CN116369850A - Patient monitoring device and alarm event analysis method - Google Patents

Patient monitoring device and alarm event analysis method Download PDF

Info

Publication number
CN116369850A
CN116369850A CN202310003628.6A CN202310003628A CN116369850A CN 116369850 A CN116369850 A CN 116369850A CN 202310003628 A CN202310003628 A CN 202310003628A CN 116369850 A CN116369850 A CN 116369850A
Authority
CN
China
Prior art keywords
alarm
event
statistics
atrial fibrillation
physiological parameter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310003628.6A
Other languages
Chinese (zh)
Inventor
关则宏
苏健伟
孙泽辉
刘三超
何先梁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Mindray Bio Medical Electronics Co Ltd
Original Assignee
Shenzhen Mindray Bio Medical Electronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Mindray Bio Medical Electronics Co Ltd filed Critical Shenzhen Mindray Bio Medical Electronics Co Ltd
Publication of CN116369850A publication Critical patent/CN116369850A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The application discloses a patient monitoring device and an analysis method of alarm events, the patient monitoring device comprises: the device comprises a signal acquisition unit, a memory, a processor and a display, wherein the signal acquisition unit is used for acquiring physiological parameter signals of at least one physiological parameter; the processor is used for analyzing the physiological parameter signals to obtain analysis results, and comparing the analysis results with alarm rules to generate alarm events; the display is used for presenting at least one part of alarm events in a real-time alarm manner; the processor is further configured to: counting the alarm events occurring in a preset alarm statistics interval to obtain alarm statistics information of the preset alarm statistics interval, wherein the alarm statistics information reflects the disease development condition of a patient; the display is also used for outputting alarm statistical information. The alarm event can be counted no matter whether the alarm switch is set to be on or off, and the alarm counting and the unbinding of the alarm setting switch are realized.

