CN114098666A

CN114098666A - Monitoring equipment and multi-parameter fusion analysis method thereof

Info

Publication number: CN114098666A
Application number: CN202010867028.0A
Authority: CN
Inventors: 何先梁; 刘梦星; 叶文宇; 刘三超; 孙泽辉
Original assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Current assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Priority date: 2020-08-25
Filing date: 2020-08-25
Publication date: 2022-03-01

Abstract

The application provides a multi-parameter fusion analysis method, which comprises the following steps: acquiring at least two types of physiological parameters of a monitored object; performing fusibility judgment on the at least two types of physiological parameters from at least two aspects of signal quality analysis, homology analysis and contraindication ratio respectively to obtain at least two intermediate judgment results, wherein the intermediate judgment results comprise one of 'applicable multi-parameter fusion' and 'inapplicable multi-parameter fusion'; and obtaining a comprehensive judgment result based on the at least two intermediate judgment results. The method and the device realize multi-parameter fusion analysis and judgment, and avoid error correction in a scene which is not suitable for multi-parameter fusion analysis, thereby generating missed alarm, false alarm and the like.

Description

Monitoring equipment and multi-parameter fusion analysis method thereof

Technical Field

The present disclosure relates to monitoring devices, and particularly to a monitoring device and a multi-parameter fusion analysis method thereof.

Background

The monitor is one of the most commonly used medical devices in hospitals, and mainly has the main functions of monitoring and displaying physiological parameters of patients in real time and sending sound and light alarm signals to medical staff in time when the physiological state of the patients is abnormal. The physiological parameters measured by the monitor mainly comprise: electrocardiogram (ECG), blood oxygen (SPO2), invasive pressure (IBP), non-invasive blood pressure (NIBP), Respiration (RESP), and body Temperature (TEMP). The traditional monitor analyzes various physiological parameters independently, detects the abnormality of the waveform or the characteristics, and then displays signals, numerical values and/or alarm prompts at specific positions on a screen.

With the improvement of hardware computing capability, a signal processing technology of multi-physiological parameter fusion analysis (multi-parameter for short) is realized. Broadly speaking, the multi-parameter technique is applied to optimize the sensitivity and specificity of monitoring and alarming by integrating the characteristics of two or more types of physiological parameters in the same time period. The multi-parameter technology provides more dimensionality information, and the machine can correct the deviation in single parameter analysis through fusion analysis, so that the accuracy of alarm and feature calculation results is improved. For example, when the heart rate signal is disturbed by noise or artifacts of unknown origin, the heart rate calculation may become inaccurate, and at this point, if the heart rate is "replaced" by fusing the pulse rate of the oximetry pulse wave signal, false alarms due to heart rate misalignment may be reduced.

However, the multi-parameter technique has a certain application range. Under certain conditions, for example, for patients with heart failure, severe peripheral vascular diseases, severe congenital heart diseases, etc., there is pathological dyssynchrony between different types of physiological parameters, such as the difference between the electrocardiogram and the heart beat rhythm of the finger tip blood oxygen pulse wave; for another example, for some patients who are performed with cardiac assist devices or emergency procedures (e.g. cardiopulmonary resuscitation after arrest, extracorporeal circulation machine support, aortic balloon counterpulsation, etc.), the signals of blood oxygen pulse waves or invasive pressure, etc. will be affected by external non-physiological factors, and if multi-parameter fusion analysis is still performed, error correction will be caused, thereby generating a missed alarm. However, the current technology cannot identify a working scene which is not suitable for multi-parameter fusion analysis. Because the applicability of the multi-parameter analysis is not judged, and the situation that the multi-parameter fusion analysis is not applicable is considered, the error correction can be caused by continuously using the algorithm of the multi-parameter fusion analysis, so that the missed alarm, the false alarm and the like can be generated.

Disclosure of Invention

The embodiment of the application discloses a monitoring device and a multi-parameter fusion analysis method thereof, which solve the problems by judging the applicability of multi-parameter fusion analysis and prompting or closing a multi-parameter fusion analysis function when the multi-parameter fusion analysis is not applicable.

In a first aspect, an embodiment of the present application discloses a multi-parameter fusion analysis method, applied to a monitoring device, including:

acquiring at least two types of physiological parameters of a monitored object;

performing fusibility judgment on the at least two types of physiological parameters from at least two aspects of signal quality analysis, homology analysis and contraindication ratio respectively to obtain at least two intermediate judgment results, wherein the intermediate judgment results comprise one of 'applicable multi-parameter fusion' and 'inapplicable multi-parameter fusion';

and obtaining a comprehensive judgment result based on the at least two intermediate judgment results.

In a second aspect, an embodiment of the present application discloses a multi-parameter fusion analysis method, which is applied to a monitoring device, where the monitoring device includes a display screen for receiving an operation input by a user, and the method includes:

acquiring at least two types of physiological parameters of a monitored object;

performing fusibility analysis on the at least two types of physiological parameters from the aspects of signal quality analysis, homology analysis or contraindication comparison to obtain an analysis result;

and outputting and displaying the analysis result, and/or responding to the analysis result to control the monitoring equipment to start or close the multi-parameter fusion analysis function.

