; finally, because indexes such as amplitude, width and the like are generally determined only by a plurality of characteristic points, if noise or other interference exists, the positioning of the characteristic points is easy to generate larger deviation, so that the index calculation is wrong, and the anti-interference performance of the alarm is low.

Disclosure of Invention

In order to solve the above technical problem, embodiments of the present application provide a monitoring method, a monitoring device, and a computer-readable storage medium, which can improve the anti-interference performance of an alarm.

In a first aspect, an embodiment of the present application provides a monitoring device, including:

the first acquisition module is used for acquiring a physiological signal within target detection time when the target detection time is reached;

a processing module for acquiring the physiological signal from the first acquisition module; generating a physiological signal waveform template according to the physiological signal, and obtaining a target waveform analysis result and/or a target parameter characteristic result according to the physiological signal waveform template;

the output module is used for outputting prompt information according to the target waveform analysis result and/or the target parameter characteristic result;

wherein, when the processing module obtains only the target parameter feature result according to the physiological signal waveform template, the processing module is further configured to: and obtaining physiological characteristic values according to the physiological signal waveform template, analyzing the physiological characteristic values by using preset characteristic conditions to obtain physiological characteristic analysis results, further obtaining characteristic variation trends according to at least two physiological characteristic analysis results, classifying the characteristic variation trends by using preset characteristic trend conditions to obtain characteristic trend analysis results, and determining the characteristic trend analysis results as the target parameter characteristic results.

In a second aspect, an embodiment of the present application provides a monitoring method, including:

acquiring physiological signals of a monitored object through a signal acquirer;

automatically executing, by a controller, the steps of: acquiring the physiological signal from the signal acquirer, generating a physiological waveform template according to the physiological signal in target detection time when the target detection time is up, and acquiring a target waveform analysis result and/or a target characteristic analysis result according to the physiological waveform template; sending an information output instruction according to the target waveform analysis result and/or the target characteristic analysis result;

the output device receives the information output instruction and outputs prompt information;

wherein when the controller obtains only the target parameter feature result from the physiological signal waveform template, the method further comprises: executing, by a controller, the steps of: and obtaining physiological characteristic values according to the physiological signal waveform template, analyzing the physiological characteristic values by using preset characteristic conditions to obtain physiological characteristic analysis results, further obtaining characteristic variation trends according to at least two physiological characteristic analysis results, classifying the characteristic variation trends by using preset characteristic trend conditions to obtain characteristic trend analysis results, and determining the characteristic trend analysis results as the target parameter characteristic results.

In a third aspect, an embodiment of the present application provides a monitoring device, including:

the signal acquirer is used for acquiring a physiological signal within target detection time when the target detection time arrives;

a controller for acquiring the physiological signal from the signal acquirer; generating a physiological signal waveform template according to the physiological signal, obtaining a target waveform analysis result and/or a target parameter characteristic result according to the physiological signal waveform template, and outputting an information output instruction according to the target waveform analysis result and/or the target parameter characteristic result;

the output device is used for outputting prompt information when receiving the information output instruction;

wherein when the controller obtains only the target parameter feature result from the physiological signal waveform template, the controller is further configured to: and obtaining physiological characteristic values according to the physiological signal waveform template, analyzing the physiological characteristic values by using preset characteristic conditions to obtain physiological characteristic analysis results, further obtaining characteristic variation trends according to at least two physiological characteristic analysis results, classifying the characteristic variation trends by using preset characteristic trend conditions to obtain characteristic trend analysis results, and determining the characteristic trend analysis results as the target parameter characteristic results.

In a fourth aspect, an embodiment of the present application further discloses a monitoring device, where the monitoring device includes:

In a fifth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, for use in a monitoring device, where the computer program, when executed by a processor, implements the method according to any of the above.

The monitoring method, the monitoring device, the equipment and the computer readable storage medium continuously determine the physiological parameter value and/or the form classification of the physiological waveform according to the physiological waveform template, and alarm is given to the physiological parameter value and/or the form of the physiological waveform; furthermore, one or more of the physiological parameter values or the change trend of the physiological parameter values in the target detection time period and one or more of the change trends of the physiological waveform form classification and the physiological waveform form classification can be used for judging whether the evolution process of the disease occurrence is met or not and then sending out an alarm, so that the anti-interference performance and the accuracy of the alarm can be improved.

Drawings

Fig. 1 is a schematic structural diagram of a monitoring device according to an embodiment of the present disclosure;

fig. 2 is a schematic structural diagram of a monitoring device according to an embodiment of the present application;

FIG. 3 is a schematic structural diagram of a monitor networking system for use in a hospital according to an embodiment of the present application;

fig. 4 is a flowchart of a monitoring method according to an embodiment of the present application;

fig. 5 is a flowchart illustrating an exemplary workflow of a controller acquiring a waveform template and a morphology classification result according to an embodiment of the present application;

fig. 6 is an interface schematic diagram of a display interface of an exemplary output device according to an embodiment of the present disclosure.

Detailed Description

So that the manner in which the features and elements of the present embodiments can be understood in detail, a more particular description of the embodiments, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings.

Fig. 1 is a schematic structural diagram of a monitoring device 10 according to an embodiment of the present application. The monitoring device 10 comprises:

a first obtaining module 100, configured to obtain a physiological signal within a target detection time when the target detection time arrives;

a processing module 101, configured to acquire the physiological signal from the first acquisition module; generating a physiological signal waveform template according to the physiological signal, and obtaining a target waveform analysis result and/or a target parameter characteristic result according to the physiological signal waveform template;

and the output module 102 is configured to output prompt information according to the target waveform analysis result and/or the target parameter feature result.

It will be appreciated that in one embodiment, the physiological signal is a signal that is characteristic of a physiological characteristic of the subject, which may include signals that may be directly or indirectly characteristic of a physiological characteristic of the subject, such as: electrocardio signals, blood oxygen signals, blood pressure signals, respiration signals, body temperature signals and other physiological signals derived from the signals.

In one embodiment, the prompt message is a message for prompting the user, which may be a message for directly or indirectly prompting the user. For example, alarm information, display information, communication information sent to the user side for prompting the user. The presentation form of the prompt message may include at least one of light, sound, text, graphics, and color.

Wherein, when the processing module obtains only the target parameter feature result according to the physiological signal waveform template, the processing module is further configured to: and obtaining an electrocardio characteristic value according to the physiological signal waveform template, analyzing the physiological characteristic value by using a preset characteristic condition to obtain a physiological characteristic analysis result, further obtaining a characteristic change trend according to at least two physiological characteristic analysis results, classifying the characteristic change trend by using a preset characteristic trend condition to obtain a characteristic trend analysis result, and determining the characteristic trend analysis result as the target parameter characteristic result.

In one embodiment, the processing module 101 includes a calculation module 1010, an analysis module, and a determination module 1013, the analysis module further including: at least one of the first analysis module 1011 or the second analysis module 1012.

Specifically, the calculating module 1010 is further configured to determine the number of preset detection time periods according to the preset detection time periods and the target detection time, where a physiological signal waveform template is correspondingly generated according to a physiological signal in each preset detection time period; a first analysis module 1011 configured to perform one of the following operations: obtaining a physiological characteristic value according to the physiological signal waveform template, and analyzing the physiological characteristic value by using a preset characteristic condition to obtain a physiological characteristic analysis result; or further obtaining a characteristic change trend according to at least two physiological characteristic analysis results, and classifying the characteristic change trend by using a preset characteristic trend condition to obtain a characteristic trend analysis result; the second analysis module 1012 is configured to obtain a template waveform according to the physiological waveform template, and classify the template waveform form by using a preset waveform form to obtain a form classification result; or, further, obtaining a waveform variation trend according to at least two form classification results, and obtaining a waveform trend analysis result when the waveform variation trend meets a preset waveform trend condition; a determining module 1013 configured to determine one of the physiological characteristic analysis result or the characteristic trend analysis result as a target characteristic analysis result; and determining the form classification result and/or the waveform trend analysis result as a target waveform analysis result.

In an embodiment, the calculation module 1010 is further configured to: acquiring at least two electrocardiographic waveform segments according to the physiological signals in each preset detection time period;

and generating an electrocardiosignal waveform template according to the at least two electrocardio waveform segments.

In an embodiment, the calculation module 1010 is further configured to: and generating an electrocardiosignal waveform template according to the at least two electrocardio waveform segments by adopting a cluster analysis method or a weighted average method.

In an embodiment, the second analysis module 1012 further includes a detection module 10120;

the detecting module 10120 is configured to detect position information of a template waveform in the physiological signal waveform template to obtain the template waveform.