Description

Patient monitoring device and alarm event analysis method
Technical Field
The present application relates to the field of medical devices, and in particular, to a patient monitoring device and an alarm event analysis method.
Background
When the monitoring equipment monitors a patient, physiological alarm is generated according to the physiological characteristic change of the patient, technical alarm is generated according to the use state of the equipment, and meanwhile, a statistical report is formed according to the use condition of a period of time, for example, statistics is performed based on the physiological alarm of the patient, so that an illness overview statistical report is formed, and the illness development condition of the patient is reflected; and counting based on equipment technology alarm to form a monitoring state overview statistical report, wherein the statistical report reflects the use condition of monitoring parameters of equipment.
When the physiological parameters are monitored, the medical care can turn off certain physiological alarm switches according to actual clinical needs, so that meaningless physiological alarms are reduced, the alarm frequency is reduced, the alarm fatigue problem is reduced, and the alarm statistics can be influenced: because the physiological alarm switch is turned off, the monitoring device does not respond to the physiological alarm, for example, does not analyze and/or present the physiological alarm, and therefore, in the subsequent process of carrying out alarm statistics on the alarm in the historical time period, the alarm statistics on the physiological alarm cannot be carried out, and the condition overview situation related to the physiological alarm cannot be reflected in the condition overview report.
Disclosure of Invention
An object of an embodiment of the present application is to provide a patient monitoring device.
In one aspect, the present application provides a patient monitoring device comprising:
a signal acquisition unit for acquiring a physiological parameter signal of at least one physiological parameter;
a memory for storing executable program instructions and for storing alarm rules based on the physiological parameter;
the processor is used for analyzing the physiological parameter signals to obtain analysis results, and comparing the analysis results with the alarm rules to generate alarm events;
the display is used for presenting at least one part of the alarm events in a real-time alarm mode, wherein when an alarm switch corresponding to a first part of the alarm events is set to be on, alarm information related to the first part of the alarm events is output; when an alarm switch corresponding to a second part of the alarm event is set to be in an alarm off state, alarm information related to the second part of the alarm event is not output;
the processor is further configured to:
acquiring an output alarm statistical instruction input by a user;
counting the alarm events occurring in a preset alarm counting interval to obtain alarm counting information of the preset alarm counting interval, wherein the alarm counting information reflects the disease development condition of the patient;
The display is also used for outputting the alarm statistical information.
In some embodiments, the alarm statistics are used to present the number of occurrences, duration duty cycles, and/or maximum single duration of the alarm event for one or more unit times within a preset alarm statistics interval.
In some embodiments, the alarm information includes a start time and an end time of the occurrence of the alarm event, and the processor is configured to obtain the alarm statistics based on the start time, the end time, and the unit time of the occurrence of the alarm event.
In some embodiments, the alert statistics further include at least one of: the total number, the accumulated time length, the maximum single duration and/or the duty ratio of the accumulated time length of the alarm events in the preset alarm statistics interval occur in the preset alarm statistics interval.
In some embodiments, the alarm information includes a start time and an end time of occurrence of the alarm event, and the processor is configured to obtain the alarm statistics based on the start time and the end time of occurrence of the alarm event.
In some embodiments, the physiological parameter comprises an electrocardiograph, the physiological parameter signal comprises an electrocardiograph signal, the alarm event comprises an atrial fibrillation event, and the alarm statistics comprise one of an atrial fibrillation load, an atrial fibrillation number, an atrial fibrillation cumulative duration, a longest sustained atrial fibrillation duration, or any combination thereof generated in the preset alarm statistics interval.
In some embodiments, the alarm statistics further comprise an atrial fibrillation load for one or more units of time over the preset alarm statistics interval and/or a mean value of atrial fibrillation loads over the preset alarm statistics interval.
In some embodiments, the alert information includes an alert string characterizing the alert event, and the predetermined presentation includes the display displaying the alert string at a predetermined alert level.
In some embodiments, when the alarm event is a atrial fibrillation event, the alarm statistics include the number of occurrences and/or duration of QT interval prolonged alarms during the atrial fibrillation event; or alternatively
The alarm statistics include the number of occurrences of RR long intervals during the atrial fibrillation event.
In some embodiments, when the alarm event comprises an abnormal-rhythmic alarm event, the alarm statistics further comprise abnormal-rhythmic duration of the preset alarm statistics interval, the abnormal-rhythmic alarm event comprising one of: premature ventricular bivalve, premature ventricular trigeminal rhythm, premature atrial bivalve, and premature atrial trigeminal rhythm.
In some embodiments, the display is for displaying an alarm overview view for presenting the alarm statistics.
In some embodiments, when the alarm event is a first alarm event, the first alarm event is generated based on analysis of a first physiological parameter of the at least one physiological parameter, the at least one physiological parameter further includes a second physiological parameter different from the first physiological parameter, alarm statistics of the first alarm event and statistics of the second physiological parameter are displayed simultaneously in an associated presentation in the alarm overview view, and statistics of the second physiological parameter are obtained from the acquired analysis of the second physiological parameter signal.
In some embodiments, the first alarm event is an atrial fibrillation event, the first physiological parameter is an electrocardiographic parameter, the second physiological parameter is a heart rate, and the statistical information of the second physiological parameter includes at least one of: a mean value of the heart rate per unit time during the atrial fibrillation event, a mean value of the heart rate during the atrial fibrillation event, a heart rate maximum value, or a heart rate minimum value.
In some embodiments, the mean value of the heart rate over one or more unit times during the atrial fibrillation event is presented in the form of a trend graph.
In some embodiments, the alarm statistics further include atrial fibrillation load in one or more unit time within the preset alarm statistics interval presented in a form of a statistics chart, and the alarm overview view is further configured to jointly display the trend graph corresponding to the average value of the heart rate and the statistics graph corresponding to the atrial fibrillation load.
In some embodiments, the alarm overview is further configured to display a waveform of the second physiological parameter signal corresponding to the preset alarm statistics interval, and identify, in a preset identification manner, an area of the waveform corresponding to the period of occurrence of the atrial fibrillation event.
In some embodiments, the alarm statistics are displayed in the alarm overview view in the form of text, numerical values, and/or icons.
In some embodiments, the display further has a monitoring main interface for displaying the physiological parameter signal and/or presenting the alarm information related to the first portion of the alarm event in real time.
In yet another aspect, the present application provides a method for analyzing an alarm event, the method comprising:
acquiring a physiological parameter signal of at least one physiological parameter;
analyzing the physiological parameter signals to obtain analysis results, and comparing the analysis results with the alarm rules to generate alarm events;
presenting at least one part of the alarm events in a real-time alarm mode, wherein when an alarm switch corresponding to a first part of the alarm events is set to alarm on, alarm information related to the first part of the alarm events is output; when an alarm switch corresponding to a second part of the alarm event is set to be in an alarm off state, alarm information related to the second part of the alarm event is not output;
Acquiring an output alarm statistical instruction input by a user;
counting the alarm events occurring in a preset alarm counting interval to obtain alarm counting information of the preset alarm counting interval, wherein the alarm counting information reflects the disease development condition of the patient;
and outputting the alarm statistical information.