In a third aspect, an embodiment of the present application further discloses a monitoring device, including a signal collector, where the signal collector is configured to collect at least two types of physiological parameters of a monitored subject, the monitoring device further includes a processor, a memory, and a plurality of program instructions stored in the memory, and the processor calls the plurality of program instructions to perform the following steps:

acquiring at least two types of physiological parameters of a monitored object;

In a fourth aspect, an embodiment of the present application further discloses a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and after the computer program is called and run by a processor, the steps in the multi-parameter fusion analysis method of the monitoring device may be executed, and related steps can be seen in the foregoing related description.

The monitoring device and the multi-parameter fusion analysis device and method thereof in the embodiment of the application can judge the fusibility of at least two types of collected physiological parameters from at least one aspect of signal quality analysis, homology analysis and contraindication ratio to determine whether the physiological condition of the current monitored object is suitable for multi-parameter fusion analysis, and can open the multi-parameter fusion analysis function when the multi-parameter fusion analysis is suitable for the multi-parameter fusion analysis and close the multi-parameter fusion analysis function when the multi-parameter fusion analysis is not suitable for the multi-parameter fusion analysis. The multi-parameter fusion analysis function has a certain application range, so that the applicability condition of the multi-parameter fusion analysis function is comprehensively judged before the multi-parameter fusion analysis is started, error correction caused by the multi-parameter fusion analysis function when the physiological condition of a monitored object is not suitable for the multi-parameter fusion analysis can be avoided, missed alarm, false alarm and the like are generated, the monitoring of the monitoring equipment is more accurate and timely, the error correction is avoided, and the risk of the application of the multi-parameter fusion technology is reduced to the maximum extent.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a block diagram of a monitoring device according to an embodiment of the present application.

Fig. 2 is a schematic flow chart of a multi-parameter fusion analysis method in an embodiment of the present application.

Fig. 3 is a schematic flow chart of a multi-parameter fusion analysis method in another embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "comprises" and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

While the specification concludes with claims describing preferred embodiments of the present application, it is to be understood that the above description is made only for the purpose of illustrating the general principles of the present application and is not intended to limit the scope of the present application. The protection scope of the present application shall be subject to the definitions of the appended claims.

In order to solve the technical problem that the adaptability of multi-parameter fusion analysis cannot be judged in the prior art, so that error correction is caused, and therefore missed alarm, false alarm and the like are generated, the embodiment of the application provides a multi-parameter fusion analysis method. The computer system may be a terminal device, such as a monitor, running the computer program. The multi-parameter fusion analysis method is applied to monitoring equipment, such as a monitor. It should be noted that the multi-reference fusion analysis method according to the embodiment of the present application is not limited to the steps and the sequence in the flowcharts shown in fig. 2 to 3. Steps in the illustrated flowcharts may be added, removed, or changed in order according to various needs.

Referring to fig. 1, fig. 1 is a block diagram of a monitoring device according to a first embodiment of the present application. The monitoring device 1000 is used for monitoring a subject. It is understood that the monitoring device 1000 is, for example, a bedside monitor, a portable monitor, a transit monitor, or a mobile monitor. The monitoring device 1000 may also be an electrocardiograph, an ultrasonic diagnostic apparatus, a ventilator, an anesthesia machine; or the monitoring device can be any computer device such as a computer, and can be formed by installing matched software. In other embodiments, the monitoring device 1000 may be any one of a local central station, a remote central station, a cloud service system, and a mobile terminal, and may also be any other medical device having a display terminal allowing medical staff to interact.

Specifically, the monitoring device 1000 comprises a signal collector 10, a processor 20, a memory 30 and a plurality of program instructions stored in the memory 30, wherein the processor 20 calls the plurality of program instructions to perform the following steps:

acquiring at least two types of physiological parameters of a monitored object;

In the embodiment of the present application, the signal collector 10 may be a sensor or a sensor accessory. The monitoring device 1000 typically establishes a signal connection with one or more sensors or sensor accessories including one or more electrocardiogram electrodes, voltage sensors, blood oxygen saturation SpO2 sensors, pulse sensors, thermometers, respiration sensors, exhaled gas sensors, non-invasive blood pressure sensors, and the like. After the medical staff turns on the monitoring device, the sensor or the sensor accessory can be arranged on the body of the patient, and the monitoring device can detect the data of at least one type of physiological parameters of the patient through the sensor or the sensor accessory. For example, at least one of the body temperature, the electrocardiographic waveform, the diastolic blood pressure, the systolic blood pressure (BP-S), the Heart Rate (HR), the Respiratory Rate (RR), the consciousness level, the blood oxygen (SpO2), the oxygen concentration (supp.o2), the electroencephalogram, and the like of the patient may be acquired.

In this step, at least two types of physiological parameters of the monitored object are acquired by a sensor accessory arranged on the body of the patient, but the acquired at least two types of physiological parameters may be transmitted to the monitoring device 1000 in a wired or wireless manner, or the monitoring device 1000 may acquire the physiological parameters by a sensor accessory locally connected to the device, or acquire data of the physiological parameters acquired by a remote sensor accessory through a network. Therefore, in the embodiment where the monitoring device 1000 is a local central station, a remote central station, a cloud service system or a mobile terminal, the monitoring device 1000 establishes a wireless connection with the signal collector 10, and the signal collector 10 obtains data of the physiological parameters collected by the sensor or the sensor accessory from the remote end through the network.