In one embodiment, the second analysis module 1012 comprises: a generation module 10121 and a correction module 10122;

the generating module 10121 is configured to generate an initial physiological signal waveform template according to historical physiological signals on at least one signal acquisition channel in the same preset detection time period;

the detecting module 10120 is configured to detect initial position information corresponding to the template waveform in the initial physiological signal waveform template;

the correcting module 10122 is configured to correct the position information of the template waveform according to the initial position information on the signal acquisition channel.

In an embodiment, the first analysis module 1011 further comprises: a first determination module 10110;

the first determining module 10110 is configured to determine, from the physiological signal waveform template, at least one of an amplitude value, a width value, or an inter-period value of adjacent template waveforms in the template waveform corresponding to the template waveform; determining at least one of the amplitude value, width value, or inter-period value as the target feature value.

In an embodiment, the second analysis module 1012 further comprises: a second determining module 10123, configured to determine, from the physiological signal waveform template, at least one of the following as a template waveform: a P-wave waveform, a QRS-wave waveform, a T-wave waveform, or a U-wave waveform.

In an embodiment, the second analysis module 1012 includes a second determination module 10123, configured to determine the preset waveform condition as the form classification result when the template waveform form and the preset waveform form are successfully matched.

In one embodiment, the apparatus 10 further comprises: a display module 103;

the display module 103 is configured to display, on a display interface, at least prompt information generated according to the target waveform analysis result and/or the target feature analysis result.

The embodiment of the present application further provides a monitoring device 11, where the monitoring device 11 may be configured in the monitoring device 10 as a component of the monitoring device 10, or may be a specific embodiment of the monitoring device 10, specifically, the monitoring device 11 is selected according to an actual situation, and the monitoring device 11 does not specifically limit the embodiment of the present application, and includes:

a signal acquirer 112, configured to acquire a physiological signal within a target detection time when the target detection time arrives;

a controller 113 for acquiring the physiological signal from the signal acquirer; generating a physiological signal waveform template according to the physiological signal, and obtaining a target waveform analysis result and/or a target parameter characteristic result according to the physiological signal waveform template;

an output device 116, configured to output prompt information according to the target waveform analysis result and/or the target parameter feature result;

In one embodiment, the controller 113 is further configured to: determining the number of preset detection time periods according to the preset detection time periods and the target detection time, wherein a physiological waveform template is correspondingly generated according to the physiological signal in each preset detection time period;

obtaining a physiological characteristic value according to the physiological waveform template, and analyzing the physiological characteristic value by using a preset characteristic condition to obtain a physiological characteristic analysis result; or further obtaining a characteristic change trend according to at least two physiological characteristic analysis results, and classifying the characteristic change trend by using a preset characteristic trend condition to obtain a characteristic trend analysis result;

obtaining a template waveform according to the physiological waveform template, and classifying the template waveform form by using a preset waveform form to obtain a form classification result; or, further, obtaining a waveform variation trend according to at least two form classification results, and obtaining a waveform trend analysis result when the waveform variation trend meets a preset waveform trend condition;

determining at least one of the physiological characteristic analysis result or the characteristic trend analysis result as a target characteristic analysis result; determining at least one of the morphology classification result or the waveform trend analysis result as a target waveform analysis result.

In an embodiment, the controller 113 is further configured to obtain at least two physiological waveform segments according to the physiological signal in each preset detection period;

and generating a physiological waveform template according to the at least two physiological waveform segments.

In one embodiment, the controller 113 is further configured to generate a physiological waveform template from the at least two physiological waveform segments by cluster analysis or weighted average.

In an embodiment, the controller 113 is further configured to detect position information of a template waveform included in the physiological waveform template to obtain the template waveform.

In one embodiment, the controller 113 is further configured to:

acquiring physiological signals on at least one signal acquisition channel in the same time period, and generating a signal acquisition channel initial physiological waveform template according to the physiological signals;

detecting initial position information corresponding to the template waveform in the initial physiological waveform template;

and obtaining the position information of the template waveform in the physiological waveform template according to the initial position information in the initial physiological waveform template.

In one embodiment, the controller 113 is further configured to:

determining at least one of an amplitude value, a width value or an inter-period value of adjacent template waveforms in the template waveform corresponding to the template waveform from the physiological waveform template; determining at least one of the amplitude value, width value, or inter-period value as the physiological characteristic value.

In one embodiment, the controller 113 is further configured to:

and when the template waveform form and the preset waveform form are successfully matched, determining the preset waveform condition as the form classification result.

In one embodiment, the controller 113 is further configured to: determining at least one of the following as a template waveform from the physiological waveform template: a P-wave waveform, a QRS-wave waveform, a T-wave waveform, or a U-wave waveform.

In one embodiment, the preset characteristic condition includes a preset threshold, the preset waveform condition includes a disease waveform condition, the information output instruction includes an alarm instruction, and the controller 113 is further configured to:

and when the physiological characteristic value meets a preset threshold value but the template waveform does not meet the disease waveform condition, not sending an alarm instruction.

In one embodiment, the preset characteristic condition comprises a preset threshold, the preset waveform condition comprises a disease waveform condition, the information output instruction comprises an alarm instruction, and the controller 113 is further configured to;

and when the physiological characteristics do not meet the preset threshold value and are determined to be the target characteristic analysis result and the template waveform meets the disease waveform condition and is determined to be the target waveform analysis result, sending an alarm instruction.

In one embodiment, the preset characteristic condition comprises a preset threshold, the preset waveform trend condition comprises a disease waveform evolution condition, the information output instruction comprises an alarm instruction, and the controller 113 is further configured to;

and when the physiological characteristics do not meet the preset threshold value and are determined as the target characteristic analysis result and the waveform variation trend meets the disease waveform evolution condition and is determined as the target waveform analysis result, sending an alarm instruction.

In an embodiment, the preset characteristic condition includes a preset threshold, the preset characteristic trend condition includes a disease index evolution condition, the preset waveform trend condition includes a disease waveform evolution condition, the preset waveform form includes a disease waveform condition, which may include a waveform condition corresponding to typical diseases such as ischemia and myocardial infarction, and the controller 113 is further configured to;

determining that the physiological characteristic value does not meet the preset threshold value, and when at least one step is determined, sending an alarm instruction:

the characteristic change trend meets the disease index evolution condition; or the like, or, alternatively,

the target waveform analysis result indicates that the template waveform meets the evolution condition of the disease index; or the like, or, alternatively,

and the target waveform analysis result indicates that the waveform variation trend meets the disease waveform evolution condition.

In one embodiment, the output device 116 includes a display interface, and the controller 113 is further configured to:

and at least displaying prompt information generated according to the target waveform analysis result and/or the target feature analysis result on a display interface.

In one embodiment, the controller 113 is further configured to:

displaying the prompt information in a first display area of the display interface; or

Displaying the physiological waveform template or the template waveform in a second display area of the display interface; or

And displaying at least one of the target waveform analysis result or the target feature analysis result in a third display area of the display interface.

In one embodiment, the controller 113 is further configured to:

and displaying a callback button in a fourth display area, and when receiving an operation instruction of the callback button, adjusting the prompt information displayed by the display by the controller according to the operation instruction.

In an embodiment, the operation instruction includes a selection instruction of historical prompt information, and the controller 113 is further configured to control the display to display at least one of the physiological waveform template, the target waveform analysis result, or the target feature analysis result corresponding to the historical prompt information after receiving the selection instruction.

In one embodiment, the output device 116 is further configured to: and when the target feature analysis result is the feature trend analysis result, displaying a feature trend graph generated according to the feature variation trend.

In one embodiment, the output device 116 is further configured to: and when the target waveform analysis result comprises the waveform trend analysis result, displaying a waveform trend graph generated by the waveform variation trend.

In one embodiment, the output 116 includes a display interface; when the physiological characteristic value meets a preset threshold value, and at least one of the following conditions is determined, extending an observation window on a display interface:

the characteristic change trend does not satisfy the disease index evolution condition; or the like, or, alternatively,

the target waveform analysis result indicates that the template waveform does not accord with the evolution condition of the disease index;

or

And the target waveform analysis result indicates that the waveform variation trend does not accord with the disease waveform evolution condition.