The monitoring equipment and the analysis method can analyze and count the alarm event no matter whether the alarm switch is set to be on or off, and realize the unbinding of the alarm statistics and the alarm setting switch, so that more detailed alarm statistics information can be provided, a user can review and check the statistics information conveniently, medical staff can know the development condition of the patient through the alarm statistics information, and a doctor can adjust a treatment scheme according to the development condition of the patient condition conveniently. And the monitor of the monitoring device can still present the alarm event that the alarm switch is set to alarm on in real time, but does not present the alarm event that the alarm switch is set to alarm on, so that meaningless alarms are reduced, the alarm frequency is reduced, the alarm fatigue problem is reduced, and meanwhile, the integrity of alarm statistical information in alarm statistics is ensured.
Drawings
For a clearer description of the solution in the present application, a brief description will be given below of the drawings that are needed in the description of the embodiments of the present application, it being obvious that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 shows a schematic block diagram of a monitoring device in one embodiment of the present application;
FIG. 2 illustrates a diagram showing a comparison of alarm switch status presented in the time dimension with the occurrence of an alarm event;
FIG. 3 shows a schematic diagram of not outputting an alarm when the alarm setting switch corresponding to the atrial fibrillation alarm is alarm off;
FIG. 4 shows a schematic diagram of real-time output of an alarm when the alarm setting switch corresponding to the atrial fibrillation alarm is alarm on;
FIG. 5 illustrates a schematic diagram of an atrial fibrillation statistic synthesis view in one embodiment of the application;
FIG. 6 illustrates a schematic diagram of an overview control in one embodiment of the present application;
FIG. 7 illustrates a schematic flow chart of a method of analyzing an alarm event in one embodiment of the present application.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description and claims of the present application and in the description of the figures above are intended to cover non-exclusive inclusions. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. The terms "coupled" and "connected," as used herein, are intended to encompass both direct and indirect coupling (coupling), unless otherwise indicated.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The invention will be described in further detail below with reference to the drawings by means of specific embodiments. Features of the following embodiments may be combined with each other without conflict. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, some operations associated with the present application have not been shown or described in the specification to avoid obscuring the core portions of the present application, and may not be necessary for a person skilled in the art to describe in detail the relevant operations based on the description herein and the general knowledge of one skilled in the art.
As shown in fig. 1, the patient monitoring device provided by the present invention includes a signal acquisition unit 10, a processor 20, and a display 30. These components are interconnected by a bus system and/or other forms of connection mechanisms (not shown). It should be noted that the components and structures of the patient monitoring device shown in fig. 1 are exemplary only and not limiting, and that the patient monitoring device may have other components and structures as desired, including, for example, a memory 40 and a communication interface, etc.
The memory 40 is used to store various data and executable programs, such as system programs for the patient monitoring device, various application programs or algorithms for performing various specific functions, for storing patient monitoring device setup information, alarm rules based on physiological parameters, etc.
Memory 40 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory 40 and/or non-volatile memory 40. The volatile memory 40 may include, for example, random access memory 40 (RAM) and/or cache memory 40 (cache), etc. The non-volatile memory 40 may include, for example, a read only memory 40 (ROM), a hard disk, a flash memory, etc.
The processor 20 may be a Central Processing Unit (CPU), an image processing unit (GPU), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the patient monitoring device to perform desired functions. For example, the processor 20 can include one or more embedded processors 20, processor 20 cores, microprocessors 20, logic circuits, hardware Finite State Machines (FSMs), digital signal processors 20 (DSPs), image processing units (GPUs), or combinations thereof. Processor 20 may also be referred to as a controller.
The signal acquisition unit 10 is configured to acquire data of a physiological parameter of a patient, for example, to acquire a physiological parameter signal corresponding to at least one physiological parameter of the patient, which may also be referred to as a vital sign parameter. When the obtained physiological parameter signal includes more than two physiological parameters, the first physiological parameter and the second physiological parameter can be used for distinguishing the more than two physiological parameters, and the corresponding physiological parameter signals corresponding to the two different physiological parameters can be represented by the first physiological parameter signal and the second physiological parameter signal.
The patient monitoring device may be any one of a monitor, a local central station, a remote central station, a cloud service system, and a mobile terminal, and the manner in which the corresponding signal acquisition unit 10 acquires the data of the physiological parameters of the patient is also different. The monitor may be a bedside monitor or a wearable monitor, for example, the patient monitoring device is a monitor, and the signal acquisition unit 10 may employ a sensor, where the sensor is used to monitor a physiological parameter of a patient, and obtain a physiological parameter signal corresponding to the physiological parameter. The physiological parameters may include various vital sign parameters, such as electrocardiograph, respiration, noninvasive blood pressure, blood oxygen saturation, pulse, body temperature, invasive blood pressure, end-of-breath carbon dioxide, respiratory mechanics, anesthetic gas, cardiac output, electroencephalogram dual-frequency index, etc., the data of the physiological parameters of the patient may be physiological parameter signals, the physiological parameter signals may be originally acquired electrical signals, and the corresponding physiological parameter signals may be visually displayed on the display 30 through at least one of values, waveforms, and waveform variation trends. For another example, the patient monitoring device may be a local central station, a remote central station, a cloud service system or a mobile terminal, and the signal acquisition unit 10 is a communication device or a communication interface, and is used for being in communication connection with a monitor, so as to acquire the data of the physiological parameters of the patient from the monitor. Or, the patient monitoring device may be a local central station, a remote central station, a cloud service system or a mobile terminal, and the signal acquisition unit 10 is a communication device or a communication interface, and is used for communication connection with the monitor, so as to acquire the original signal acquired by the sensor of the monitor from the monitor, calculate to obtain the data of the physiological parameter of the patient, and transfer the obtained data of the physiological parameter of the patient to the monitor.
Taking the monitoring device of the present application as an example of a monitor, the monitor collects different physiological parameter signals (such as an electrocardiograph signal, a pulse oxygen signal, an invasive pressure signal, etc.) of a patient through different sensors, and the processor 20 is configured to: the physiological parameter signals are analyzed to obtain analysis results, and the signal waveforms and analysis results are displayed in real time by the display 30, optionally, the analysis results include, but are not limited to, values of physiological parameters, trend graphs, etc., while the processor 20 is further configured to: and comparing the analysis result with a preset alarm rule (namely, alarm conditions), and generating an alarm event when the analysis result meets the alarm rule.
Alternatively, alarm events include, but are not limited to, physiological alarms and technical alarms, etc., wherein physiological alarms include overrun alarms or abnormal event alarms, wherein the alarm rule of overrun alarms may be that the value of a physiological parameter exceeds a preset alarm threshold, such as below an alarm lower threshold, or above an alarm upper threshold. The abnormal event alarm can be, for example, arrhythmia alarm, respiratory asphyxia alarm, shock alarm and the like, and is confirmed by comparing the analysis result of the analysis of one or more physiological parameter signals with a preset alarm rule.
Technical alarms include alarms of the hardware, software or accessories of the monitoring device. It should be appreciated that when a monitoring device has a technical alarm, it is indicated that the monitoring device itself has failed. This malfunction may lead to inaccurate physiological parameters being acquired by the monitoring device or to a meaningless alarm.