Therefore, the multi-parameter fusion analysis function has a certain application range, so that the applicability condition of the multi-parameter fusion analysis function is comprehensively judged before the multi-parameter fusion analysis is started, and specifically, at least two intermediate judgment results are obtained by respectively carrying out fusibility judgment on at least two aspects of signal quality analysis, homology analysis and contraindication ratio on at least two types of collected physiological parameters, wherein the intermediate judgment results comprise one of 'applicable multi-parameter fusion' and 'inapplicable multi-parameter fusion'; obtaining a comprehensive judgment result based on the at least two intermediate judgment results; and the comprehensive judgment result is used for judging whether the multi-parameter fusion analysis function is suitable to be opened or not. Therefore, the error correction caused by multi-parameter fusion analysis when the physiological condition of the monitored object is not suitable for multi-parameter fusion analysis can be avoided, so that missed alarm, false alarm and the like are generated, the monitoring of the monitoring equipment 1000 is more accurate, the error correction is avoided, and the risk of the application of the multi-parameter fusion technology is reduced to the maximum extent.

Optionally, in one embodiment, the signal collector 10 is a device for collecting physiological data of a monitored subject, for example, an electrocardiograph sensor and its signal conditioning circuit for collecting electrocardiograph signals, an oximetry sensor and its signal conditioning circuit for collecting oximetry signals, a blood pressure sensor and its signal conditioning circuit for collecting blood pressure (invasive and/or non-invasive) signals, and/or a sensor and its signal conditioning circuit for collecting respiration rate signals, etc.; when the signal collector 10 collects the physiological parameters of the monitored object, the collected physiological parameters are simply processed, including but not limited to sensor signal conversion, analog signal amplification, filtering of the amplified analog signal, conversion of the analog signal into a digital signal of the filtered analog signal, and digital filtering of the digital signal.

Optionally, in one embodiment, the physiological parameters of the monitored subject collected by the signal collector 10 include at least two of an electrocardiographic parameter, a blood oxygen parameter, a blood pressure (invasive and/or non-invasive) parameter, and a respiratory parameter. Therefore, the multi-parameter fusion can be carried out when the multi-parameter fusion is suitable or not suitable by collecting at least two physiological parameters of the electrocardio parameters, the blood oxygen parameters, the blood pressure (invasive and/or non-invasive) parameters and the respiratory parameters and carrying out multi-parameter fusion analysis.

Optionally, in one embodiment, the processor 20 calls the program instructions to further perform the steps of: and outputting and displaying the comprehensive judgment result.

Therefore, the user can judge whether the multi-parameter fusion analysis function needs to be closed or not according to the comprehensive judgment result, manually close the multi-parameter fusion analysis function when the multi-parameter fusion analysis function needs to be closed, and manually open the multi-parameter fusion analysis function when the multi-parameter fusion analysis function needs to be opened.

Optionally, in another embodiment, the processor 20 calls the program instructions to further perform the steps of: and responding to the comprehensive judgment result, and controlling the monitoring equipment to start or close the multi-parameter fusion analysis function.

Therefore, the monitoring device can be controlled to automatically start or close the multi-parameter fusion analysis function according to the comprehensive judgment result, automatic control is achieved, and manual operation is reduced.

Optionally, in one embodiment, the processor 20 calls the program instructions to perform the steps of:

when fusion judgment is carried out in the aspect of signal quality analysis, whether the quality of the at least two types of physiological parameters meets the preset quality requirement is judged;

obtaining an intermediate judgment result of 'applicable multi-parameter fusion' when at least one type of physiological parameters meet the preset quality requirement; or,

and obtaining an intermediate judgment result of 'inapplicable multi-parameter fusion' when the at least two types of physiological parameters do not accord with the preset quality requirement.

Therefore, in the present application, when at least one type of physiological parameter meets the preset quality requirement, the multi-parameter fusion can be determined to be applicable, and an intermediate judgment result of "being applicable to multi-parameter fusion" is obtained.

Optionally, in one embodiment, the homology analysis refers to specifically determining whether the at least two types of physiological parameters originate from the same monitored subject by analyzing the homology of the at least two types of physiological parameters, including but not limited to synchronization, correlation, similarity, difference, and the like, for example, in the actual use, a monitoring device is temporarily in short supply, and department management is confused, which causes a monitoring device to be connected to two monitored subjects at the same time. Specifically, the processor 20 calls the program instructions to execute the steps of:

analyzing the homology of the at least two types of physiological parameters when performing fusibility judgment in terms of homology analysis;

obtaining an intermediate judgment result of 'applicable multi-parameter fusion' when determining that the at least two types of physiological parameters are homologous; or,

and obtaining an intermediate judgment result of 'inapplicable multi-parameter fusion' when determining that the at least two types of physiological parameters are different sources.

Thus, in the present application, the at least two types of physiological parameters may be analyzed from the perspective of homology analysis, and when the at least two types of physiological parameters are homologous, an intermediate determination result of "suitable for multi-parameter fusion" is obtained, or when the at least two types of physiological parameters are different, an intermediate determination result of "not suitable for multi-parameter fusion" is obtained.