In particular, in one embodiment, as shown in fig. 2, the signal acquirer 112, the controller 113, and the outputter 116 may be one or more elements, circuits, or components. In one embodiment, the signal acquirer 112 is the parameter measuring circuit 112, the controller 113 is the main control circuit 113, and the outputter 116 is the alarm circuit 116. In this embodiment, the parameter measurement circuit 112 at least includes a parameter measurement circuit 112 corresponding to a physiological parameter or a state parameter, the parameter measurement circuit 112 at least includes at least one parameter measurement circuit 112 of an electrocardiographic signal parameter measurement circuit 112, a respiratory parameter measurement circuit 112, a body temperature parameter measurement circuit 112, a blood oxygen parameter measurement circuit 112, a premature beat morphology parameter measurement circuit 112, a non-invasive blood pressure parameter measurement circuit 112, an invasive blood pressure parameter measurement circuit 112, and the like, and each parameter measurement circuit 112 is respectively connected with an externally inserted sensor accessory 111 through a corresponding sensor interface. The sensor accessory 111 comprises a detection accessory corresponding to the detection of physiological parameters such as electrocardio-respiration, blood oxygen, blood pressure, body temperature and the like. The parameter measurement circuit 112 is mainly used for connecting the sensor accessory 111 to obtain the acquired physiological parameter signal, and may include at least two measurement circuits of physiological parameters, and the parameter measurement circuit 112 may be, but is not limited to, the physiological parameter measurement circuit 112 (module), the human physiological parameter measurement circuit 112 (module) or the sensor to acquire the human physiological parameter, etc. Specifically, the parameter measurement circuit 112 obtains the physiological sampling signal of the relevant patient from the external physiological parameter sensor accessory 111 through the expansion interface, and obtains the physiological data after processing for alarming and displaying. The expansion interface can also be used for outputting a control signal which is output by the control circuit 113 and relates to how to acquire the physiological parameter to an external physiological parameter monitoring accessory through a corresponding interface, so that the monitoring and control of the physiological parameter of the patient are realized.

The control circuit 113 needs to include at least one processor and at least one memory, and of course, the control circuit 113 may further include at least one of a power management module, a power IP module, an interface conversion circuit, and the like. The power management module is used for controlling the on and off of the whole machine, the power-on time sequence of each power domain in the board card, the charging and discharging of the battery and the like. The power supply IP block refers to a power supply module that associates a schematic diagram of a power supply circuit unit frequently called repeatedly with a PCB layout and solidifies the schematic diagram into individual power supply modules, that is, converts an input voltage into an output voltage through a predetermined circuit, wherein the input voltage and the output voltage are different. For example, a voltage of 15V is converted into 18V, 33V, 38V, or the like. It is understood that the power supply IP block may be single-pass or multi-pass. When the power supply IP block is single-pass, the power supply IP block may convert an input voltage into an output voltage. When the power IP module is the multichannel, the power IP module can be a plurality of output voltage with an input voltage conversion, and a plurality of output voltage's magnitude of voltage can be the same, also can not be the same to can satisfy a plurality of electronic component's different voltage demands simultaneously, and the module is few to the external interface, and the work is black box and external hardware system decoupling zero in the system, has improved whole electrical power generating system's reliability. The interface conversion circuit is used for converting signals output by the minimum system control module (i.e., at least one processor and at least one memory in the control circuit 113) into input standard signals required to be received by actual external devices, for example, supporting an external VGA display function, converting RGB digital signals output by the control CPU into VGA analog signals, supporting an external network function, and converting RMII signals into standard network differential signals.

In addition, the adaptive monitoring device or system may further include one or more of a local display 114, an input interface circuit 117, an external communication and power interface 115. The control circuit 113 is used to coordinate and control the boards, circuits and devices in the multi-parameter monitor or module assembly. In this embodiment, the control circuit 113 is used to control data interaction between the parameter measuring circuit 112 and the communication interface circuit, and transmission of control signals, and transmit physiological data to the display 114 for display, and also may receive user control instructions input from the physical input interface circuit 117 such as a touch screen, a keyboard, and keys, and of course, may also output control signals on how to acquire physiological parameters. The display 114 is further configured to display at least one of a trend graph of the master parameter, the normal range, the alarm refractory period, the reference parameter, or the preset range. The alarm circuit 116 may be an audible and visual alarm circuit 116. The control circuit 113 performs the calculation of the physiological parameters, and sends the calculation result and the waveform of the parameters to a host (such as a host with a display 114, a PC, a central station 211, etc.) through the external communication and power interface 115, where the external communication and power interface 115 may be one or a combination of a local area network interface composed of Ethernet (Ethernet), Token Ring (Token Ring), Token Bus (Token Bus), and backbone Fiber Distributed Data Interface (FDDI) as these three networks, one or a combination of wireless interfaces such as infrared, bluetooth, wifi, WMTS communication, or one or a combination of wired data connection interfaces such as RS232 and USB. The external communication and power interface 115 may also be one or a combination of a wireless data transmission interface and a wired data transmission interface. The host can be any computer equipment of a host computer of a monitor, an electrocardiograph, an ultrasonic diagnostic apparatus, a computer and the like, and matched software is installed to form the monitor equipment. The host machine can also be communication equipment, such as a mobile phone, and the multi-parameter monitor or the module component sends data to the mobile phone supporting Bluetooth communication through the Bluetooth interface to realize remote transmission of the data.

The self-adaptive monitoring device can be arranged outside a monitor shell and used as an independent external parameter insertion module, a plug-in monitor can be formed by a host (comprising a control panel) inserted into the monitor and used as a part of the monitor, or the self-adaptive monitoring device can be connected with the host (comprising the control panel) of the monitor through a cable, and the external parameter insertion module is used as an external accessory of the monitor. Of course, the parameter processing can also be built in the shell, integrated with the control module, or physically separated from the shell to form the integrated monitor.

As shown in fig. 3, the present application further provides a monitor networking system for use in a hospital, which can integrally store data of a monitor, centrally manage patient information and nursing information, and store the patient information and the nursing information in association, so as to facilitate storage of historical data and association alarm. In the system shown in fig. 4, a bedside monitor 212 may be provided for each patient bed, and the bedside monitor 212 may include the adaptive monitoring device or the plug-in monitor described above. In addition, each bedside monitor 212 can also be paired with a portable monitoring device 213 for transmission, the portable monitoring device 213 provides a simple and portable multi-parameter monitor or module, and can be worn on the body of a patient to perform mobile monitoring corresponding to the patient, and physiological data generated by the mobile monitoring can be transmitted to the bedside monitor 212 for display after the portable monitoring device 213 is in wired or wireless communication with the bedside monitor 212, or transmitted to the central station 211 for a doctor or a nurse to view through the bedside monitor 212, or transmitted to the data server 215 for storage through the bedside monitor 212. In addition, the portable monitoring device 213 can also directly transmit the physiological data generated by the mobile monitoring to the central station 211 through the wireless network node 214 arranged in the hospital for storage and display, or transmit the physiological data generated by the mobile monitoring to the data server 215 through the wireless network node 214 arranged in the hospital for storage. It can be seen that the data corresponding to the physiological parameters displayed on the bedside monitor 212 can originate from the sensor accessory 111 directly connected above the monitor, or from the portable monitoring device 213, or from the data server 215.

While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.

The embodiment of the present application further provides a computer-readable storage medium, where multiple program instructions are stored in the computer-readable storage medium, and after the multiple program instructions are called and executed by the controller 113, some or all of the steps of the monitoring method in the embodiments of the present application, or any combination of the steps in the monitoring method may be executed.

In one embodiment, the computer readable storage medium may be a memory, which may be a non-volatile storage medium such as a flash memory card, solid state memory, hard disk, or the like.

Referring to fig. 4, a monitoring method provided by the embodiment of the present application is applied to the monitoring device 11. The embodiment of the monitoring method in the application comprises the following steps:

s101, collecting physiological signals of the monitored object through a signal acquisition device.

The monitoring method provided by the embodiment is suitable for the scene of monitoring and alarming the physiological state of the patient.

In an embodiment, the signal acquirer includes at least two leads, the medical staff respectively attaches the at least two leads to the designated positions on the body surface of the monitored object, and the alarm device acquires the physiological signals of the monitored object in real time by using the at least two leads, where the physiological signals include electrocardiograph signals, respiration signals, blood oxygen signals, blood pressure signals, body temperature signals, and the like, and are specifically selected according to actual situations, and the embodiment of the present application is not specifically limited. In one embodiment, each lead forms an information acquisition channel.

In an embodiment, when the electrocardiographic monitoring system is used for electrocardiographic monitoring, the electrocardiographic leads can include 3 leads, 5 leads and 12 leads, and the specific number of leads is selected according to actual conditions, and the embodiment of the application is not particularly limited.

One or at least two physiological signals may be used. For example, in one embodiment, the physiological signal may be a cardiac signal. In another embodiment, in the monitoring process of the target physiological parameter, in order to improve the accuracy of the alarm, a physiological parameter may be combined with changes of a plurality of associated parameters associated with the physiological parameter to determine a state change of the target physiological parameter. Therefore, in the embodiment of the present application, at least two physiological signals of the monitored object may be acquired by the signal acquirer, and in the subsequent processing process, the at least two physiological signals are analyzed to form a first waveform analysis result and/or a first feature analysis result obtained according to the first physiological signal, a second waveform analysis result and/or a second feature analysis result obtained according to the second physiological signal, the first waveform analysis result and the second waveform analysis result are combined to form a target waveform analysis result, and the first feature analysis result and the second feature analysis result are combined to form a target feature analysis result, so as to implement the monitoring and alarming functions on the target physiological features according to the combined analysis result.