The alarm information corresponding to the alarm event may be presented through the display 30, specifically, the display 30 is configured to present at least a part of the alarm event in a real-time alarm manner, where when an alarm switch corresponding to a first part of the alarm event is set to be on, alarm information related to the first part of the alarm event is output; when the alarm switch corresponding to the second part of the alarm event is set to be in an alarm off state, alarm information related to the second part of the alarm event is not output, namely, the alarm switch of the alarm event which is displayed in real time is set to be in an alarm on state, and the alarm event which is set to be in an alarm off state is not displayed in real time. Wherein a first portion of the alarm events may be one or more of all alarm events generated by processor 20 with the alarm switches of the alarm events set to alarm on and a second portion of the alarm events may be one or more of all alarm events generated by processor 20 with the alarm switches of the alarm events set to alarm off. The alarm switch setting can be reasonably set according to the actual needs of users, and sometimes in order to avoid the problem of the disturbance of transition alarm, medical staff can turn off some alarm switches according to the actual conditions of patients, such as turn off a atrial fibrillation event alarm switch of atrial fibrillation patients, etc. Because the monitor 30 of the monitoring device of the present application can still present the alarm event with the alarm switch set to alarm on in real time, but does not present the alarm event with the alarm switch set to alarm on, some meaningless alarms are reduced, the alarm frequency is reduced, and the alarm fatigue problem is reduced.
The display 30 of the present application is configured for outputting information, such as visual information. The display 30 may be a display 30 having only a display function, or a touch display 30 may be used. Illustratively, the display 30 is configured to display the data of the physiological parameter on a main interface, which may be configured to display physiological parameter signals, such as physiological parameter waveforms, values, etc., and may display various information on different areas of the main interface.
For example, the main interface may include a first parameter area for displaying data of vital sign parameters and a prompt information area (also referred to as an alarm display area) for displaying alarm information or prompt information. The first parameter region may include, among other things, a waveform region (e.g., for displaying waveforms of one or more types of vital sign parameters, including but not limited to, electrocardiography (ECG), blood oxygen saturation, respiration (Resp), mean arterial blood pressure (arterial pressure, ART), etc.), a waveform parameter region (for displaying data of vital sign parameters corresponding to the waveforms), an amorphous parameter region (e.g., for displaying data of physiological parameters of a subject such as: body temperature, noninvasive blood pressure NIBP, pulse rate PR, vital sign parameters at one or more moments (e.g. heart rate HR, blood oxygen saturation, respiratory rate, blood pressure BP), etc., the main interface may also comprise other display areas, such as a patient information area for displaying patient information (e.g. displaying the type of patient, e.g. adult, child, neonate, etc.), a device prompt information area main interface (e.g. a prompt information area for displaying one or more of function attributes, function settings and function keys, e.g. for displaying wireless information, volume information, electrical quantity information, etc.), a navigation hotkey area (in which one or more hotkeys are displayed, e.g. a review, standby, alarm setting shortcut key, main menu, alarm reset, alarm pause, etc.), various function keys may be icons and/or text function keys, the user may implement the corresponding functions by clicking the hotkey of the hotkey area, e.g. clicking the review, may review various information of the monitoring device, e.g. alarm information. The hot key area is arranged at the bottom end of the main interface, and the amorphous parameter area is arranged between the intelligent hot key area and the waveform area.
The alarm information of the alarm event requiring real-time alarm can be presented on the main interface of the display 30 in real time, for example, an alarm character string corresponding to the alarm information, a graphic mark and the like are presented in an alarm display area of the main interface, the display displays the alarm character string in a preset alarm level, and the alarm display area can present the base color of the corresponding level according to the level of the alarm event.
In one example, the monitoring device may also be provided with an alarm device, for example, the alarm device may alarm an alarm event of a real-time alarm, or alarm a condition of a patient, or the processor 20 may generate alarm information (e.g., an alarm signal) when a connection abnormality, an operation state abnormality, etc. occurs in each device of the monitor. The alarm means of the alarm device includes, but is not limited to, light, sound and other alarm means, and the specific form may be a flashing LED lamp, a buzzer, a speaker and the like, so as to draw attention and vigilance of an observer. In this way, real-time alerting may be implemented to prompt the user.
Further, the processor 20 of the present application is also configured to: the output alarm statistics instruction input by the user is acquired, for example, a 'review' hot key is arranged on the main interface, the user can enter the review interface through the 'review' hot key, and alarm statistics are called through overview controls and the like displayed on the review interface.
For example, ventricular premature beats (Premature Ventricular Contractions, abbreviated as PVC, expressed in s/min) alarm, which is an alarm when the number of the ventricular premature beats of 1 minute is counted to exceed a threshold value. Of course, it is not limited to counting whether the number of ventricular premature beats of the last 1 minute exceeds the threshold value, but may counting whether the number of ventricular premature beats exceeds the threshold value in any predetermined period of time. Clinically, for example, for some types of patients, the medical care may have a relatively low concern for this alarm of the patient, while at the same time there may be some other alarm of higher clinical concern, and by means of the alarm setting, the alarm switch corresponding to the ventricular premature alarm of the patient may be set to alarm off. In order to count the alarm of the alarm switch, the physiological alarm is unbinding from the switch when the real-time alarm is generated based on the physiological alarm switch, and all the alarms of the patient are counted, so that more complete disease overview statistics is ensured.
Further, the processor 20 of the present application is also configured to: counting the alarm events occurring in a preset alarm counting interval to obtain alarm counting information of the preset alarm counting interval, wherein the alarm counting information reflects the disease development condition of the patient, the alarm events can be preset type alarm events, and the alarm events can be alarms with an alarm setting switch being on or can also be alarms with the alarm setting switch being off or can also comprise the two types of alarms. The processor 20 may count the alarm event according to a predetermined statistics rule when generating the alarm event, and the user may retrieve alarm statistics information of a preset alarm statistics interval to view when reviewing the alarm event. Alternatively, in some embodiments, the processor 20 may also display the alarm event occurring in the preset alarm statistics interval after counting according to the output alarm statistics instruction. That is, the processor 20 may be performing statistics in real time or based on user instructions. The monitoring equipment can count the alarm event no matter whether the alarm switch is set to be on or off, and the unbinding of the alarm statistics and the alarm setting switch is realized, so that more detailed alarm statistics information can be provided, a user can review and check the statistics information conveniently, medical staff can know the development condition of the patient through the alarm statistics information, and further more reasonable judgment is made on the condition of the patient.
The processor 20 may perform statistics of the alarm information in any one or more of a plurality of statistical manners, for example, may count alarm information of the alarm event in a preset alarm statistics interval, so as to obtain a development condition of a patient condition in the preset alarm statistics interval, so that a medical staff can adjust a treatment scheme according to the development condition, for example, may also count alarm information of a predetermined type, for example, statistics of alarm information of atrial fibrillation, so as to obtain a development condition of the atrial fibrillation condition of the patient, and adjust the treatment scheme according to the condition, for example, use of drugs to control a ventricular rate. For another example, alarm information of a preset rhythm can be counted, for example, abnormal rhythms such as an early ventricular bivalve, an early ventricular trigeminal rhythm, an early atrial bivalve, an early atrial trigeminal rhythm and the like are counted, abnormal rhythms of a patient are obtained, for example, abnormal rhythms of a preset alarm counting interval are obtained, and a doctor can judge disease condition changes according to the alarm statistics information of the abnormal rhythms so as to adjust a treatment scheme according to the disease condition. In other embodiments, the combined alarm information may be counted to obtain alarm statistics, for example, the occurrence frequency and duration of QT interval prolongation alarm during atrial fibrillation, or the occurrence frequency of RR long interval during atrial fibrillation, to determine whether the illness is worsened.