Alternatively, in one embodiment, the contraindication for the multi-parameter fusion may be, but is not limited to, severe peripheral circulation disorder, severe congenital heart disease, aortic balloon counterpulsation, cardiopulmonary bypass therapy, extracorporeal membrane oxygenation, and the like. Specifically, the processor 20 calls the program instructions to execute the steps of:

when the fusibility judgment is carried out in the contraindication comparison aspect, whether the monitored object has the contraindication of multi-parameter fusion is determined;

when the contraindication of multi-parameter fusion of the monitored object is determined, an intermediate judgment result of 'inapplicable multi-parameter fusion' is obtained; or,

and when the monitored object is determined to have no contraindication of multi-parameter fusion, obtaining an intermediate judgment result of 'being suitable for multi-parameter fusion'.

Therefore, in the present application, when performing the fusibility determination in terms of contraindication comparison, when determining that the subject has a multi-parameter-fused contraindication, an intermediate determination result of "not applicable to multi-parameter fusion" is obtained, or when determining that the subject does not have a multi-parameter-fused contraindication, an intermediate determination result of "applicable to multi-parameter fusion" is obtained.

when the fusibility judgment is performed on the at least two types of physiological parameters respectively from at least two aspects of signal quality analysis, homology analysis and contraindication ratio, the obtaining of a comprehensive judgment result based on the at least two intermediate judgment results comprises:

when at least one of the obtained at least two intermediate judgment results is 'inapplicable multi-parameter fusion', obtaining a comprehensive judgment result of 'inapplicable multi-parameter fusion', or,

when the obtained at least two intermediate judgment results are both suitable for multi-parameter fusion, outputting a comprehensive judgment result of the suitable multi-parameter fusion;

the step of responding the comprehensive judgment result and controlling the monitoring equipment to start or close a multi-parameter fusion analysis function comprises the following steps:

when the comprehensive judgment result is 'suitable for multi-parameter fusion', controlling the monitoring equipment to start a multi-parameter fusion analysis function;

and when the comprehensive judgment result is that the multi-parameter fusion is not applicable, controlling the monitoring equipment to close the multi-parameter fusion analysis function.

Therefore, in the application, when the comprehensive judgment result of 'being suitable for multi-parameter fusion' is obtained according to the intermediate judgment result, the monitoring equipment is controlled to start the multi-parameter fusion analysis function; when a comprehensive judgment result of 'inapplicable multi-parameter fusion' is obtained according to the intermediate judgment result, the monitoring device is controlled to close the multi-parameter fusion analysis function, so that error correction caused by executing the multi-parameter fusion analysis function when the physiological condition of the monitored object is inapplicable to multi-parameter fusion analysis can be avoided, missed alarm, false alarm and the like are generated, the monitoring of the monitoring device 1000 is more accurate, error correction is avoided, and the risk of application of the multi-parameter fusion technology is reduced to the maximum extent.

Optionally, in one embodiment, the step of the processor 20 invoking the program instructions to perform the step of determining whether the subject has a contraindication of multi-parameter fusion includes:

and extracting parameter characteristics from the at least two types of physiological parameters, and comparing the extracted parameter characteristics with preset parameter models of various contraindications to determine whether the monitored object has the contraindication of multi-parameter fusion. And when the extracted parameter characteristics are matched with one or more preset contraindications of various contraindications, determining that the monitored object has the contraindication of multi-parameter fusion. And when the extracted parameter characteristics do not match any preset contraindication of various contraindications, determining that the monitored object does not have the contraindication of multi-parameter fusion. Specifically, the processor 20 identifies certain contraindications and treatment scenarios by extracting and analyzing characteristics of the at least two types of physiological parameters over a period of time, such as specific changes in blood oxygen pulse waves caused by intermittent external compression and artificial respiration during cardiopulmonary resuscitation, and automatically identifies such scenarios by analyzing characteristics of such waveforms, and other identifiable contraindications and treatment scenarios include, but are not limited to, severe peripheral circulation disorders, severe precordial disease, aortic balloon counterpulsation, extracorporeal circulation machine treatment, extracorporeal membrane oxygenation, and the like.

Therefore, whether the monitored object has the contraindication of multi-parameter fusion can be judged by comparing the parameter characteristics of various multi-parameter fusion contraindications.

determining whether the monitored object has contraindications of multi-parameter fusion by responding to human-computer interaction operation, wherein the human-computer interaction operation comprises at least one of operation of input through a dialog box, input through mouse/keyboard clicking, input through a screen hot key, input through a physical key, input through voice control, input through gesture recognition and input through video monitoring.

Therefore, medical staff can manually determine whether the monitored object has contraindications of multi-parameter fusion by only selecting one of the output modes, and the operation of the medical staff is convenient.

analyzing an electronic medical record system of the monitored object to determine whether the monitored object has a contraindication of multi-parameter fusion, wherein the electronic medical record system comprises at least one of a hospital information management system, a clinical information system, a patient management system, a clinical workstation management system and a clinical critical care management system.

Optionally, in one embodiment, the step performed by the processor 20 by invoking the program instructions to determine whether the subject has a contraindication of multi-parameter fusion includes:

at least one data of the medical history, the diagnosis information and the medical advice of the monitored object is acquired from the electronic medical record system in a wired or wireless mode, and the data is analyzed in a natural language processing or keyword matching mode to determine whether the monitored object has contraindications of multi-parameter fusion.

Therefore, whether the monitored object has contraindications of multi-parameter fusion can be determined through an electronic medical record system and the like.