Illustratively, in an electrocardiographic monitoring scenario, a medical worker needs to monitor an electrocardiographic parameter, and a parameter associated with the electrocardiographic parameter is a blood oxygen pulse rate, so that the monitoring device respectively obtains an electrocardiographic signal and a blood oxygen signal through a signal obtaining device for analysis.

S102, executing the following steps through a controller: and acquiring the physiological signal from the signal acquirer, generating a physiological waveform template according to the physiological signal in the target detection time when the target detection time is up, and acquiring a target waveform analysis result and/or a target characteristic analysis result according to the physiological waveform template. And sending an information output instruction according to the target waveform analysis result and/or the target characteristic analysis result.

After the physiological signal of the monitored object is collected through the signal acquirer, the physiological signal is transmitted to the controller, when the target detection time is up, the controller generates a physiological waveform template according to the physiological signal in the target detection time, and acquires a target waveform analysis result and/or a target characteristic analysis result according to the physiological waveform template, and then the controller sends an information output instruction according to the target waveform analysis result and/or the target characteristic analysis result. In addition, the controller is also used for detecting R waves in real time, calculating heart rate, judging heart beat type and counting abnormal heart beats according to the physiological signals in the preset detection time period.

In an embodiment, the controller determines the number of the preset detection time periods according to the preset detection time periods and the target detection time, wherein the controller correspondingly generates a physiological waveform template according to the physiological signal in each preset detection time period. The target detection time includes at least one preset detection time period. In an embodiment, the number of the preset detection time periods is obtained by dividing the target detection time by the duration of the preset detection time periods. The number of the preset detection time periods included in the target detection time can be calculated in other manners, for example, the number of the specific segments of the physiological signal, such as R-waves and P-waves of the electrocardiograph signal, is determined by detecting the number of the specific segments of the physiological signal through a counter, which is not limited herein.

In an embodiment, the process of generating a physiological waveform template by the controller according to the physiological signal in each preset detection time period specifically includes: the controller acquires at least two physiological waveform segments according to the physiological signal in each preset detection time period; the controller generates a physiological waveform template from the at least two physiological waveform segments. Further, optionally, the controller may further screen an initial physiological waveform segment within a preset detection time period, and determine the initial physiological waveform segment whose signal quality factor meets a preset condition as the physiological waveform segment. According to actual needs, the controller can also directly generate the physiological waveform template according to one physiological waveform segment. The physiological waveform segment is a waveform segment that constitutes a physiological waveform within a preset detection time period, and in some embodiments, the physiological waveform segment is a waveform of a preset duration, for example, a waveform of 1 second. In other embodiments, the physiological waveform segment is a physiological periodic waveform, i.e., a waveform of a complete physiological cycle of human tissue, which may include an electrocardiographic waveform segment, a respiratory waveform segment, etc. Taking the electrocardiographic signal as an example for explanation, a complete electrocardiographic waveform generated by a complete heart beating cycle is determined as an electrocardiographic waveform segment, and the electrocardiographic signal in a preset detection time period can generate one or at least two electrocardiographic waveform segments. It will be appreciated that this is related to the duration of the preset detection period. For example, when the duration of a complete electrocardiographic waveform is 1 second, if the preset detection time period is 1 second, the complete electrocardiographic waveform only includes one waveform segment; if the duration of the preset detection time period is 2 seconds, two waveform segments are included; if the duration of the preset detection time period is 10 seconds, 10 waveform segments are included. However, there is only one physiological waveform template generated within the preset detection period, no matter how many waveform segments are included. When the physiological signal is an electrocardiosignal, a method for generating a physiological waveform template by synthesizing at least two physiological waveform segments can be selected, because the positioning of each component in the electrocardiosignal waveform template is easily influenced by noise, and the method for generating the physiological waveform template by adopting the physiological waveform segments on at least two leads can enhance the anti-interference performance of an output result so as to be beneficial to extracting a target waveform analysis result and/or a target characteristic analysis result.

The following describes a case of generating a physiological waveform template from at least two physiological waveform segments by taking an electrocardiographic signal as an example. In one embodiment, the at least two physiological waveform segments are at least two electrocardiographic waveform segments generated from physiological signals acquired from the same lead of the patient. And obtaining the position detection results of P waves, QRS waves and T waves on each electrocardiographic waveform segment through the obtained at least two electrocardiographic waveform segments, and synthesizing the position detection results of the P waves, the QRS waves and the T waves to obtain the position detection results of the P waves, the QRS waves and the T waves on the electrocardiographic signal waveform template.

In an embodiment, the controller generates the physiological waveform template according to at least two physiological waveform segments by using a cluster analysis method or a weighted average method, and specifically, when the physiological waveform template is generated according to at least two physiological waveform segments, an algorithm used in the method is selected according to an actual situation, without specific limitation.

When the weighted average method is adopted, the method comprises the following steps: the controller carries out weighted average on the P, QRS and T wave position detection results in at least two physiological waveform segments to obtain position information after weighted average, and the position information after weighted average is determined as the P, QRS and T wave position detection results of the physiological waveform template.

When a cluster analysis method is adopted, the method comprises the following steps: reading the detection results of the P wave position, the QRS wave position and the T wave position in at least two physiological waveform segments; and comparing the detection results of the P wave position, the QRS wave position and the T wave position in at least two physiological waveform segments with the similarity conditions, and if the detection results of the P wave position, the QRS wave position and the T wave position which are relatively close to each other exist, namely the detection results of the P wave position, the QRS wave position and the T wave position which meet the similarity conditions, classifying the detection results into one class. The clustering analysis modes such as K mean value and the like can be adopted during comparison and classification; and selecting representative elements from the classification with the maximum capacity, and outputting the representative elements as the detection results of the P, QRS and T wave positions of the physiological waveform template. In one embodiment, the similarity condition may be that the difference between the two P, QRS, T wave position detection results is within ± 1%, and it is understood that the similarity condition may also be other ranges to define the similarity between at least two P, QRS, T wave position detection results.

In another embodiment, the process of generating a physiological waveform template by the controller according to the physiological signal in each preset detection time period specifically includes: the controller acquires a physiological waveform segment according to the physiological signal in each preset detection time period; the controller generates a physiological waveform template from a physiological waveform segment.

For determining the position information of the template waveform in one physiological waveform segment, the controller is further configured to determine the position information of the template waveform in the physiological waveform segment according to the initial waveform segment of the one or more at least two parameter obtainers in the same time period as the physiological waveform segment, so that the obtained morphology classification result is more accurate when the template model morphology is classified. Specifically, in an embodiment, the process of determining the position information of the template waveform in the physiological waveform segment by the controller is as follows: the controller acquires historical physiological signals on each signal acquisition channel in the same time period, and then generates at least one corresponding initial waveform segment according to the historical physiological signals on at least one signal acquisition channel; respectively detecting initial position information corresponding to an initial template waveform from each initial waveform segment; the controller determines position information of a template waveform in the physiological waveform segment according to the at least one initial position information. The determination method may be a statistical method such as a weighted average method or a cluster analysis method.

Taking an electrocardiosignal as an example for explanation, when a weighted average method is adopted, the method comprises the following steps: the controller analyzes the detection results of the P, QRS and T wave positions in the initial waveform segments on each signal acquisition channel to carry out weighted average to obtain position information after weighted average, and determines the position information after weighted average as the position detection results of the P, QRS and T waves of the physiological waveform segments. When the number of the initial waveform segments is large, and a clustering analysis method can be adopted, the method comprises the following steps: reading the detection results of the P wave position, the QRS wave position and the T wave position in at least two initial waveform segments; and comparing the position detection results of the P waves, the QRS waves and the T waves of the at least two auxiliary waveform segments with the similarity conditions, and classifying the results into one class if the position detection results of the P waves, the QRS waves and the T waves which are relatively close to each other, namely the position detection results of the P waves, the QRS waves and the T waves meeting the similarity conditions exist. The clustering analysis modes such as K mean value and the like can be adopted during comparison and classification; and selecting representative elements from the classification with the maximum capacity, and outputting the representative elements as the position detection results of P waves, QRS waves and T waves of the physiological waveform template. In one embodiment, the similarity condition may be that the difference between the two P, QRS, T wave position detection results is within ± 1%, and it is understood that the similarity condition may also be other ranges to define the similarity between at least two P, QRS, T wave position detection results.