Taking the atrial fibrillation event as an example, the processor 20 performs atrial fibrillation detection on the physiological parameter data acquired by the signal collector 10 to obtain an atrial fibrillation analysis result, compares the atrial fibrillation analysis result with a preset alarm rule, generates an alarm event (for example, the atrial fibrillation event) when the atrial fibrillation event is met, and the alarm setting switch corresponding to the atrial fibrillation event alarm is set to be on at the time t2, as shown in fig. 2 and fig. 4, the display 30 presents alarm information corresponding to the atrial fibrillation event in real time at the area B of the display interface, as shown in fig. 2 and fig. 3, and the atrial fibrillation event occurs at the time t1, but the alarm setting switch corresponding to the atrial fibrillation event alarm is set to be off, although the atrial fibrillation event alarm is actually generated at this time, the display 30 does not present alarm information corresponding to the atrial fibrillation event, for example, does not display the alarm information of the atrial fibrillation event at the area B.
Specifically, the atrial fibrillation event may be obtained by atrial fibrillation detection according to data of an electrocardiographic parameter, or may be obtained by atrial fibrillation detection according to other parameters, such as blood oxygen parameters, invasive blood pressure and/or monitoring data of noninvasive blood pressure, which is described in the former embodiment as an example. The processor 20 acquires the monitored data of the electrocardiograph parameters of the patient in real time through the signal collector 10, and the processor 20 performs atrial fibrillation detection on the monitored data of the electrocardiograph parameters in real time, and generates information of atrial fibrillation events and duration time periods of atrial fibrillation if the atrial fibrillation occurs. For example, the atrial processor 20 performs noise processing on the monitored data of the electrocardiographic parameters in real time; p wave analysis is carried out to obtain the existence of P waves, the starting point, the peak point and the like of the P waves; f-jitter wave analysis is carried out to obtain the existence of f-jitter waves; carrying out RR interval irregularity analysis, specifically calculating RR interval length based on adjacent R waves, wherein the reciprocal is heart rate, carrying out irregularity analysis on a sequence formed by RR intervals in a preset period of time, and judging whether the heart rate of the current paragraph is absolutely uneven or not; performing heart beat classification to obtain heart beat classification results, wherein the heart beat classification results comprise: sinus, atrial, ventricular, and other categories of 4; by one or more analyses, information of the atrial fibrillation event, such as the starting time, stopping time and the like of the atrial fibrillation event, which occurs to the patient, is obtained, and information of the atrial fibrillation event, that is, alarm information, is stored.
For other alarm events, the processor 20 may be configured to generate an alarm event when the physiological parameter signal meets a preset alarm rule, and obtain alarm information of the alarm event, where the alarm information includes a start time and an end time of occurrence of the alarm event, and the processor 20 is configured to obtain alarm statistics according to the start time, the end time and the unit time of occurrence of the alarm event. In some embodiments, the alarm statistics are used to present the number of occurrences, duration duty cycles, and/or maximum single duration of the alarm event for one or more unit times within a preset alarm statistics interval. The unit time can be any time reasonably set according to actual needs, can be automatically preset by a system, can be input or changed by a user, and can be measured in minutes, hours and the like, and the unit time is the minimum unit time period in the embodiment. For example, the preset alarm statistics interval may be 1h, 0.5h or 2h, and the preset alarm statistics interval refers to a time period reasonably set according to the user requirement, for example, a first time of a certain month of a certain year is taken as a starting time to a second time of a certain month of a certain year is taken as an ending time, and a time period between the starting time and the ending time is the preset alarm statistics interval.
Continuing with the example of atrial fibrillation events, the processor 20 also calculates a duration of atrial fibrillation based on the starting and stopping moments of atrial fibrillation, and defines a atrial fibrillation load based on the duration of atrial fibrillation and the atrial fibrillation load per unit time, such as the longest duration of atrial fibrillation occurrence per unit time, the number of atrial fibrillation occurrences, or the percentage of the duration of atrial fibrillation, in this embodiment, the percentage of the duration of atrial fibrillation in unit time is referred to as the atrial fibrillation load (AF Burden).
In some embodiments, the alert statistics further include at least one of: optionally, the alarm information includes a start time and an end time of the occurrence of the alarm event, and the processor 20 is configured to obtain the alarm statistics information according to the start time and the end time of the occurrence of the alarm event, and count the total number of alarm events by the start time and the end time, and add the total time of occurrence of the alarm event, that is, the cumulative duration, generally, the cumulative for the same alarm event.
In some embodiments, after the doctor sees the real-time electrocardiographic waveform at the interface shown in fig. 3 and fig. 4, the doctor operates the input device to click the area a, so that an atrial fibrillation comprehensive view can be presented, and various more detailed data can be seen, thereby improving the efficiency of the doctor on the atrial fibrillation management of the patient. Wherein the atrial fibrillation integrated view refers to an integrated view for presenting information about various physiological data related to atrial fibrillation of an atrial fibrillation patient.
For example, taking a atrial fibrillation event as an example, as shown in fig. 5, the alarm statistics information includes one of atrial fibrillation load, atrial fibrillation times, atrial fibrillation cumulative duration, and longest continuous atrial fibrillation duration generated in the preset alarm statistics interval, or any combination thereof. In some embodiments, the alarm statistics further comprise an atrial fibrillation load for one or more units of time over the preset alarm statistics interval and/or a mean value of atrial fibrillation loads over the preset alarm statistics interval. The alarm statistical information can also comprise atrial fibrillation trend information, and the atrial fibrillation trend information can also be presented in the forms of graphics, characters, numerical values and the like. In this embodiment, as shown in fig. 5, the heart rate trend information is presented in the form of a heart rate trend chart. In the atrial fibrillation comprehensive view, atrial fibrillation trend information can be embodied by one of a graph, a histogram, a bar graph, a box graph, a scatter graph, a line graph, a pie graph and a ring graph or a combination thereof. For example, atrial fibrillation trend information may be presented in the form of an atrial fibrillation trend graph and/or an atrial fibrillation load graph. The atrial fibrillation trend graph shows the trend of atrial fibrillation events, and specifically may be the trend of the occurrence times of atrial fibrillation in each minimum unit time period, the trend of the duration time of atrial fibrillation in each minimum unit time period, and the like. In other words, the atrial fibrillation information includes at least one of an atrial fibrillation load, an atrial fibrillation occurrence number, and an atrial fibrillation duration.
In order to present the alarm statistics described above, an overview control may also be provided at the review interface, for example, and the processor 20 may be further configured to control the display 30 to display an alarm overview view in response to an operation instruction for the overview control, the alarm overview view being used to present the alarm statistics, for example, as shown in fig. 6, and the user may present the alarm overview view by clicking on "overview" of the interface shown in fig. 6 via an input device. The alarm overview view includes a target virtual key, such as a drop-down menu of "atrial fibrillation overview" in fig. 6, and when the input device receives an operation of clicking the target virtual key by a user, for example, in fig. 6, the "atrial fibrillation overview" is selected through the drop-down menu, and the processor 20 controls to display an atrial fibrillation comprehensive view (i.e. an alarm overview view of an atrial fibrillation event) on the display 30, where the atrial fibrillation comprehensive view is displayed, and the atrial fibrillation monitoring period may be a preset alarm statistics interval or a period of time within the preset alarm statistics interval. When a doctor reviews the electrocardiosignals of the patient, the comprehensive view of atrial fibrillation can be checked only by one-key operation, the atrial fibrillation condition of the patient is further mastered, the display interface is not required to be switched back and forth, and the operation is convenient and quick.
Alternatively, the alarm statistics may be displayed in the alarm overview view in the form of text, numerical values and/or icons, or may also be displayed in other suitable forms.