Alternatively, in one embodiment, the processor 20 is disposed on the monitoring device 1000, the multi-parameter acquisition module component, or the central station system (including the central station and the monitoring device 1000) separately, or disposed on at least two of the monitoring device 1000, the multi-parameter acquisition module component, or the central station system separately.

It is understood that the deployment position of the processor 20 is not limited, and can be adjusted according to actual needs as long as the functions thereof can be realized.

It is understood that, in the actual use process, the fusibility judgment is performed on the at least two types of physiological parameters from at least two aspects of signal quality analysis, homology analysis and contraindication ratio respectively to obtain at least two intermediate judgment results, and the processor 20 may process the at least two types of physiological parameters in series or in parallel. For example, when the serial processing is performed, the fusibility judgment is performed from the aspect of signal quality analysis, when at least two types of physiological parameters are determined to meet the preset quality requirement, the homology of the at least two types of physiological parameters is analyzed, and whether the contraindication of multi-parameter fusion exists in the monitored object is judged; when the at least two types of physiological parameters are determined to be homologous and the monitored object is determined not to have contraindications not suitable for multi-parameter fusion, outputting a comprehensive judgment result suitable for multi-parameter fusion; or when determining that the at least two types of physiological parameters are different sources and/or determining that the monitored object has contraindications not suitable for multi-parameter fusion, outputting a comprehensive judgment result of the non-suitable multi-parameter fusion; for another example, when parallel processing is performed, at least two intermediate determination results are obtained by performing fusibility determination on at least two aspects of signal quality analysis, homology analysis and contraindication ratio, respectively, and then a comprehensive determination result is obtained based on the at least two intermediate determination results.

Alternatively, in the second embodiment, the multi-parameter fusion analysis apparatus 100 is similar to the multi-parameter fusion analysis apparatus 100 described above, except that in the second embodiment, the processor 20 calls the program instructions to perform the following steps:

acquiring at least two types of physiological parameters of a monitored object;

Therefore, in the application, the fusibility analysis can be performed on the at least two types of physiological parameters from one aspect of signal quality analysis, homology analysis or contraindication comparison to obtain an analysis result, and the multi-parameter fusion analysis function is manually or automatically turned on or turned off based on the analysis result, so that the operation of medical staff is facilitated.

Further, in one embodiment, the analysis result at least includes one of the judgment results of "applicable multi-parameter fusion" and "not applicable multi-parameter fusion".

When the analysis result comprises a judgment result of 'inapplicable multi-parameter fusion', the output displays the analysis result, or responds to the analysis result, and controls the monitoring equipment to start or close a multi-parameter fusion analysis function, wherein the judgment result comprises at least one of the following:

outputting and displaying information prompt of 'inapplicable multi-parameter fusion';

outputting and displaying an interface for a user to select between opening and closing the multi-parameter fusion analysis function by clicking the display screen; and

and controlling the monitoring equipment to close the multi-parameter fusion analysis function.

When the analysis result comprises a judgment result of 'applicable multi-parameter fusion', the output displays the analysis result, or responds to the analysis result, and controls the monitoring device to start or close a multi-parameter fusion analysis function, wherein the analysis result comprises at least one of the following:

outputting and displaying an information prompt of 'applicable multi-parameter fusion';

and controlling the monitoring equipment to open a multi-parameter fusion analysis function.

Therefore, in the present application, the multi-parameter fusion analysis function may be turned on or off according to the analysis result, regardless of whether the analysis result includes a determination result that "multi-parameter fusion is applicable" or whether the analysis result includes a determination result that "multi-parameter fusion is not applicable".

Optionally, in one embodiment, the analysis result includes an index for evaluating whether a multi-parameter fusion analysis function is applicable.

Specifically, when the at least two types of physiological parameters are analyzed from the aspect of signal quality analysis, an index for evaluating whether the multi-parameter fusion analysis function is applicable may be obtained according to the signal quality, for example, the total index for the multi-parameter fusion analysis function is 100 points, and when the index for the multi-parameter fusion analysis function is smaller than a preset threshold, for example, 60 points, the medical staff is reminded that the confidence of the currently fused physiological parameter is not high.

Optionally, in one embodiment, the step executed by the processor 20 by calling the program instructions includes:

when performing fusion analysis in the aspect of signal quality analysis, judging whether the quality of the at least two types of physiological parameters meets the preset quality requirement;

obtaining a judgment result of 'applicable multi-parameter fusion' when at least one type of physiological parameters meet the preset quality requirement; or,

and obtaining a judgment result of 'inapplicable multi-parameter fusion' when the at least two types of physiological parameters do not accord with the judgment result of the preset quality requirement.

Therefore, in the present application, the multi-parameter fusion determination may be performed only from the aspect of signal quality analysis, so as to turn on or off the multi-parameter fusion analysis function.

analyzing the homology of the at least two types of physiological parameters when performing fusibility analysis in terms of homology analysis;

determining the homology of the at least two types of physiological parameters to obtain a judgment result of 'applicable multi-parameter fusion'; or,

and obtaining a judgment result of 'inapplicable multi-parameter fusion' when determining that the at least two types of physiological parameters are different sources.