That is, the initial position information of the template waveform in the initial waveform segment on each signal acquisition channel is synthesized to determine the position information of the template waveform in the physiological waveform template.

After the controller generates the physiological waveform template, the controller determines a target waveform analysis result and/or a target feature analysis result based on the physiological waveform template.

In one embodiment, the process of determining the target feature analysis result based on the physiological waveform template by the controller is as follows: the controller obtains physiological characteristic values according to the physiological waveform template, and analyzes the physiological characteristic values by using preset characteristic conditions to obtain physiological characteristic analysis results; or, further the controller obtains a characteristic change trend according to the at least two physiological characteristic analysis results, and classifies the characteristic change trend by using a preset characteristic trend condition to obtain a characteristic trend analysis result; thereafter, the controller determines at least one of the physiological characteristic analysis result or the characteristic trend analysis result as a target characteristic analysis result.

In one embodiment, the physiological characteristic values include: at least one of an amplitude value and a width value corresponding to the template waveform or an inter-period value of an adjacent template waveform in the template waveform is specifically selected according to an actual situation, and the embodiment of the present application is not specifically limited.

The process that the controller obtains the physiological characteristic value according to the physiological waveform template specifically comprises the following steps: the controller determines at least one of an amplitude value, a width value or an inter-period value of adjacent template waveforms in the template waveform from the physiological waveform template; the controller determines at least one of the amplitude value, the width value, or the interim value as a physiological characteristic value.

Illustratively, for electrocardiographic monitoring, the controller detects R waves in real time, judges the type of the R waves (normal heart beat, ventricular premature beat, atrial premature beat, etc.); according to a certain time sequence, after an electrocardiosignal segment with a specified length is read in every preset detection time period, an electrocardiosignal waveform template on each lead in the electrocardiosignal segment is calculated, all components of the electrocardiosignal waveform template, such as P waves, QRS waves, ST waves, T waves and the like, are identified, then, the controller calculates indexes such as QT intervals (interval values), widths (width values) of all components and amplitudes (amplitude values) of all components according to all component wave divisions of the electrocardiosignal waveform template, and determines the QT intervals, the widths of all components and the amplitudes of all components as physiological characteristic values.

In another embodiment, the controller determines the target waveform analysis result based on the physiological waveform template by: obtaining a template waveform according to a physiological waveform template, and classifying the template waveform form by using a preset waveform form to obtain a form classification result; or, further, obtaining a waveform variation trend according to at least two morphological classification results, and obtaining a waveform trend analysis result when the waveform variation trend meets a preset waveform trend condition; thereafter, the controller determines at least one of the morphology classification result or the waveform trend analysis result as a target waveform analysis result.

When the physiological waveform template is used for the electrocardiogram monitoring, the controller detects the position information of the waveform contained in the physiological waveform template to obtain the template waveform.

In one embodiment, the template waveform comprises: at least one of a P-wave waveform, a QRS-wave waveform, a T-wave waveform, or a U-wave waveform is specifically selected according to actual conditions, and the embodiment of the present application is not specifically limited.

Correspondingly, the process of acquiring the template waveform by the controller according to the physiological waveform template comprises the following steps: the controller determines at least one of the following as a template waveform from the physiological waveform template: a P-wave waveform, a QRS-wave waveform, a T-wave waveform, or a U-wave waveform.

Specifically, after the controller respectively acquires the preset model and the template waveform, the controller matches the template waveform form with the preset waveform form, and when the template waveform form is successfully matched with the preset waveform form, the controller determines the preset waveform form as a form classification result.

In an embodiment, in the electrocardiographic monitoring, the preset waveform shapes of the P wave and the T wave include low level, positive and negative directions, etc., the preset waveform shapes of the QRS wave include QS, qR, R, QRS, etc., the preset waveform shapes of the ST include horizontal lifting, upward inclined lifting, tombstone lifting, etc., and the controller may match the acquired template waveform shapes with the corresponding waveform shapes of the waves to determine the shape classification result of the template waveform shapes.

For example, as shown in fig. 5, in a scenario of electrocardiographic monitoring, a workflow of a controller acquiring a waveform template and a morphology classification result is specifically:

1. detecting R waves in real time on the input electrocardiographic waveforms;

2. judging the type of the detected R wave, such as normal pacing, ventricular premature beat, etc.;

3. reading in electrocardiosignals with specified length at intervals, and realizing the following steps:

3.1 screening out a target electrocardio segment with good quality in the appointed electrocardio segment;

3.2 generating a template waveform of the electrocardiosignal in the target electrocardio segment;

3.3 detecting the position information of P wave, QRS wave and T wave on each lead on the template waveform;

3.4 synthesizing the position information of P wave, QRS wave and T wave on each lead, and correcting the position calculation result on each lead;

and 3.5, calculating indexes such as amplitude, width and PR interval of each part, and classifying forms of each part. The morphology classification of the P wave and the T wave comprises low level, positive and negative two directions, positive direction, negative direction and the like, the QRS waveform morphology comprises QS, qR, QR, R, qRs and the like, and the ST morphology comprises horizontal lifting, upward inclined lifting, tombstone lifting and the like.

And 3.6, outputting index values such as the amplitude and the width of the waveforms such as the current heart rate, the P wave, the QRS wave, the ST interval, the T wave and the like on each lead and the morphological classification result of each waveform.

In the embodiment of the application, after the controller acquires the physiological characteristic value and/or the template waveform according to the physiological waveform template, the controller determines whether to send an information output instruction according to the physiological characteristic value and/or the template waveform, in the embodiment, the preset characteristic condition comprises a preset threshold value, the preset waveform condition comprises a disease waveform condition, the information output instruction comprises an alarm instruction, the controller respectively compares the physiological characteristic value with the preset threshold value and compares the template waveform with the disease waveform condition, when the physiological characteristic value meets the preset threshold value and the template waveform does not meet the disease waveform condition, the trend of the characteristic physiological parameter exceeds a normal range, but the morphological change does not meet the preset disease and the morphological change is not obvious, and at the moment, the controller does not send the alarm instruction; when the controller determines that the physiological characteristics do not meet the preset threshold value and the template waveform is combined with the disease waveform condition, the characteristic physiological parameter trend changes but does not exceed the normal range, and the waveform form obviously changes and accords with the typical evolution process when the preset disease appears. At this time, the controller issues an alarm command.

In another embodiment, the controller determines whether to issue the alarm command according to the physiological characteristic value and the waveform variation trend, specifically, the preset characteristic condition includes a preset threshold, the preset waveform trend condition includes a disease waveform evolution condition, and the process of issuing the alarm command according to the target waveform analysis result and the target characteristic analysis result by the controller is as follows: the controller respectively compares the physiological characteristic value with a preset threshold value, compares the waveform variation trend with the disease waveform evolution condition, and when the controller determines that the physiological characteristic does not meet the preset threshold value and the waveform variation trend accords with the disease waveform evolution condition, the characteristic physiological parameter trend changes but does not exceed the normal range, and the waveform variation trend accords with the typical evolution process when the preset disease appears, at the moment, the controller sends an alarm instruction.

In another embodiment, the controller determines whether to issue the alarm command according to the physiological characteristic value, the characteristic variation trend, the template waveform, and the waveform variation trend, specifically, the preset characteristic condition includes a preset threshold, the preset characteristic trend condition includes a disease index evolution condition, the preset waveform trend condition includes a disease waveform evolution condition, the preset waveform form includes a disease waveform condition, and the process of the controller issuing the alarm command according to the target waveform analysis result and the target characteristic analysis result is as follows: the controller compares the physiological characteristic value with a preset threshold value, when the controller determines that the physiological characteristic value does not meet the preset threshold value, the trend of the characteristic physiological parameter changes but does not exceed the normal range, at the moment, the terminal further judges whether a disease occurrence condition is met according to other three alarm logics, and when the controller determines at least one of the following steps, the controller sends an alarm instruction: firstly, the characteristic change trend meets the evolution condition of disease indexes; or secondly, analyzing the target waveform to obtain a template waveform which meets the evolution condition of the disease index; or, the target waveform analysis result shows that the waveform variation trend meets the disease waveform evolution condition. The controller determines whether the disease occurrence condition is met through at least one alarm network in the three alarm logics, so that the controller still judges that the alarm condition is met when the characteristic change trend, the template waveform and the waveform change trend meet the corresponding disease occurrence condition although the physiological characteristic value does not meet the preset threshold value.