In some embodiments, when the alarm event is a first alarm event, the first alarm event is generated based on analysis of a first physiological parameter of the at least one physiological parameter, the at least one physiological parameter further includes a second physiological parameter different from the first physiological parameter, alarm statistics of the first alarm event and statistics of the second physiological parameter are displayed simultaneously in an associated presentation manner in the alarm overview view, the statistics of the second physiological parameter are obtained according to analysis of the acquired second physiological parameter signal, for example, as shown in fig. 5, the first alarm event is an atrial fibrillation event, the first physiological parameter is an electrocardiograph parameter, the second physiological parameter is a heart rate, and the statistics of the second physiological parameter include at least one of: a mean value of the heart rate per unit time during the atrial fibrillation event, a mean value of the heart rate during the atrial fibrillation event, a heart rate maximum value, or a heart rate minimum value. The mean value of the heart rate over one or more unit times during the atrial fibrillation event is presented in the form of a trend graph. Optionally, the trend graph of the heart rate trend graph and the trend graph of other vital sign parameters reflect the change trend of the vital sign parameters, which may be one of a graph, a histogram, a bar graph, a box graph, a scatter graph, a line graph, a cake graph, and a ring graph, or may be various combinations of the graph, the histogram, the bar graph, the box graph, the scatter graph, the line graph, the cake graph, and the ring graph.
In some embodiments, as shown in fig. 5, the alarm statistics information further includes atrial fibrillation loads (i.e. atrial fibrillation trend graphs) in one or more unit time within the preset alarm statistics interval presented in a form of a statistical graph, and the alarm overview view is further used for jointly displaying the trend graph corresponding to the average value of the heart rate and the statistical graph corresponding to the atrial fibrillation loads. Through the joint presentation of atrial fibrillation and heart rate, the quantitative analysis results of atrial fibrillation events and heart rate can be comprehensively and intuitively presented for medical staff in a graphical mode, so that the medical staff is helped to know the achievement condition of the heart rate control target of the atrial fibrillation patient, and the atrial fibrillation management efficiency is improved.
In some embodiments, as shown in fig. 5, the alarm overview is further configured to display a waveform diagram of the second physiological parameter signal corresponding to the preset alarm statistics interval, and identify, in a preset identification manner, an area of the waveform diagram corresponding to an occurrence period of an atrial fibrillation event, for example, a waveform diagram of a heart rate HR, which may identify, with a differentiated ground color or other identification, an area of the waveform diagram corresponding to the occurrence period of the atrial fibrillation event, so as to help medical staff understand achievement of a heart rate control goal of an atrial fibrillation patient, and improve efficiency of atrial fibrillation management.
The processor 20 may also obtain monitored data for other vital sign parameters, so the atrial fibrillation comprehensive view may also include waveforms for other vital sign parameters (e.g., pulse rate, blood oxygen, non-invasive blood pressure, respiration, body temperature, stroke volume, cardiac output, electrocardiogram ST segment, electrocardiogram QT interval, blood glucose, brain oxygen, urine volume, etc.). The waveform chart is used for reflecting the relation between time and quantity, for example, the waveform chart is a statistical chart taking time as a horizontal axis, observing a variable as a vertical axis and observing the trend and deviation of the variation of the variable. The observed variable of the vertical axis may be absolute amount, average value, incidence, etc. The trend graph of heart rate trend and other vital sign parameters reflects the change trend of vital sign parameters, and the trend graph can be one of a graph, a histogram, a bar graph, a box graph, a scatter graph, a line graph, a pie graph and a ring graph, or can be various combinations of the graph, the histogram, the bar graph, the box graph, the scatter graph, the line graph, the pie graph and the ring graph. Taking the trend graph of the heart rate as an example, the trend graph of the heart rate can not only show the change relation of the heart rate and time, but also show the extreme value, the mean value, the median value, the quantile and other numerical values of the heart rate in at least each minimum unit time period, and the numerical values can be displayed through scattered points, namely the heart rate information comprises: the scatter diagram is used for reflecting the heart rate value, the extreme value, the mean value, the median value and/or the quantile of heart rate at different moments in the preset atrial fibrillation monitoring period. Of course, the extremum, the mean, the median and the quantile of each time period can be connected through a broken line or a curve, that is, the heart rate information includes: the method is used for representing the curve graph or the line graph of the heart rate value, the extreme value, the mean value, the median value and/or the quantile of the heart rate at different moments in the preset atrial fibrillation monitoring period. Of course, the extremum, the mean, the median, and the quantile of each time period may be taken as a group, and one unit of the box chart (box chart) may be formed, that is, the heart rate information includes: and a box diagram for reflecting at least one of the extremum, the mean, the median and the quantile of the heart rate in different preset time periods in the preset atrial fibrillation monitoring period.
The processor 20 is further configured to count typical events during a preset atrial fibrillation event to obtain typical event statistics. As shown in fig. 5, typical event statistics include at least one of: atrial fibrillation with rapid ventricular rate times, atrial fibrillation with RR long intermittent times, extreme tachycardia times, extreme bradycardia times, first atrial fibrillation time, maximum heart rate atrial fibrillation time, and longest duration atrial fibrillation occurrence period. Typical events are usually events of great concern to doctors and are of clinical significance. The atrial fibrillation comprehensive view can also comprise an alarm event statistical chart in a preset atrial fibrillation monitoring period, the alarm event statistical chart can reflect various alarms generated in the process of monitoring a patient by the monitoring system, and of course, the atrial fibrillation comprehensive view also comprises an atrial fibrillation alarm, alarm events also belong to typical events, and the alarm event statistical chart can also be used as a part of the typical event statistical information and is displayed in the information statistical area of fig. 5.
Further, as shown in fig. 7, the present application further provides a method 700 for analyzing an alarm event, which includes the following steps S710 to S760:
in step S710, a physiological parameter signal of at least one physiological parameter is acquired;
In step S720, the physiological parameter signal is analyzed to obtain an analysis result, and the analysis result is compared with the alarm rule to generate an alarm event;
in step S730, at least a part of the alarm events are presented in a real-time alarm manner, wherein when an alarm switch corresponding to a first part of the alarm events is set to be on, alarm information related to the first part of the alarm events is output; when an alarm switch corresponding to a second part of the alarm event is set to be in an alarm off state, alarm information related to the second part of the alarm event is not output;
in step S740, an output alarm statistics instruction input by the user is obtained;
in step S750, counting the alarm events occurring in a preset alarm statistics interval to obtain alarm statistics information of the preset alarm statistics interval, wherein the alarm statistics information reflects the disease development condition of the patient;
in step S760, the alarm statistics are output.
The method for analyzing the alarm event of the present application may be implemented based on the foregoing monitoring device, and the relevant details of each step may be referred to the foregoing description and will not be repeated here.
In summary, the monitoring device and the analysis method of the present application can count the alarm event no matter whether the alarm switch is set to be on or off, so as to realize the unbinding of the alarm statistics and the alarm setting switch, thereby providing more detailed alarm statistics information, facilitating the review and checking of the statistics information by the user, helping the medical staff to know the development condition of the patient condition through the alarm statistics information, and further facilitating the doctor to adjust the treatment scheme according to the development condition of the patient condition. And the monitor of the monitoring device can still present the alarm event that the alarm switch is set to alarm on in real time, but does not present the alarm event that the alarm switch is set to alarm on, so that meaningless alarms are reduced, the alarm frequency is reduced, the alarm fatigue problem is reduced, and meanwhile, the integrity of alarm statistical information in alarm statistics is ensured.