Thus, in the present application, it is also possible to perform the multi-reference fusion judgment only from the aspect of homology analysis to turn on or off the multi-reference fusion analysis function.

when the contraindication of multi-parameter fusion of the monitored object is determined, a judgment result of 'inapplicable multi-parameter fusion' is obtained; or,

and obtaining a judgment result of 'being suitable for multi-parameter fusion' when the monitored object is determined not to have the contraindication of multi-parameter fusion.

Therefore, in the application, the multi-parameter fusion judgment can be performed only in the contraindication comparison aspect, so as to turn on or turn off the multi-parameter fusion analysis function.

It is to be understood that the contraindications are the same as in the first embodiment and will not be described in detail here.

Alternatively, in one embodiment, the control unit 40 is disposed on the monitoring device 1000, the multi-parameter acquisition module component or the central station system (including the central station and the monitoring device 1000) separately, or disposed on at least two of the monitoring device 1000, the multi-parameter acquisition module component or the central station system separately.

Referring to fig. 2, fig. 2 is a flowchart illustrating a multi-parameter fusion analysis method executed by a monitoring device according to a first embodiment of the present application. It will be appreciated that the order of the steps of the multi-reference fusion assay method may vary. Specifically, the multi-parameter fusion analysis method comprises the following steps:

step 21: acquiring at least two types of physiological parameters of a monitored object;

step 22: performing fusibility judgment on the at least two types of physiological parameters from at least two aspects of signal quality analysis, homology analysis and contraindication ratio respectively to obtain at least two intermediate judgment results, wherein the intermediate judgment results comprise one of 'applicable multi-parameter fusion' and 'inapplicable multi-parameter fusion';

step 23: and obtaining a comprehensive judgment result based on the at least two intermediate judgment results.

Therefore, the multi-parameter fusion analysis function has a certain application range, so that the applicability condition of the multi-parameter fusion analysis function is comprehensively judged before the multi-parameter fusion analysis is started, and specifically, at least two intermediate judgment results are obtained by respectively carrying out fusibility judgment on at least two aspects of signal quality analysis, homology analysis and contraindication ratio on at least two types of collected physiological parameters, wherein the intermediate judgment results comprise one of 'applicable multi-parameter fusion' and 'inapplicable multi-parameter fusion'; obtaining a comprehensive judgment result based on the at least two intermediate judgment results; and the comprehensive judgment result is used for judging whether the multi-parameter fusion analysis function is suitable to be opened or not. Therefore, the error correction caused by multi-parameter fusion analysis when the physiological condition of the monitored object is not suitable for multi-parameter fusion analysis can be avoided, so that missed alarm, false alarm and the like are generated, the monitoring is more accurate, the error correction is avoided, and the risk of the application of the multi-parameter fusion technology is reduced to the maximum extent.

Optionally, in one embodiment, the acquired physiological parameters of the subject include at least two of an electrocardiographic parameter, a blood oxygen parameter, a blood pressure (invasive and/or non-invasive) parameter, and a respiratory parameter. Therefore, the multi-parameter fusion can be carried out when the multi-parameter fusion is suitable or not suitable by collecting at least two physiological parameters of the electrocardio parameters, the blood oxygen parameters, the blood pressure (invasive and/or non-invasive) parameters and the respiratory parameters and carrying out multi-parameter fusion analysis.

Optionally, in one embodiment, the method further includes:

and outputting and displaying the comprehensive judgment result.

Optionally, in another embodiment thereof, the method further comprises:

and responding to the comprehensive judgment result, and controlling the monitoring equipment to start or close the multi-parameter fusion analysis function.

Optionally, in an embodiment, when performing the fusibility determination from the aspect of signal quality analysis, the method specifically includes:

judging whether the quality of the at least two types of physiological parameters meets the preset quality requirement or not;

Alternatively, in one embodiment, when determining fusibility from the homology analysis aspect, the method specifically comprises:

analyzing the homology of the at least two types of physiological parameters;

Optionally, in one embodiment, when determining fusibility from contraindication comparison, the method specifically includes:

determining whether the subject has contraindications for multi-parameter fusion;

Optionally, in one embodiment, the method includes:

Therefore, in the application, when the comprehensive judgment result of 'being suitable for multi-parameter fusion' is obtained according to the intermediate judgment result, the monitoring equipment is controlled to start the multi-parameter fusion analysis function; when a comprehensive judgment result of 'inapplicable multi-parameter fusion' is obtained according to the intermediate judgment result, the monitoring equipment is controlled to close the multi-parameter fusion analysis function, so that error correction caused by executing the multi-parameter fusion analysis function when the physiological condition of the monitored object is inapplicable to multi-parameter fusion analysis can be avoided, missed alarm, false alarm and the like are generated, the monitoring is more accurate, the error correction is avoided, and the risk of application of the multi-parameter fusion technology is reduced to the maximum extent.

Optionally, in one embodiment, the determining whether the subject has a contraindication of multi-parameter fusion includes:

Referring to fig. 3, fig. 3 is a schematic flow chart of a multi-parameter fusion analysis method in a second embodiment of the present application. The order of steps included in the multi-parameter fusion analysis method may vary. Specifically, the multi-parameter fusion analysis method comprises the following steps:

step 31: at least two types of physiological parameters of a subject are acquired.

Step 32: and performing fusibility analysis on the at least two types of physiological parameters from the aspects of signal quality analysis, homology analysis or contraindication comparison to obtain an analysis result.

Step 33: and outputting and displaying the analysis result, and/or responding to the analysis result to control the monitoring equipment to start or close the multi-parameter fusion analysis function.

Optionally, in one embodiment, the analysis result includes at least one of a judgment result of "apply multi-parameter fusion" and a judgment result of "not apply multi-parameter fusion".

Optionally, in one embodiment, when performing the fusibility analysis from the aspect of the signal quality analysis, the method comprises:

Alternatively, in one embodiment, when performing the fusibility analysis in terms of homology analysis, the method comprises:

analyzing the homology of the at least two types of physiological parameters;

Optionally, in one embodiment, the method for determining fusibility in contraindication alignment comprises:

Embodiments of the present application further provide a computer storage medium, where the computer storage medium is used to store a computer program, and the computer program enables a computer to execute part or all of the steps of any one of the multi-parameter fusion analysis methods described in the above method embodiments.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the multi-parameter fusion analysis methods as described in the above method embodiments.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed rf device may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In several embodiments provided in the present application, the determining unit, the deciding unit and the controlling unit are processing modules integrated on a processor, or several functional modules implemented by the processor running a computer program stored in a memory. The Processor may be, but is not limited to, a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP) on a modem, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like.

Each functional unit in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.

The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and embodiments of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A multi-parameter fusion analysis method is applied to monitoring equipment and is characterized by comprising the following steps:

acquiring at least two types of physiological parameters of a monitored object;

2. The multi-parameter fusion analysis method of claim 1, further comprising:

and outputting and displaying the comprehensive judgment result, and/or responding to the comprehensive judgment result to control the monitoring equipment to start or close the multi-parameter fusion analysis function.

3. The multi-parameter fusion analysis method according to claim 1 or 2, wherein when the fusibility determination is performed from the aspect of signal quality analysis, at least one intermediate determination result is obtained, the method further comprises:

and obtaining an intermediate judgment result of 'being suitable for multi-parameter fusion' when at least one type of physiological parameters meets the preset quality requirement, or obtaining an intermediate judgment result of 'being not suitable for multi-parameter fusion' when at least two types of physiological parameters do not meet the preset quality requirement.

4. The multi-reference fusion analysis method according to any one of claims 1 to 3, wherein when the determination of fusibility is made in terms of homology analysis, resulting in at least one intermediate determination, the method further comprises:

analyzing the homology of the at least two types of physiological parameters;

when the at least two types of physiological parameters are determined to be homologous, an intermediate judgment result of 'applicable multi-parameter fusion' is obtained, or when the at least two types of physiological parameters are determined to be different, an intermediate judgment result of 'inapplicable multi-parameter fusion' is obtained.

5. The multi-parameter fusion analysis method according to any one of claims 1 to 4, wherein when the fusibility determination is performed from a contraindication comparison aspect to obtain at least one intermediate determination result, the method further comprises:

when the monitored object is determined to have the contraindication of multi-parameter fusion, an intermediate judgment result of 'not suitable for multi-parameter fusion' is obtained, or when the monitored object is determined to have no contraindication of multi-parameter fusion, an intermediate judgment result of 'suitable for multi-parameter fusion' is obtained.

6. The multi-parameter fusion analysis method according to any one of claims 1 to 5, wherein when the at least two types of physiological parameters are respectively determined for fusibility from at least two aspects of signal quality analysis, homology analysis and contraindications, said obtaining a comprehensive determination result based on the at least two intermediate determination results comprises:

the response to the comprehensive judgment result to start or close the multi-parameter fusion analysis function comprises the following steps: when the comprehensive judgment result is 'suitable for multi-parameter fusion', starting a multi-parameter fusion analysis function;

and when the comprehensive judgment result is that the multi-parameter fusion is not applicable, closing the multi-parameter fusion analysis function.

7. The multi-parameter fusion analysis method of claim 5, wherein the determining whether the subject has contraindications for multi-parameter fusion comprises:

and extracting parameter characteristics from the at least two types of physiological parameters, and comparing the extracted parameter characteristics with preset parameter models of various contraindications to determine whether the monitored object has the contraindication of multi-parameter fusion.

8. The multi-parameter fusion analysis method of claim 5, wherein the determining whether the subject has contraindications for multi-parameter fusion comprises:

9. The multi-parameter fusion analysis method of claim 5, wherein the determining whether the subject has contraindications for multi-parameter fusion comprises:

10. The multi-parameter fusion analysis method of claim 9, wherein the determining whether the subject has contraindications for multi-parameter fusion comprises:

11. The multi-parameter fusion analysis method according to any one of claims 1 to 10, wherein the at least two types of physiological parameters include at least two of an electrocardiographic parameter, a blood oxygen parameter, a blood pressure parameter, and a respiratory parameter.

12. A multi-parameter fusion analysis method applied to a monitoring device, wherein the monitoring device comprises a display screen for receiving operation input by a user, and the method comprises the following steps:

acquiring at least two types of physiological parameters of a monitored object;

13. The multi-parameter fusion analysis method according to claim 12, wherein the analysis result at least includes one of a judgment result of "applicable multi-parameter fusion" and a judgment result of "not applicable multi-parameter fusion", and when the analysis result includes a judgment result of "not applicable multi-parameter fusion", the output displays the analysis result, or controls the monitoring device to turn on or off a multi-parameter fusion analysis function in response to the analysis result, including at least one of:

14. The multi-parameter fusion analysis method according to claim 12 or 13, wherein the analysis result includes an index for evaluating whether a multi-parameter fusion analysis function is applicable.

15. The multi-parameter fusion analysis method according to any one of claims 12 to 14, wherein when performing the fusibility analysis from the aspect of signal quality analysis, resulting in an analysis result, the method further comprises:

and obtaining a judgment result of 'applicable multi-parameter fusion' when at least one type of physiological parameters meets the preset quality requirement, or obtaining a judgment result of 'inapplicable multi-parameter fusion' when the at least two types of physiological parameters do not meet the judgment result of the preset quality requirement.

16. The multi-reference fusion analysis method according to any one of claims 12 to 15, wherein when the analysis of fusibility is performed in terms of homology analysis, resulting in an analysis result, the method further comprises:

analyzing the homology of the at least two types of physiological parameters;

and determining the homology of the at least two types of physiological parameters to obtain a judgment result of 'applicable multi-parameter fusion', or obtaining a judgment result of 'inapplicable multi-parameter fusion' when the homology analysis module determines that the at least two types of physiological parameters are different.

17. The multi-parameter fusion analysis method according to any one of claims 12 to 16, wherein when the determination of fusibility is made from contraindication comparison, the method further comprises:

when the monitored object is determined to have the contraindication of multi-parameter fusion, a judgment result of 'not suitable for multi-parameter fusion' is obtained, or when the monitored object is determined to have no contraindication of multi-parameter fusion, a judgment result of 'suitable for multi-parameter fusion' is obtained.

18. The multi-parameter fusion analysis method according to any one of claims 12 to 17, wherein the acquired physiological parameters of the monitored subject include at least two of an electrocardiographic parameter, a blood oxygen parameter, a blood pressure parameter, and a respiratory parameter.

19. A monitoring device comprising a signal collector for collecting at least two types of physiological parameters of a subject, a processor, a memory, and a plurality of program instructions stored in the memory, the processor invoking the plurality of program instructions to perform the steps of:

performing fusion judgment on at least two types of physiological parameters acquired by the signal acquisition device from at least two aspects of signal quality analysis, homology analysis and contraindication ratio respectively to obtain at least two intermediate judgment results, wherein the intermediate judgment results comprise one of 'applicable multi-parameter fusion' and 'inapplicable multi-parameter fusion';

20. The monitoring device of claim 19, further comprising a display, wherein the processor invokes the plurality of program instructions to further perform the steps of:

and controlling the display to output and display the comprehensive judgment result, and/or responding to the comprehensive judgment result to control the monitoring equipment to start or close the multi-parameter fusion analysis function.

21. The monitoring device of claim 19 or 20, wherein the processor invokes the program instructions to further perform the steps of:

when the fusibility judgment is carried out in the aspect of signal quality analysis to obtain at least one intermediate judgment result, judging whether the quality of the at least two types of physiological parameters meets the preset quality requirement or not;

22. The monitoring device of any one of claims 19-21, wherein the processor invokes the program instructions to further perform the steps of:

analyzing the homology of the at least two types of physiological parameters when performing fusibility judgment from the aspect of homology analysis to obtain at least one intermediate judgment result;

23. The monitoring device of any one of claims 19-22, wherein the processor invokes the program instructions to further perform the steps of:

when the fusibility judgment is carried out in the contraindication comparison aspect to obtain at least one intermediate judgment result, whether the monitored object has the contraindication of multi-parameter fusion is determined;

24. The monitoring device of any one of claims 19 to 23, wherein the processor invokes the program instructions to further perform the step of obtaining a comprehensive judgment result based on the at least two intermediate judgment results when performing the fusibility judgment on the at least two types of physiological parameters from at least two aspects of signal quality analysis, homology analysis and contraindication comparison, respectively, comprising:

the step of calling the program instructions and further executing by the processor, "responding to the comprehensive judgment result and controlling the monitoring equipment to start or close the multi-parameter fusion analysis function", includes:

25. The monitoring device of claim 23, wherein the processor invokes the program instructions to further perform the step of "determining whether the subject has contraindications for multi-parameter fusion" comprising:

26. The monitoring device of claim 23, wherein the processor invokes the program instructions to further perform the step of "determining whether the subject has contraindications for multi-parameter fusion" comprising:

27. The monitoring device of claim 23, wherein the processor invokes the program instructions to further perform the step of "determining whether the subject has contraindications for multi-parameter fusion" comprising:

28. The monitoring device of claim 27, wherein the processor invokes the program instructions to further perform the step of "determining whether the subject has contraindications for multi-parameter fusion", further comprising:

29. The monitoring device of any one of claims 19-28, wherein the at least two types of physiological parameters include at least two of an electrocardiographic parameter, a blood oxygenation parameter, a blood pressure parameter, and a respiratory parameter.

30. The monitoring device of any one of claims 19 to 29, wherein the monitoring device is any one of a monitor, a local central station, a remote central station, a cloud service system, and a mobile terminal.

31. A computer-readable storage medium, in which a computer program is stored, which, when invoked and executed by a processor, performs the steps of the multi-parameter fusion analysis method according to any one of claims 1 to 18.