It should be noted that, in the process of sending out the alarm instruction according to the target waveform analysis result and the target characteristic analysis result, since the physiological parameter corresponding to the physiological characteristic value can be a combined physiological parameter correlated with each other, the controller can judge whether the physiological parameter meets the alarm condition according to the related parameter, specifically, when the controller judges that the analysis result (including the physiological characteristic value, the characteristic change trend, the template waveform and the waveform change trend) corresponding to the parameter 1 in the combined parameter meets the alarm condition (including the preset characteristic condition, the preset characteristic trend condition, the preset waveform trend condition and the preset waveform form), the controller confirms the analysis result of the related parameter, if the analysis result of the related parameter is also over the alarm condition, the alarm instruction is sent out, if the analysis result of the related parameter is not over the alarm condition, the alarm command is cancelled.

It should be noted that, if the analysis result of the parameter 1 in the combined physiological parameter significantly exceeds the alarm condition, the alarm threshold of the relevant parameter is appropriately reduced, and at this time, although the analysis result of the relevant parameter may not significantly exceed the alarm threshold, since the change of the parameter 1 is significantly taken as a corroboration, the alarm instruction of the relevant parameter can be given in advance, and thus, the influence of the analysis result of the relevant parameter on the analysis result of the parameter 1 can be reduced.

In the embodiment of the present application, the alarm command may be composed of the disease type and the form change, such as: elevation of myocardial ischemia type ST, elevation of early repolarization type ST, and the like.

And S103, the output device receives the information output instruction and outputs prompt information.

In one embodiment, the information output instruction includes at least one of a data information output instruction, a waveform information output instruction, and an alarm information output instruction. The prompt message comprises at least one of data message, waveform message and alarm message.

And after the controller sends an information output instruction according to the target waveform analysis result and/or the target characteristic analysis result, the output device receives the information output instruction and outputs prompt information.

In the embodiment of the application, the output device comprises a display interface, and the output device at least displays the target waveform analysis result and/or the prompt information generated by the target characteristic analysis result on the display interface.

In one embodiment, the division of the display area of the display interface for displaying the prompt message includes the following modes: the output device displays prompt information in a first display area of a display interface; or the output device displays the physiological waveform template or the template waveform in a second display area of the display interface; or, the output device displays at least one of the target waveform analysis result or the target feature analysis result in a third display area of the display interface, and the specific selection is performed according to the actual situation.

Specifically, the way that the output device displays the target feature analysis result on the display interface is as follows: and when the target characteristic analysis result is a characteristic trend analysis result, displaying a characteristic trend graph generated according to the characteristic change trend by the output device.

Specifically, the way that the output device displays the target waveform analysis result on the display interface is as follows: when the target waveform analysis result includes the waveform trend analysis result, the output unit displays a waveform trend graph generated by the waveform variation trend.

It should be noted that, in S102, after the controller compares the physiological characteristic value with the preset threshold, when the controller determines that the physiological characteristic value satisfies the preset threshold, the output unit extends the observation window on the display interface when the controller determines at least one of the following conditions: the characteristic variation trend does not meet the disease index evolution condition; or, the target waveform analysis result is that the template waveform does not accord with the evolution condition of the disease index; or when the target waveform analysis result shows that the waveform variation trend does not accord with the disease waveform evolution condition.

Further, not only can present prompt information be displayed on the display interface, but also historical prompt information can be displayed, specifically, a callback button is displayed in a fourth display area of the display interface, when the monitoring device receives an operation instruction of the callback button, the controller adjusts the prompt information displayed by the display according to the operation instruction, wherein the operation instruction of the callback button includes a selection instruction of the historical prompt information, and at this moment, the controller adjusts the prompt information displayed by the display according to the operation instruction, and the prompt information can be: the controller controls the display to display at least one of a physiological waveform template, a target waveform analysis result or a target feature analysis result corresponding to the historical prompt information after receiving the selection instruction.

Exemplarily, as shown in fig. 6, a layout of a window area of a display interface of a monitor is provided, and a current alarm statement (current prompt information) is displayed in an alarm statement display area; when the electrocardio is monitored, the current electrocardio template waveform on each lead is displayed in a physiological signal template waveform display area, and the position information of components such as P waves, QRS waves, T waves, ST sections and the like is marked; displaying the analysis result of the electrocardiographic waveform in a template waveform morphology analysis result display area, wherein the analysis result comprises indexes such as partial widths, interval values, amplitudes and the like of a P wave, a QRS wave, a T wave and the like and morphology classification results; the monitor display interface is also provided with a callback button, when the monitor receives touch operation on the callback button, a new window can be popped up to display a completed alarm statement list, after any alarm statement is selected, the interface can be further popped up, and index change curves and dynamic change processes of the electrocardiosignal waveform template in a period of time before and after the occurrence moment of the alarm statement are displayed on the interface.

The monitoring device determines the change trend of the physiological signal and the form classification of the physiological waveform according to the physiological waveform template, and then the monitoring device judges whether the evolution process of the disease is met or not by combining the form classification of the physiological waveform and the change trend of the physiological waveform, so as to send an alarm, thereby improving the anti-interference performance of the alarm.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Industrial applicability

The monitoring equipment determines the change trend of the physiological signal and/or the form classification of the physiological waveform according to the physiological waveform template, and then judges whether the evolution process of the disease is met or not by utilizing the form classification of the physiological waveform, the form change trend of the physiological signal, the characteristic value of the physiological signal, the change trend of the characteristic value of the physiological signal and other multiple angles, and then sends out an alarm, so that the anti-interference performance of the alarm can be improved, the false alarm and the missing alarm are reduced, and the timeliness of the alarm is improved.

Claims

A monitoring device, the device comprising:

the first acquisition module is used for acquiring electrocardiosignals within target detection time when the target detection time is reached;

the processing module is used for acquiring the electrocardiosignals from the first acquisition module; generating an electrocardiosignal waveform template according to the electrocardiosignals, and obtaining a target waveform analysis result and/or a target parameter characteristic result according to the electrocardiosignal waveform template;

the output module is used for outputting prompt information according to the target waveform analysis result and/or the target parameter characteristic result;

wherein, when the processing module only obtains the target parameter feature result according to the electrocardiosignal waveform template, the processing module is further configured to: and obtaining an electrocardio characteristic value according to the electrocardio signal waveform template, analyzing the electrocardio characteristic value by using a preset characteristic condition to obtain an electrocardio characteristic analysis result, further obtaining a characteristic change trend according to at least two electrocardio characteristic analysis results, classifying the characteristic change trend by using a preset characteristic trend condition to obtain a characteristic trend analysis result, and determining the characteristic trend analysis result as the target parameter characteristic result.
The apparatus of claim 1, wherein the processing module comprises a calculation module, an analysis module, and a determination module;

the calculation module is further used for determining the number of the preset detection time periods according to the preset detection time periods and the target detection time, wherein an electrocardiosignal waveform template is correspondingly generated according to the electrocardiosignals in each preset detection time period;

the analysis module is used for performing at least one of the following operations: obtaining the electrocardio characteristic value according to the electrocardio signal waveform template, and analyzing the electrocardio characteristic value by utilizing the preset characteristic condition to obtain an electrocardio characteristic analysis result; or the like, or, alternatively,

obtaining the electrocardio characteristic values according to the electrocardio signal waveform template, analyzing the electrocardio characteristic values by using preset characteristic conditions to obtain electrocardio characteristic analysis results, further obtaining characteristic variation trends according to at least two electrocardio characteristic analysis results, and classifying the characteristic variation trends by using the preset characteristic trend conditions to obtain characteristic trend analysis results; or the like, or, alternatively,

the template waveform is obtained according to the electrocardiosignal waveform template, and the template waveform morphology is classified by utilizing a preset waveform morphology to obtain a morphology classification result; or the like, or, alternatively,

the waveform analysis module is used for obtaining a template waveform according to the electrocardiosignal waveform template, classifying the template waveform morphology by using a preset waveform morphology to obtain a morphology classification result, further obtaining a waveform variation trend according to at least two morphology classification results, and obtaining a waveform trend analysis result when the waveform variation trend meets a preset waveform trend condition;

the determining module is used for determining one of the electrocardio characteristic analysis result and/or the characteristic trend analysis result as a target characteristic analysis result; and determining the form classification result and/or the waveform trend analysis result as a target waveform analysis result.
The device of claim 2, wherein the computing module is further to: acquiring at least two electrocardiographic waveform segments according to the electrocardiographic signals in each preset detection time period;

and generating the electrocardiosignal waveform template according to the at least two electrocardio waveform segments.
The device of claim 3, wherein the computing module is further to: and generating the electrocardiosignal waveform template according to the at least two electrocardio waveform segments by adopting a cluster analysis method or a weighted average method.
The apparatus of claim 2, wherein the analysis module further comprises a detection module;

the detection module is used for detecting the position information of the template waveform in the electrocardiosignal waveform template so as to obtain the template waveform.
The apparatus of claim 5, wherein the analysis module comprises: a generation module and a correction module;

the generating module is used for acquiring historical electrocardiosignals of at least two signal acquisition channels in the same preset detection time period as the electrocardiosignal waveform template and generating an initial electrocardiosignal waveform template according to the historical electrocardiosignals;

the detection module is used for detecting initial position information corresponding to the template waveform in the initial electrocardiosignal waveform template;

and the correcting module is used for correcting the position information of the template waveform according to the at least two initial position information.
The apparatus of claim 2, wherein the analysis module further comprises: a first determination module;

the first determining module is configured to determine, from the electrocardiograph signal waveform template, at least one of an amplitude value and a width value corresponding to the template waveform or an inter-period value of an adjacent template waveform in the template waveform; determining at least one of the amplitude value, the width value or the interim value as the electrocardiogram characteristic value.
The apparatus of claim 2, wherein the analysis module further comprises: a second determining module, configured to determine, from the cardiac signal waveform template, at least one of the following waveforms as a template waveform: a P-wave waveform, a QRS-wave waveform, a T-wave waveform, or a U-wave waveform.
The apparatus of claim 2, wherein the analysis module comprises a second determination module for determining the preset waveform condition as the morphology classification result when the template waveform morphology and the preset waveform morphology are successfully matched.
The apparatus of claim 1, wherein the apparatus further comprises: a display module;

and the display module is used for at least displaying prompt information generated according to the target waveform analysis result and the target characteristic analysis result on a display interface.
A method of monitoring, the method comprising:

acquiring physiological signals of a monitored object through a signal acquirer;

automatically executing, by a controller, the steps of: acquiring the physiological signal from the signal acquirer, generating a physiological waveform template according to the physiological signal in target detection time when the target detection time is up, and acquiring a target waveform analysis result and/or a target characteristic analysis result according to the physiological waveform template; sending an information output instruction according to the target waveform analysis result and/or the target characteristic analysis result;

the output device receives the information output instruction and outputs prompt information;

wherein when the controller obtains only the target parameter feature result from the physiological signal waveform template, the method further comprises: executing, by a controller, the steps of: and obtaining physiological characteristic values according to the physiological signal waveform template, analyzing the physiological characteristic values by using preset characteristic conditions to obtain physiological characteristic analysis results, further obtaining characteristic variation trends according to at least two physiological characteristic analysis results, classifying the characteristic variation trends by using preset characteristic trend conditions to obtain characteristic trend analysis results, and determining the characteristic trend analysis results as the target parameter characteristic results.
The method according to claim 11, wherein the generating a physiological waveform template according to the physiological signal in the target detection time when the target detection time arrives, and obtaining a target waveform analysis result and/or a target feature analysis result according to the physiological waveform template comprises:

determining the number of preset detection time periods according to the preset detection time periods and the target detection time, wherein a physiological waveform template is correspondingly generated according to a physiological signal in each preset detection time period, and at least one of the following steps is executed;

obtaining an electrocardio characteristic value according to the physiological waveform template, and analyzing the electrocardio characteristic value by using a preset characteristic condition to obtain an electrocardio characteristic analysis result; or the like, or, alternatively,

obtaining an electrocardio characteristic value according to the physiological waveform template, analyzing the electrocardio characteristic value by using a preset characteristic condition to obtain an electrocardio characteristic analysis result, further obtaining a characteristic change trend according to at least two electrocardio characteristic analysis results, and classifying the characteristic change trend by using a preset characteristic trend condition to obtain a characteristic trend analysis result; or the like, or, alternatively,

the physiological waveform template is used for obtaining template waveforms according to the physiological waveform template, and the template waveform forms are classified by utilizing preset waveform forms to obtain form classification results; or the like, or, alternatively,

the physiological waveform template is used for obtaining template waveforms according to the physiological waveform template, classifying the template waveform forms by utilizing preset waveform forms to obtain form classification results, further obtaining a waveform variation trend according to at least two form classification results, and obtaining a waveform trend analysis result when the waveform variation trend meets the preset waveform trend condition;

when the target detection time arrives, generating a physiological waveform template according to a physiological signal in the target detection time, and obtaining a target waveform analysis result and/or a target characteristic analysis result according to the physiological waveform template, further comprising: determining at least one of the physiological characteristic analysis result or the characteristic trend analysis result as the target characteristic analysis result; and/or determining at least one of the morphology classification result or the waveform trend analysis result as the target waveform analysis result.
The method according to claim 12, wherein the generating a physiological waveform template according to the physiological signal in each preset detection time period comprises:

acquiring at least two physiological waveform segments according to the physiological signals in each preset detection time period;

and generating a physiological waveform template according to the at least two physiological waveform segments.
The method of claim 13, wherein the generating a physiological waveform template from the at least two physiological waveform segments comprises:

and generating a physiological waveform template according to the at least two physiological waveform segments by adopting a cluster analysis method or a weighted average method.
The method according to claim 12, wherein the classifying the morphology of the physiological waveform template by using the preset waveform condition to obtain a morphology classification result comprises:

and detecting the position information of the template waveform contained in the physiological waveform template to acquire the template waveform.
The method of claim 15, wherein the method further comprises:

acquiring historical physiological signals on at least one signal acquisition channel in the same time period as the physiological waveform template, and generating an initial physiological waveform template according to the historical physiological signals;

detecting initial position information corresponding to the template waveform in the initial physiological waveform template;

and obtaining the position information of the template waveform in the physiological waveform template according to the initial position information of the at least one signal acquisition channel.
The method of claim 12, wherein the deriving physiological characteristic values from the physiological waveform template comprises:

determining at least one of an amplitude value, a width value or an inter-period value of adjacent template waveforms in the template waveform corresponding to the template waveform from the physiological waveform template;

determining at least one of the amplitude value, width value, or inter-period value as the physiological characteristic value.
The method of claim 12, wherein the classifying the template waveform shape by a preset waveform shape to obtain a shape classification result comprises:

and when the template waveform form and the preset waveform form are successfully matched, determining the preset waveform form as the form classification result.
The method of claim 12, wherein the obtaining a template waveform from the physiological waveform template comprises: determining at least one of the following as a template waveform from the physiological waveform template: a P-wave waveform, a QRS-wave waveform, a T-wave waveform, or a U-wave waveform.
The method of claim 12, wherein the preset characteristic condition comprises a preset threshold, the preset waveform condition comprises a disease waveform condition, the information output instruction comprises an alarm instruction, the method further comprising:

and when the physiological characteristic value meets a preset threshold value but the template waveform does not meet the disease waveform condition, not sending an alarm instruction.
The method according to claim 12, wherein the preset characteristic condition comprises a preset threshold, the preset waveform condition comprises a disease waveform condition, and the issuing of the information output instruction according to the target waveform analysis result and/or the target characteristic analysis result comprises;

and when the physiological characteristics do not meet the preset threshold value and are determined to be the target characteristic analysis result and the template waveform meets the disease waveform condition and is determined to be the target waveform analysis result, sending an alarm instruction.
The method according to claim 12, wherein the preset feature condition comprises a preset threshold, the preset waveform trend condition comprises a disease waveform evolution condition, and the issuing of the information output instruction according to the target waveform analysis result and/or the target feature analysis result comprises;

and when the physiological characteristics do not meet the preset threshold value and are determined as the target characteristic analysis result and the waveform variation trend meets the disease waveform evolution condition and is determined as the target waveform analysis result, sending an alarm instruction.
The method according to claim 12, wherein the preset feature condition comprises a preset threshold, the preset feature trend condition comprises a disease index evolution condition, the preset waveform trend condition comprises a disease waveform evolution condition, the preset waveform form comprises a disease waveform condition, and the sending of the information output instruction according to the target waveform analysis result and/or the target feature analysis result comprises;

determining that the physiological characteristic value does not meet the preset threshold value, and when at least one step is determined, sending an alarm instruction:

the characteristic change trend meets the disease index evolution condition; or the like, or, alternatively,

the target waveform analysis result indicates that the template waveform meets the evolution condition of the disease index; or the like, or, alternatively,

and the target waveform analysis result indicates that the waveform variation trend meets the disease waveform evolution condition.
The method of claim 11, wherein the outputting the prompt message comprises:

and at least displaying prompt information generated according to the target waveform analysis result and/or the target feature analysis result on a display interface.
The method according to claim 24, wherein the displaying at least prompt information generated from the target waveform analysis result and/or the target feature analysis result on a display interface includes at least one of:

displaying the prompt information in a first display area of the display interface; or

Displaying the physiological waveform template or the template waveform in a second display area of the display interface; or

And displaying at least one of the target waveform analysis result or the target feature analysis result in a third display area of the display interface.
The method of claim 25, wherein the displaying at least prompt information generated from the target waveform analysis result and/or the target feature analysis result on a display interface further comprises:

and displaying a callback button in a fourth display area, and when receiving an operation instruction of the callback button, adjusting the prompt information displayed by the display by the controller according to the operation instruction.
The method of claim 26, wherein the operating instructions include a selection instruction for historical cue information, the controller further configured to control the display to display at least one of the physiological waveform template, the target waveform analysis result, or the target feature analysis result corresponding to the historical cue information upon receiving the selection instruction.
The method of claim 12, wherein the outputting the prompt message comprises:

and when the target feature analysis result is the feature trend analysis result, displaying a feature trend graph generated according to the feature variation trend.
The method of claim 12, wherein the outputting a prompt message comprises; and when the target waveform analysis result comprises the waveform trend analysis result, displaying a waveform trend graph generated by the waveform variation trend.
The method of claim 23, wherein the method further comprises: when the physiological characteristic value meets a preset threshold value, and at least one of the following conditions is determined, extending an observation window on a display interface:

the characteristic change trend does not satisfy the disease index evolution condition; or the like, or, alternatively,

the target waveform analysis result indicates that the template waveform does not accord with the evolution condition of the disease index; or

And the target waveform analysis result is when the waveform variation trend does not accord with the disease waveform evolution condition.
A monitoring device, the device comprising:

the signal acquirer is used for acquiring a physiological signal within target detection time when the target detection time arrives;

a controller for acquiring the physiological signal from the signal acquirer; generating a physiological signal waveform template according to the physiological signal, obtaining a target waveform analysis result and/or a target parameter characteristic result according to the physiological signal waveform template, and outputting an information output instruction according to the target waveform analysis result and/or the target parameter characteristic result;

the output device outputs prompt information when receiving the information output instruction;

wherein when the controller obtains only the target parameter feature result from the physiological signal waveform template, the controller is further configured to: and obtaining physiological characteristic values according to the physiological signal waveform template, analyzing the physiological characteristic values by using preset characteristic conditions to obtain physiological characteristic analysis results, further obtaining characteristic variation trends according to at least two physiological characteristic analysis results, classifying the characteristic variation trends by using preset characteristic trend conditions to obtain characteristic trend analysis results, and determining the characteristic trend analysis results as the target parameter characteristic results.
The apparatus of claim 31, wherein the controller is further configured to: determining the number of preset detection time periods according to the preset detection time periods and the target detection time, wherein a physiological waveform template is correspondingly generated according to the physiological signal in each preset detection time period;

obtaining a physiological characteristic value according to the physiological waveform template, and analyzing the physiological characteristic value by using a preset characteristic condition to obtain a physiological characteristic analysis result; or further obtaining a characteristic change trend according to at least two physiological characteristic analysis results, and classifying the characteristic change trend by using a preset characteristic trend condition to obtain a characteristic trend analysis result;

obtaining a template waveform according to the physiological waveform template, and classifying the template waveform form by using a preset waveform form to obtain a form classification result; or, further, obtaining a waveform variation trend according to at least two form classification results, and obtaining a waveform trend analysis result when the waveform variation trend meets a preset waveform trend condition;

the controller is further configured to: determining at least one of the physiological characteristic analysis result or the characteristic trend analysis result as a target characteristic analysis result; and/or determining at least one of the morphology classification result or the waveform trend analysis result as a target waveform analysis result.
The apparatus of claim 32, wherein the controller is further configured to obtain at least two physiological waveform segments from the physiological signal within each preset detection period;

and generating a physiological waveform template according to the at least two physiological waveform segments.
The apparatus of claim 33, wherein the controller is further configured to generate a physiological waveform template from the at least two physiological waveform segments using cluster analysis or weighted averaging.
The apparatus of claim 32, wherein the controller is further configured to detect location information of a template waveform included in the physiological waveform template to obtain the template waveform.
The apparatus of claim 35, wherein the controller is further configured to:

acquiring historical physiological signals on at least one signal acquisition channel in the same time period as the physiological waveform template, and generating an initial physiological waveform template according to the historical physiological signals;

detecting initial position information corresponding to the template waveform in the initial physiological waveform template;

and obtaining the position information of the template waveform in the physiological waveform template according to the initial position information on the at least one signal acquisition channel.
The apparatus of claim 32, wherein the controller is further configured to:

determining at least one of an amplitude value, a width value or an inter-period value of adjacent template waveforms in the template waveform corresponding to the template waveform from the physiological waveform template; determining at least one of the amplitude value, width value, or inter-period value as the physiological characteristic value.
The apparatus of claim 33, wherein the controller is further configured to:

and when the template waveform form and the preset waveform form are successfully matched, determining the preset waveform condition as the form classification result.
The apparatus of claim 35, wherein the controller is further configured to: determining at least one of the following as a template waveform from the physiological waveform template: a P-wave waveform, a QRS-wave waveform, a T-wave waveform, or a U-wave waveform.
The apparatus of claim 32, wherein the preset characteristic condition comprises a preset threshold, the preset waveform condition comprises a disease waveform condition, the information output instruction comprises an alarm instruction, the controller is further configured to:

and when the physiological characteristic value meets a preset threshold value but the template waveform does not meet the disease waveform condition, not sending an alarm instruction.
The apparatus of claim 32, wherein the preset characteristic condition comprises a preset threshold, the preset waveform condition comprises a disease waveform condition, the information output instruction comprises an alarm instruction, the controller is further to;

and when the physiological characteristics do not meet the preset threshold value and are determined to be the target characteristic analysis result and the template waveform meets the disease waveform condition and is determined to be the target waveform analysis result, sending an alarm instruction.
The apparatus of claim 32, wherein the preset characteristic condition comprises a preset threshold, the preset waveform trend condition comprises a disease waveform evolution condition, the information output instruction comprises an alarm instruction, the controller is further configured to;

and when the physiological characteristics do not meet the preset threshold value and are determined as the target characteristic analysis result and the waveform variation trend meets the disease waveform evolution condition and is determined as the target waveform analysis result, sending an alarm instruction.
The apparatus of claim 32, wherein the preset feature condition comprises a preset threshold, the preset feature trend condition comprises a disease indicator evolution condition, the preset waveform trend condition comprises a disease waveform evolution condition, the preset waveform morphology comprises a disease waveform condition, the information output instruction comprises an alarm instruction, and the controller is further configured to;

determining that the physiological characteristic value does not meet the preset threshold value, and when at least one step is determined, sending an alarm instruction:

the characteristic change trend meets the disease index evolution condition; or the like, or, alternatively,

the target waveform analysis result indicates that the template waveform meets the evolution condition of the disease index; or the like, or, alternatively,

and the target waveform analysis result indicates that the waveform variation trend meets the disease waveform evolution condition.
The apparatus of claim 31, wherein the output comprises a display interface, the controller further to:

and at least displaying prompt information generated according to the target waveform analysis result and/or the target characteristic analysis result on a display interface.
The apparatus of claim 44, wherein the controller is further configured to:

displaying the prompt information in a first display area of the display interface; or

Displaying a physiological waveform template or the template waveform in a second display area of the display interface; or

And displaying at least one of the target waveform analysis result or the target feature analysis result in a third display area of the display interface.
The apparatus of claim 45, wherein the controller is further configured to:

and displaying a callback button in a fourth display area, and when receiving an operation instruction of the callback button, adjusting the prompt information displayed by the display by the controller according to the operation instruction.
The apparatus according to claim 46, wherein the operating instructions include a selection instruction for historical cue information, the controller further configured to control the display to display at least one of the physiological waveform template, the target waveform analysis result, or the target feature analysis result corresponding to the historical cue information upon receiving the selection instruction.
The apparatus of claim 32, wherein the outputter is further configured to: and when the target feature analysis result is the feature trend analysis result, displaying a feature trend graph generated according to the feature variation trend.
The apparatus of claim 32, wherein the outputter is further configured to: and when the target waveform analysis result comprises the waveform trend analysis result, displaying a waveform trend graph generated by the waveform variation trend.
The apparatus of claim 43, wherein the output comprises a display interface; when the physiological characteristic value meets a preset threshold value, and at least one of the following conditions is determined, extending an observation window on a display interface:

the characteristic change trend does not satisfy the disease index evolution condition; or the like, or, alternatively,

the target waveform analysis result indicates that the template waveform does not accord with the evolution condition of the disease index; or

And the target waveform analysis result indicates that the waveform variation trend does not accord with the disease waveform evolution condition.
A computer-readable storage medium, on which a computer program is stored for use in a monitoring device, which computer program, when being executed by a processor, carries out the method according to any one of the claims 11-30.