Claims (19)

1. A patient care device, comprising:
a signal acquisition unit for acquiring a physiological parameter signal of at least one physiological parameter;
a memory for storing executable program instructions and for storing alarm rules based on the physiological parameter;
The processor is used for analyzing the physiological parameter signals to obtain analysis results, and comparing the analysis results with the alarm rules to generate alarm events;
the display is used for presenting at least one part of the alarm events in a real-time alarm mode, wherein when an alarm switch corresponding to a first part of the alarm events is set to be on, alarm information related to the first part of the alarm events is output; when an alarm switch corresponding to a second part of the alarm event is set to be in an alarm off state, alarm information related to the second part of the alarm event is not output;
the processor is further configured to:
acquiring an output alarm statistical instruction input by a user;
counting the alarm events occurring in a preset alarm counting interval to obtain alarm counting information of the preset alarm counting interval, wherein the alarm counting information reflects the disease development condition of the patient;
the display is also used for outputting the alarm statistical information.
2. The patient monitoring device of claim 1, wherein the alarm statistics are used to present the number of occurrences, duration duty cycles, and/or maximum single duration of the alarm event for one or more unit times within a preset alarm statistics interval.
3. The patient monitoring device of claim 2, wherein the alarm information includes a start time and an end time at which the alarm event occurred, the processor being configured to derive the alarm statistics based on the start time, the end time, and the unit time at which the alarm event occurred.
4. The patient monitoring device of claim 1 or 2, wherein the alarm statistics further comprise at least one of: the total number, the accumulated time length, the maximum single duration and/or the duty ratio of the accumulated time length of the alarm events in the preset alarm statistics interval occur in the preset alarm statistics interval.
5. The patient monitoring device of claim 4, wherein the alarm information includes a start time and an end time of occurrence of the alarm event, and wherein the processor is configured to derive the alarm statistics based on the start time and the end time of occurrence of the alarm event.
6. The patient monitoring device of claim 1, wherein the physiological parameter comprises an electrocardiographic parameter, the physiological parameter signal comprises an electrocardiographic parameter signal, the alarm event comprises an atrial fibrillation event, and the alarm statistics comprise one of an atrial fibrillation load, an atrial fibrillation number, an atrial fibrillation cumulative duration, a longest sustained atrial fibrillation duration, or any combination thereof, generated during the preset alarm statistics interval.
7. The patient monitoring device of claim 6, wherein the alarm statistics further comprise an atrial fibrillation load for one or more units of time over the preset alarm statistics interval and/or a mean value of the atrial fibrillation load over the preset alarm statistics interval.
8. The patient care device of any one of claims 1-7, wherein the alarm information comprises an alarm string characterizing the alarm event, the display displaying the alarm string at a predetermined alarm level.
9. The patient monitoring device of claim 1, wherein when the alarm event is an atrial fibrillation event, the alarm statistics include a number of occurrences and/or a duration of prolonged alarms for QT interval during the atrial fibrillation event; or alternatively
The alarm statistics include the number of occurrences of RR long intervals during the atrial fibrillation event.
10. The patient monitoring device of claim 1, wherein when the alarm event comprises an abnormal rhythmic alarm event, the alarm statistics further comprise abnormal rhythmic durations of the preset alarm statistics intervals, the abnormal rhythmic alarm event comprising one of: premature ventricular bivalve, premature ventricular trigeminal rhythm, premature atrial bivalve, and premature atrial trigeminal rhythm.
11. The patient monitoring device of any one of claims 1 to 10, wherein the display is configured to display an alarm overview view, the alarm overview view being configured to present the alarm statistics.
12. The patient monitoring device of claim 11, wherein when the alarm event is a first alarm event, the first alarm event is generated based on analysis of a first physiological parameter of the at least one physiological parameter, the at least one physiological parameter further comprising a second physiological parameter different from the first physiological parameter, alarm statistics of the first alarm event and statistics of the second physiological parameter are displayed simultaneously in an associated presentation in the alarm overview view, the statistics of the second physiological parameter being analyzed from the acquired second physiological parameter signal.
13. The patient monitoring device of claim 12, wherein the first alarm event is an atrial fibrillation event, the first physiological parameter is an electrocardiographic parameter, the second physiological parameter is a heart rate, and the statistical information of the second physiological parameter includes at least one of: a mean value of the heart rate per unit time during the atrial fibrillation event, a mean value of the heart rate during the atrial fibrillation event, a heart rate maximum value, or a heart rate minimum value.
14. The patient care device of claim 13, wherein the average of the heart rate over one or more unit times during the atrial fibrillation event is presented in a trend graph.
15. The patient monitoring device according to claim 13 or 14, wherein the alarm statistics further comprise atrial fibrillation load in one or more unit time within the preset alarm statistics interval presented in the form of a statistics map, the alarm overview view further being adapted to jointly display the trend graph corresponding to the mean value of the heart rate and the statistics graph corresponding to the atrial fibrillation load.
16. The patient monitoring device of claim 11, wherein the alarm overview view is further configured to display a waveform map of the second physiological parameter signal corresponding to the preset alarm statistics interval and identify an area of the waveform map corresponding to the occurrence of the atrial fibrillation event in a preset identification manner.
17. The patient care device according to any one of claims 11 to 16, wherein the alarm statistics are displayed in the alarm overview view in the form of text, numerical values and/or icons.
18. The patient monitoring device of any one of claims 1-17, wherein the display further has a monitoring main interface for displaying the physiological parameter signal and/or presenting the alarm information related to the first portion of the alarm event in real time.
19. A method of analyzing an alarm event, the method comprising:
acquiring a physiological parameter signal of at least one physiological parameter;
analyzing the physiological parameter signals to obtain analysis results, and comparing the analysis results with the alarm rules to generate alarm events;
presenting at least one part of the alarm events in a real-time alarm mode, wherein when an alarm switch corresponding to a first part of the alarm events is set to alarm on, alarm information related to the first part of the alarm events is output; when an alarm switch corresponding to a second part of the alarm event is set to be in an alarm off state, alarm information related to the second part of the alarm event is not output;
acquiring an output alarm statistical instruction input by a user;
counting the alarm events occurring in a preset alarm counting interval to obtain alarm counting information of the preset alarm counting interval, wherein the alarm counting information reflects the disease development condition of the patient;
and outputting the alarm statistical information.
CN202310003628.6A 2021-12-31 2023-01-03 Patient monitoring device and alarm event analysis method Pending CN116369850A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN2021116794824 2021-12-31
CN202111679482 2021-12-31

Publications (1)

Publication Number Publication Date
CN116369850A true CN116369850A (en) 2023-07-04

Family

ID=86977581

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310003628.6A Pending CN116369850A (en) 2021-12-31 2023-01-03 Patient monitoring device and alarm event analysis method

Country Status (1)

Country Link
CN (1) CN116369850A (en)

Similar Documents

Publication Publication Date Title
US20150193595A1 (en) Systems and methods for reporting patient health parameters
CA2835937A1 (en) User configurable central monitoring station
CA2978636C (en) Display arrangement for diagnosis of cardiac rhythm disorders
US20130138003A1 (en) Method, apparatus and computer program product for monitoring clinical state of a subject
KR20160105440A (en) Method and system for determining the clinical relevancy of alarm events
US20120302905A1 (en) Method, apparatus and computer program product for monitoring physiological signals
US11744524B2 (en) Statistical display method for physiological parameter of monitoring apparatus, and monitoring apparatus
WO2022134803A1 (en) Monitoring device and method for determining accuracy of pulse pressure variation
WO2020041984A1 (en) Monitoring device, and monitoring information display method and apparatus
US20190110759A1 (en) Apparatus and method for processing physiological information
WO2020133432A1 (en) Display method, and monitoring device and system for early warning score
CN109328029B (en) Vital sign data statistical system and monitor
WO2021016892A1 (en) Method for analyzing regularity evaluation information, monitoring device and monitoring system
WO2020133347A1 (en) Method and apparatus for monitoring patient
KR20060031837A (en) Bio-unit using heart rate variability of mobile phone
CN116369850A (en) Patient monitoring device and alarm event analysis method
WO2022135605A1 (en) Monitoring information display method, electroencephalogram abnormality alarm method, and monitoring system
WO2020133429A1 (en) Monitoring method, monitor and computer storage medium
KR20030074520A (en) Bio analysis apparatus using mobile phone
CN113597643A (en) Medical advice tool display method for medical equipment and medical equipment
US20220122444A1 (en) Monitoring apparatus and method for operating same, monitor and computer storage medium
US10512412B2 (en) Method of ECG evaluation based on universal scoring system
US20190150773A1 (en) Continuous cardiac monitoring and real time episode detection system
CN115670474A (en) Medical equipment system and medical data processing method
JP7155041B2 (en) Pulse wave measurement device and pulse wave measurement program

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination