CN114073533B

CN114073533B - Method for early warning of electrocardiosignal ST segment

Info

Publication number: CN114073533B
Application number: CN202010803635.0A
Authority: CN
Inventors: 叶志刚
Original assignee: SHENZHEN CREATIVE INDUSTRY CO LTD
Current assignee: SHENZHEN CREATIVE INDUSTRY CO LTD
Priority date: 2020-08-11
Filing date: 2020-08-11
Publication date: 2024-01-26
Anticipated expiration: 2040-08-11
Also published as: CN114073533A; WO2022032941A1

Abstract

The embodiment of the invention relates to a method for early warning an electrocardiosignal ST segment, which comprises the following steps: obtaining first potential difference data from the ECG signal; performing potential difference median calculation on all the first potential difference data in the first interval time to obtain second potential difference data; dividing four potential intervals, judging the intervals of the continuous second potential difference data, and analyzing and processing the corresponding potential intervals to obtain an analysis result of an electrocardiosignal ST segment: ST segment signal identification information and maximum potential difference data; and then carrying out early warning processing according to the identification of the ST-segment signal identification information and the maximum potential difference data. According to the embodiment of the invention, the monitoring and early warning processing flow of the electrocardiosignal ST section is added in the monitoring flow of the electrocardiograph monitoring equipment, so that the monitoring range of the electrocardiograph monitoring equipment is enlarged, and the early warning capability of the electrocardiograph monitoring equipment is improved.

Description

Method for early warning of electrocardiosignal ST segment

Technical Field

The invention relates to the technical field of signal processing, in particular to a method for early warning of an electrocardiosignal ST segment.

Background

The electrocardiographic monitoring device is a device for monitoring the electrical activity of the heart, and after acquiring a real-time Electrocardiogram (ECG) signal of a patient, the electrocardiographic monitoring device identifies the signal to obtain corresponding identification information, and further activates corresponding early warning operation according to the identification information to prompt medical staff to intervene or treat the state of the patient in time. Typical waveforms in an ECG signal include: the P-wave, QRS-wave complex (consisting of Q-wave, R-wave and S-wave) and T-wave, there is a flat waveform between the QRS-wave complex and T-wave, called the ST-wave signal. Normally, the ST segment signal should coincide with or be very close to the equipotential lines of the ECG signal. The elevation of the ST segment means that the ST segment signal is above an equipotential line, and the elevation of the ST segment is possibly caused by myocardial infarction in the hyperacute stage or the acute stage, variant angina, acute pericarditis, acute myocarditis, myocardial injury after cardiac operation, left bundle branch block, left ventricular hypertrophy, hypertrophic cardiomyopathy and the like; ST depression refers to the ST-segment signal being below the isoelectric line, which may be due to typical angina, various cardiomyopathy, ventricular hypertrophy, myocarditis, right bundle branch block, left bundle branch block, pre-excitation syndrome, digitalis effect, autonomic dysfunction, chronic myocardial ischemia, etc.

Disclosure of Invention

The invention aims at overcoming the defects of the prior art, and provides a method, electronic equipment, a computer program product and a computer readable storage medium for early warning of an electrocardiosignal ST section.

To achieve the above object, a first aspect of the present invention provides a method for early warning an electrocardiograph signal ST segment, the method including:

acquiring an Electrocardiogram (ECG) signal; selecting potential difference base points and ST segment signal sampling points from the ECG signals, and generating first potential difference data according to potential differences of the ST segment signal sampling points and the potential difference base points;

every first interval time, performing potential difference median calculation on all the first potential difference data obtained in the nearest first interval time to generate second potential difference data;

when the first number of the second potential difference data which are obtained recently meet a first potential interval, performing first potential interval analysis processing according to the first number, the first interval time and a first time length threshold value to generate ST segment signal identification information and maximum potential difference data;

When the second potential difference data of the second quantity which is obtained recently all meet a second potential interval, carrying out second potential interval analysis processing according to the second quantity, the first interval time, the first time length threshold value and a second time length threshold value, and generating the ST-segment signal identification information and the maximum potential difference data;

when the third number of the second potential difference data which are obtained recently meet a third potential interval, performing third potential interval analysis processing according to the third number, the first interval time and the first time length threshold value, and generating the ST-segment signal identification information and the maximum potential difference data;

when the fourth number of the second potential difference data which are obtained recently meet a fourth potential interval, performing fourth potential interval analysis processing according to the fourth number, the first interval time, the first time length threshold value and the second time length threshold value, and generating the ST-segment signal identification information and the maximum potential difference data;

and carrying out ST-segment signal early warning processing according to the ST-segment signal identification information and the maximum potential difference data.

Preferably, the selecting a potential difference base point and an ST segment signal sampling point in the ECG signal, generating first potential difference data according to a potential difference between the ST segment signal sampling point and the potential difference base point, specifically includes:

selecting a starting point of a QRS complex signal from the ECG signal as the potential difference base point, and acquiring signal potential amplitude data of the potential difference base point to generate base point potential data; selecting the ST-segment signal sampling point from the ST-segment signal, and acquiring signal potential amplitude data of the ST-segment signal sampling point to generate sampling point potential data; generating the first potential difference data according to the difference value between the sampling point potential data and the base point potential data; the ECG signal includes at least the QRS complex signal and the ST segment signal; the time interval from the ST segment signal sampling point to the starting point of the ST segment signal is a sampling point time threshold; the time unit of the sampling point time threshold is millisecond ms.

Preferably, the method further comprises:

the time units of the first interval time, the first time length threshold and the second time length threshold are all minutes; the data units of the first potential difference data and the second potential difference data are millivolt mv;

The first potential interval is a data range of not less than 0mv and less than a first interval threshold; the second potential interval is a data range not smaller than a second interval threshold; the third potential interval is a data range of not more than 0mv and more than a third interval threshold; the fourth potential interval is a data range not greater than a fourth interval threshold; the first interval threshold is smaller than the second interval threshold, and the third interval threshold is larger than the fourth interval threshold; the data units of the first, second, third and fourth interval thresholds are millivolts mv;

the ST segment signal identification information includes normal ST segment signal information, transient ST segment elevation signal information, persistent ST segment elevation signal information, transient ST segment depression signal information, and persistent ST segment depression signal information.

Preferably, when the first number of the second potential difference data obtained recently satisfies a first potential interval, performing a first potential interval analysis process according to the first number, the first interval time and a first time length threshold, and generating ST-segment signal identification information and maximum potential difference data specifically includes:

generating first duration data according to a product of the first number and the first interval time when the first number of the second potential difference data obtained recently satisfies the first potential interval;

When the first duration data is less than the first time length threshold, the ST segment signal identification information is the normal ST segment signal information, and a maximum value of the first number of the second potential difference data is taken as the maximum potential difference data;

and when the first duration time data is not smaller than the first time length threshold value, the ST segment signal identification information is the normal ST segment signal information, and the first interval threshold value is used as the maximum potential difference data.

Preferably, when the second potential difference data of the second number obtained recently satisfies a second potential interval, performing a second potential interval analysis process according to the second number, the first interval time, the first time length threshold value and the second time length threshold value, and generating the ST segment signal identification information and the maximum potential difference data specifically includes:

generating second duration data according to a product of the second number and the first interval time when the second potential difference data of the second number obtained recently all satisfy the second potential interval;

when the second duration time data is smaller than the first time length threshold value, the ST segment signal identification information is the normal ST segment signal information, and the first interval threshold value is taken as the maximum potential difference data;

When the second duration data is not less than the first time length threshold and is less than the second time length threshold, the ST segment signal identification information is the transitional ST segment elevation signal information, and a maximum value of the second number of the second potential difference data is taken as the maximum potential difference data;

when the second duration data is not less than the second time length threshold, the ST segment signal identification information is the persistent ST segment elevation signal information, and a maximum value of the second number of the second potential difference data is taken as the maximum potential difference data.

Preferably, when the third number of the second potential difference data obtained recently satisfies a third potential interval, performing third potential interval analysis processing according to the third number, the first interval time and the first time length threshold, and generating the ST segment signal identification information and the maximum potential difference data specifically includes:

generating third duration data according to the product of the third number and the first interval time when the third number of the second potential difference data obtained recently all meet the third potential interval;

When the third duration data is less than the first time length threshold, the ST segment signal identification information is the normal ST segment signal information, and a minimum value of the third number of the second potential difference data is taken as the maximum potential difference data;

and when the third duration time data is not smaller than the first time length threshold value, the ST segment signal identification information is the normal ST segment signal information, and the third interval threshold value is used as the maximum potential difference data.

Preferably, when the fourth number of the second potential difference data obtained recently satisfies a fourth potential interval, performing fourth potential interval analysis processing according to the fourth number, the first interval time, the first time length threshold value and the second time length threshold value, and generating the ST segment signal identification information and the maximum potential difference data specifically includes:

generating fourth duration data according to the product of the fourth number and the first interval time when the fourth number of the second potential difference data obtained recently all satisfy the fourth potential interval;

when the fourth duration time data is smaller than the first time length threshold value, the ST segment signal identification information is the normal ST segment signal information, and the third interval threshold value is used as the maximum potential difference data;

When the fourth duration data is not less than the first time length threshold and is less than the second time length threshold, the ST segment signal identification information is the transitional ST segment depression signal information, and a minimum value of the fourth number of the second potential difference data is taken as the maximum potential difference data;

when the fourth duration data is not less than the second time length threshold, the ST segment signal identification information is the persistent ST segment depression signal information, and a minimum value of the fourth number of the second potential difference data is taken as the maximum potential difference data.

Preferably, the performing ST-segment signal early warning processing according to the ST-segment signal identification information and the maximum potential difference data specifically includes:

when the ST signal identification information is the normal ST signal information, normal ST signal information display processing is carried out on the ST signal identification information and the maximum potential difference data; when the ST segment signal identification information is the transient ST segment elevation signal information or the persistent ST segment elevation signal information, ST segment elevation early warning processing is carried out on the ST segment signal identification information and the maximum potential difference data; and when the ST-segment signal identification information is the transient ST-segment depression signal information or the persistent ST-segment depression signal information, performing ST-segment depression early warning processing on the ST-segment signal identification information and the maximum potential difference data.

A second aspect of an embodiment of the present invention provides an electronic device, including: memory, processor, and transceiver;

the processor is configured to couple to the memory, and read and execute the instructions in the memory, so as to implement the method steps described in the first aspect;

the transceiver is coupled to the processor and is controlled by the processor to transmit and receive messages.

A third aspect of the embodiments of the present invention provides a computer program product comprising computer program code which, when executed by a computer, causes the computer to perform the method of the first aspect described above.

A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.

The method, the electronic equipment, the computer program product and the computer readable storage medium for early warning of the electrocardiosignal ST segment increase the monitoring and early warning processing flow of the electrocardiosignal ST segment in the monitoring flow of the electrocardiosignal monitoring equipment, expand the monitoring range of the electrocardiosignal monitoring equipment and improve the early warning capability of the electrocardiosignal monitoring equipment.

Drawings

Fig. 1 is a schematic diagram of a method for early warning of an electrocardiograph signal ST segment according to a first embodiment of the present invention;

FIG. 2a is a schematic diagram of an ECG signal according to a first embodiment of the present invention;

FIG. 2b is a schematic diagram of an ECG signal with elevation of ST signals provided in accordance with an embodiment of the present invention;

FIG. 2c is a schematic diagram of an ECG signal with low ST-segment signal provided by an embodiment of the present invention;

FIG. 3a is a schematic diagram of four potential intervals according to a first embodiment of the present invention;

FIG. 3b is a schematic diagram showing a first potential difference interval between the first potential differences according to the first embodiment of the present invention;

FIG. 3c is a schematic diagram showing the second potential difference data provided by the first embodiment of the invention in the second potential interval;

FIG. 3d is a diagram showing the second potential difference data in a third potential interval according to the first embodiment of the invention;

FIG. 3e is a diagram showing a fourth potential difference interval of the second potential difference data according to the first embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device according to a second embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The first embodiment of the invention provides a method for early warning of an electrocardiosignal ST segment, which adds a process flow for identifying and early warning that the ST segment signal in the electrocardiosignal is raised or depressed in a monitoring flow of the electrocardiosignal monitoring device, expands the monitoring range of the electrocardiosignal monitoring device and improves the early warning capability of the electrocardiosignal monitoring device. Every time an ECG signal is obtained by the electrocardiograph monitoring device, first potential difference data between the ST-segment signal and the equipotential lines are extracted from the ECG signal, and data median processing (or data smoothing processing or statistical noise reduction processing) is carried out on all the first potential difference data in the current first interval time (for example, in the last 1 minute) at intervals of first intervals (for example, 1 minute) to obtain second potential difference data; the electrocardiographic monitoring device divides four potential intervals (first, second, third and fourth potential intervals), wherein the first potential interval ranges from 0 to a first interval threshold (the first interval threshold is positive, for example, 0.05 millivolts (mv)), the second potential interval range is not smaller than a second interval threshold (the second interval threshold is positive, for example, 0.1 mv), the third potential interval ranges from the third interval threshold to 0 (the third interval threshold is negative, for example, -0.05 mv), and the fourth interval is not larger than a fourth interval threshold (the fourth interval threshold is negative, for example, -0.1 mv); the electrocardiograph monitoring device continuously monitors and identifies the second potential difference data by taking the first interval time as a time unit according to the four potential intervals: when the continuously obtained second potential difference data fall in the first potential interval or the third potential interval, the electrocardiograph monitoring equipment considers that the ST segment of the electrocardiograph signal is not lifted or depressed, and early warning is not carried out; when the continuously obtained second potential difference data fall in the second potential interval, the electrocardiograph monitoring equipment considers that the ST segment of the electrocardiograph signal is lifted, and early warning corresponding to the ST segment lifting is needed; when the continuously obtained second potential difference data fall in the fourth potential interval, the electrocardiograph monitoring device considers that the ST segment of the electrocardiograph signal is low, and early warning corresponding to the ST segment is needed.

As shown in fig. 1, which is a schematic diagram of a method for early warning of an electrocardiograph signal ST segment according to a first embodiment of the present invention, the method mainly includes the following steps:

step 1, acquiring an ECG signal; selecting potential difference base points and ST-segment signal sampling points in the ECG signals, and generating first potential difference data according to potential differences of the ST-segment signal sampling points and the potential difference base points;

the method specifically comprises the following steps: step 11, the electrocardiograph monitoring device acquires the ECG signal of the patient through direct acquisition of the patient, or acquires the ECG signal of the patient through connection with other ECG acquisition devices, or acquires the ECG signal stored in a database through connection with the database;

wherein the ECG signal comprises a P-wave signal, a QRS complex signal, an ST segment signal, and a T-wave signal;

here, the electrocardiographic monitoring device is a terminal device or a server for monitoring the electrical activity of the heart;

as shown in fig. 2a, which is a schematic diagram of an ECG signal provided in the first embodiment of the present invention, the ECG signal is composed of a P-wave signal, a QRS complex signal and a T-wave signal, and the signal waveform between the end point of the QRS complex signal and the start point of the T-wave signal is an ST-segment signal; the ST segment signal should normally be flat and have a small equipotential or potential difference with the equipotential lines of the ECG signal (the lines between adjacent QRS complex starting points) i.e. the ST segment signal should normally have an equipotential relationship or a small potential difference (e.g., ±0.05 mv) with the QRS complex starting points; when the patient has elevated ST-segment signal potential due to hyperacute or acute myocardial infarction, variant angina, acute pericarditis, acute myocarditis, cardiac injury after cardiac surgery, left bundle branch block, left ventricular hypertrophy, hypertrophic cardiomyopathy, etc., the ECG signal is shown in the ECG signal schematic diagram of ST-segment signal elevation provided in fig. 2 b; when the patient has a low ST-segment signal potential due to typical angina, various cardiomyopathy, ventricular hypertrophy, myocarditis, right bundle branch block, left bundle branch block, pre-excitation syndrome, digitalis effect, autonomic dysfunction, chronic myocardial ischemia and the like, the ECG signal is shown in the schematic diagram of the ECG signal with a low ST-segment signal provided in the embodiment of the present invention in fig. 2 c;

Step 12, selecting a starting point of the QRS complex signal as a potential difference base point in the ECG signal, and acquiring signal potential amplitude data of the potential difference base point to generate base point potential data; selecting an ST-segment signal sampling point in an ST-segment signal, acquiring signal potential amplitude data of the ST-segment signal sampling point, and generating sampling point potential data; generating first potential difference data according to the difference value between the sampling point potential data and the base point potential data;

the time interval from the sampling point of the ST-segment signal to the starting point of the ST-segment signal is a sampling point time threshold; the sampling point time threshold is provided in time units of milliseconds (ms) and the first potential difference data is provided in data units of millivolts mv.

The potential difference base point is the reference point of the ECG signal equipotential line; to calculate the potential difference of the ST segment signal relative to the potential base, a ST segment signal sampling point is first located on the ST segment signal, where the ST segment signal sampling point is a signal point offset from the QRS complex end point by a sampling point time threshold, and the setting range of the sampling point time threshold is typically 0 to 80ms; after setting the ST-segment signal sampling point, obtaining the potential difference of the ST-segment signal by the potential difference between the ST-segment signal sampling point and the potential difference base point (first potential difference data=sampling point potential data-base point potential data); when the ST-segment signal is not significantly raised or depressed, the first potential difference data are substantially within a micro-offset range (e.g., -0.05mv to 0.05 mv); when the ST-segment signal is significantly elevated, the first potential difference data will be in a significantly positive offset range (e.g., greater than 0.1 mv); when the ST-segment signal is significantly depressed, the first potential difference data will be in a significantly negative offset range (e.g., less than-0.1 mv).

Step 2, calculating the median value of the potential difference of all the first potential difference data obtained in the nearest first interval time at intervals of the first interval time to generate second potential difference data;

wherein the first interval time has a time unit of minutes and the second potential difference data has a data unit of millivolts mv.

Here, because the first potential difference data is raw data calculated by the electrocardiograph monitoring device according to each ECG signal, the data size is large and errors or noise data easily occur, the electrocardiograph monitoring device needs to perform noise reduction processing on the raw data before further analyzing the ST-segment signal potential difference, where the median potential difference is a noise reduction manner: taking all first potential difference data in a first interval time as original data, carrying out statistical calculation on the original data to obtain a median value as a representative value of potential differences in the time period, wherein various choices can be made regarding the statistical calculation mode, such as carrying out mean calculation on all data, carrying out weighted mean calculation on all data, or extracting the central value of all data, and the like;

for example, the first interval time is 1 minute, the electrocardiograph monitoring device starts monitoring from 12:00, continuously monitors for 2 minutes, obtains 65 first potential difference data from 12:00 to 12:01, obtains 60 first potential difference data from 12:01 to 12:02, then the electrocardiograph monitoring device performs median calculation on the 65 first potential difference data in 1 st minute to obtain 1 st second potential difference data when 12:01, and performs median calculation on the 60 first potential difference data in 2 nd minute to obtain 2 nd second potential difference data when 12:02.

The electrocardiographic monitoring device is internally provided with four potential intervals (potential difference data intervals) for the second potential difference data as shown in fig. 3a, which is a schematic diagram of four potential intervals provided in the first embodiment of the present invention: first, second, third, and fourth potential sections, wherein the first potential section is a data range of not less than 0mv and less than a first section threshold; the second potential interval is a data range not smaller than a second interval threshold value, and the first interval threshold value is smaller than the second interval threshold value; the third potential interval is a data range of not more than 0mv and more than a third interval threshold; the fourth potential section is a data range not greater than a fourth section threshold, the third section threshold being greater than the fourth section threshold.

After continuously obtaining a plurality of second potential difference data (the time interval between two adjacent second potential difference data should be the first interval time), the electrocardiograph monitoring device further sets two time thresholds (a first time length threshold and a second time length threshold, wherein the first time length threshold is less than the second time length threshold) as a judging condition for judging the state (normal, raised or depressed) of the ST segment signal according to the change trend of the second potential difference data along with time, wherein the raising/depressed state is further subdivided into a transient raising/depressed state and a continuous raising/depressed state during the judging process:

1. When the latest second potential difference data is continuously in the first potential interval, the ST segment of the latest acquired continuous electrocardiosignals is in a normal state; here, the electrocardiographic monitoring device is further configured to subdivide the first duration by setting a first time length threshold (e.g., 1 minute) with the duration of the second potential difference data being continuously in the first potential interval as the first duration;

when the first duration is less than the first time length threshold, taking the maximum value of all the second potential difference data obtained in the first duration as the maximum potential difference data, wherein the maximum potential difference data is used for displaying ST-segment signal potential difference data by the electrocardiograph monitoring equipment;

when the first duration is more than or equal to a first time length threshold, taking the first interval threshold as the maximum potential difference data;

2. when the latest second potential difference data is continuously in the second potential interval, the ST segments of the latest acquired continuous electrocardiosignals are all in an elevated state; here, with the duration of the second potential difference data in the second potential interval being the second duration, the electrocardiograph monitoring device determines the second duration according to the first time length threshold (e.g., 1 minute) and the second time length threshold (e.g., 20 minutes);

When the second duration is less than the first time length threshold, the electrocardiograph monitoring equipment considers that the improvement state possibly has errors, at the moment, the ST-segment signal is set to be in a normal state, and the first interval threshold is taken as the maximum potential difference data;

when the first time length threshold value is less than or equal to the second duration time < the second time length threshold value, the ST segment signal is in a transitional ST segment lifting state, and the maximum value in all second potential difference data obtained in the second duration time is taken as the maximum potential difference data;

when the second duration is more than or equal to a second time length threshold, indicating that the ST segment signal is in a continuous ST segment lifting state, and taking the maximum value of the second potential difference data in the second duration as the maximum potential difference data;

3. when the second potential difference data is continuously in the third potential interval, the ST segment of the last acquired continuous electrocardiosignal is in a normal state; here, with the duration of the second potential difference data being continuously in the third potential interval as a third duration, the electrocardiographic monitoring device subdivides the third duration according to the first time length threshold (e.g., 1 minute);

when the third duration is less than the first time length threshold, taking the minimum value (the minimum value is the maximum value of the absolute value) of the second potential difference data in the third duration as the maximum potential difference data;

When the third duration is more than or equal to the first time length threshold, taking the third interval threshold as the maximum potential difference data;

4. when the second potential difference data is continuously in the fourth potential interval, the ST segment of the last acquired continuous electrocardiosignal is in a low state; here, the duration in which the second potential difference data is continuously in the fourth potential section is the fourth duration; the electrocardiographic monitoring device subdivides the fourth duration according to a first time length threshold (e.g., 1 minute), a second time length threshold (e.g., 20 minutes);

when the fourth duration is less than the first time length threshold, the electrocardiograph monitoring device considers that the improvement state possibly has errors, and at the moment, the ST segment signal is set to be in a normal state, and a third interval threshold is taken as the maximum potential difference data;

when the first time length threshold value is less than or equal to the fourth duration time < the second time length threshold value, the ST-segment signal is in a transient ST-segment depression state, and the minimum value (the minimum value is the maximum value of the absolute value) of the second potential difference data in the fourth duration time is taken as the maximum potential difference data;

when the fourth duration is greater than or equal to the second time length threshold, the ST-segment signal is in a continuous ST-segment depression state, and the minimum value (the minimum value is the maximum value of the absolute value) of the second potential difference data in the fourth duration is taken as the maximum potential difference data.

The above process will be further described in detail by steps 3-6.

Step 3, when the first number of second potential difference data obtained recently meet the first potential interval, performing first potential interval analysis processing according to the first number, the first interval time and the first time length threshold value to generate ST segment signal identification information and maximum potential difference data;

wherein the time unit of the first time length threshold is minutes; the ST segment signal identification information includes normal ST segment signal information, transient ST segment elevation signal information, persistent ST segment elevation signal information, transient ST segment depression signal information, and persistent ST segment depression signal information;

the electrocardiograph monitoring device analyzes and processes the condition that the second potential difference data is continuously in the first potential interval and outputs ST-segment signal identification information and maximum potential difference data; the ST segment signal identification information is an analysis processing result of the ST segment signal, and the maximum potential difference data is the maximum potential difference data of the ST segment;

the method specifically comprises the following steps: step 31, generating first duration data according to the product of the first quantity and the first interval time;

here, it is first necessary to calculate the duration (first duration) of the second potential difference data lasting in the first potential interval, and as can be seen from the foregoing, the second potential difference data is generated at intervals of a first interval, so that the interval between the 1 st second potential difference data and the start time, and the interval between two adjacent second potential difference data are all first intervals, and then the first duration can be obtained according to the number (first number) of the second potential difference data in the first potential interval and the first interval: first duration = first number first interval time;

For example, as shown in fig. 3b, which is a schematic diagram of the second potential difference data provided in the first embodiment of the present invention in the first potential interval, the second potential difference data continuously generated currently are all in the first potential interval, the number (first number) of the second potential difference data is 5, the first interval time is 1 minute, and then the first duration time is 5 minutes;

step 32, when the first duration data is smaller than the first time length threshold, the ST segment signal identification information is normal ST segment signal information, and the maximum value of the first number of second potential difference data is taken as the maximum potential difference data;

here, the first time length threshold is a time threshold for judging whether the second potential difference data is error or noise data, when the first duration is smaller than the first time length threshold, the identification state of the current ST section signal is not changed by default, or the current ST section signal is in a normal state by default, the ST section signal identification information is normal ST section signal information, and the maximum value of all the second potential difference data obtained in the first duration is taken as the maximum potential difference data;

for example, the 1 ST second potential difference data is 0.03mv, the 2 nd second potential difference data is 0.02mv, the first number is 2, the first interval time is 0.2 minutes, the first time length threshold is 1 minute, the first duration time is 2×0.2=0.4 minutes, the first duration time is less than the first time length threshold, the ST segment signal identification information is normal ST segment signal information, and the maximum potential difference data is 0.03mv (the maximum value of the 1 ST and 2 second potential difference data: the 1 ST second potential difference data);

Step 33, when the first duration data is not less than the first time length threshold, the ST segment signal identification information is normal ST segment signal information, and the first interval threshold is taken as the maximum potential difference data.

Here, when the first duration exceeds the first time length threshold, it is indicated that the potential difference of the ST segment signal of the currently continuously acquired electrocardiograph signal is continuously stabilized in the first potential interval, and the ST segment signal identification information should be the normal ST segment signal information, and the maximum potential difference data is the first interval threshold, as described above.

For example, the first number is 5, the 1 ST to 5 th second potential difference data are 0.03mv, 0.02mv, 0.03mv, 0.32mv, and 0.03mv in this order, the first interval time is 1 minute, the first time length threshold is 1 minute, the first duration is 5*1 =5 minutes, the first interval threshold is 0.05mv, the first duration is greater than the first time length threshold, the ST-segment signal identification information is normal ST-segment signal information, and the maximum potential difference data defaults to the first interval threshold of 0.05mv.

Step 4, when the second potential difference data of the second quantity which is obtained recently all meet the second potential interval, carrying out analysis processing on the second potential interval according to the second quantity, the first interval time, the first time length threshold value and the second time length threshold value, and generating ST segment signal identification information and the maximum potential difference data;

Wherein the time unit of the second time length threshold is minutes;

the electrocardiograph monitoring device analyzes and processes the condition that the second potential difference data are continuously in the second potential interval;

the method specifically comprises the following steps: step 41, generating second duration data according to the product of the second number and the first interval time;

here, first, it is necessary to calculate the duration (second duration) for which the second potential difference data is continuously in the second potential section, similarly to the first duration in step 31, the second duration=the second number;

for example, as shown in fig. 3c, which is a schematic diagram of the second potential difference data provided in the first embodiment of the present invention in the second potential interval, the second potential difference data continuously generated currently are all in the second potential interval, the number of the second potential difference data (second number) is 5, the first interval time is 1 minute, and then the second duration time is 5 minutes;

step 42, when the second duration data is smaller than the first time length threshold, the ST segment signal identification information is normal ST segment signal information, and the first interval threshold is used as the maximum potential difference data;

here, similarly to step 32, the first time length threshold is a time threshold for judging whether the second potential difference data is error or noise data, and when the second duration is smaller than the first time length threshold, the identification state of the current ST segment signal is not changed by default, or the current ST segment signal is in a normal state by default, the ST segment signal identification information is normal ST segment signal information, and the maximum potential difference data is set as the first section threshold by default;

For example, the first interval threshold is 0.05mv, the 1 ST second potential difference data is 0.16mv, the 2 nd second potential difference data is 0.14mv, the second number is 2, the first interval time is 0.2 minutes, the first time length threshold is 1 minute, the second duration time is 2×0.2=0.4 minutes, the second duration time is less than the first time length threshold, the ST section signal identification information is normal ST section signal information, and the maximum potential difference data is 0.05mv;

step 43, when the second duration data is not less than the first time length threshold and is less than the second time length threshold, the ST segment signal identification information is transitional ST segment elevation signal information, and the maximum value of the second number of second potential difference data is taken as the maximum potential difference data;

here, as described above, when the first time length threshold value is equal to or less than the second time duration < the second time length threshold value, the ST segment signal is illustrated to be in a transitional ST segment lifting state, and the maximum value of all the second potential difference data obtained in the second time duration is taken as the maximum potential difference data;

for example, the second number is 5, the 1 ST to 5 th second potential difference data are 0.16mv, 0.14mv, 0.165mv, 0.17mv, and 0.162mv in this order, the first interval time is 1 minute, the first time length threshold is 1 minute, the second time length threshold is 20 minutes, the second duration is 5*1 =5 minutes, the second duration is between 1 and 20 minutes, the ST segment signal identification information is the transitional ST segment elevation signal information, and the maximum potential difference data is the maximum value (4 th second potential difference data) 0.17mv among the 5 second potential difference data;

When the second duration data is not less than the second time length threshold, step 44, the ST segment signal identification information is persistent ST segment elevation signal information and the maximum value of the second number of second potential difference data is taken as the maximum potential difference data.

Here, as described above, when the second duration is greater than or equal to the second time length threshold, the ST segment signal is illustrated as being in the continuous ST segment elevation state, and the maximum value of the second potential difference data in the second duration is taken as the maximum potential difference data;

for example, the second number is 25, the 1 ST to 25 th second potential difference data are sequentially 0.14mv, 0.16mv, 0.165mv, 0.17mv, 0.162mv, 0.16mv, 0.162mv, 0.178mv, 0.2mv, 0.22mv, 0.23mv, 0.25mv, 0.27mv, 0.26mv, 0.28mv, 0.29mv, 0.295mv, 0.30mv, 0.31mv, 0.32mv, 0.33mv, 0.34mv, and 0.35mv, the first interval time is 1 minute, the first time length threshold is 1 minute, the second time length threshold is 20 minutes, the second duration time is 25×1=25 minutes, the second duration time is greater than 20 minutes, the ST stage signal identification information is the maximum stage elevation signal information, and the maximum value of the second potential difference data is 25m (the maximum value of the second potential difference data in the second data is 0.35 m).

Step 5, when the third potential difference data of the third quantity which is obtained recently all meet the third potential interval, carrying out third potential interval analysis processing according to the third quantity, the first interval time and the first time length threshold value, and generating ST segment signal identification information and maximum potential difference data;

here, the electrocardiograph monitoring device analyzes and processes the condition that the second potential difference data is continuously in the third potential interval;

the method specifically comprises the following steps: step 51, generating third duration data according to the product of the third quantity and the first interval time when the third potential difference data of the third quantity obtained recently all meet the third potential interval;

here, first, it is necessary to calculate the duration (third duration) for which the second potential difference data is continuously in the third potential section, similarly to the first duration in step 31, the third duration=a third number of times the first interval time;

for example, as shown in fig. 3d, which is a schematic diagram of the second potential difference data provided in the first embodiment of the present invention in the third potential interval, the second potential difference data continuously generated currently are all in the third potential interval, the number (third number) of the second potential difference data is 5, the first interval time is 1 minute, and the third duration time is 5 minutes;

Step 52, when the third duration data is smaller than the first time length threshold, the ST segment signal identification information is normal ST segment signal information, and the minimum value in the third number of second potential difference data is taken as the maximum potential difference data;

here, similar to step 32, the first time length threshold is a time threshold for determining whether the second potential difference data is error or noise data, and when the third duration is less than the first time length threshold, the identification state of the current ST segment signal is not changed by default, or the current ST segment signal is in a normal state by default, and then the ST segment signal identification information is normal ST segment signal information, and the minimum value (i.e., the maximum absolute value) of all the second potential difference data obtained in the third duration is taken as the maximum potential difference data;

for example, the 1 ST second potential difference data is-0.03 mv, the 2 nd second potential difference data is-0.04 mv, the third number is 2, the first interval time is 0.2 minutes, the first time length threshold is 1 minute, the third duration time is 2×0.2=0.4 minutes, the third duration time is less than the first time length threshold, the ST section signal identification information is normal ST section signal information, and the maximum potential difference data is-0.04 mv (the minimum value of the 1 ST and 2 second potential difference data: the 2 nd second potential difference data);

Step 53, when the third duration data is not less than the first time length threshold, the ST segment signal identification information is normal ST segment signal information, and the third interval threshold is taken as the maximum potential difference data.

Here, when the third duration exceeds the first time length threshold, it is indicated that the potential difference of the ST-segment signal of the currently continuously acquired electrocardiograph signal is continuously stabilized in the third potential interval, and the ST-segment signal identification information should be the normal ST-segment signal information, and the maximum potential difference data is the third interval threshold, as described above.

For example, the third number is 5, the 1 ST to 5 th second potential difference data are, -0.03mv, -0.04mv, 0.028mv, 0.022mv, and-0.03 mv in this order, the first interval time is 1 minute, the first time length threshold is 1 minute, the third duration is 5*1 =5 minutes, the third interval threshold is-0.05 mv, the third duration is greater than the first time length threshold, the ST-segment signal identification information is normal ST-segment signal information, and the maximum potential difference data defaults to the third interval threshold-0.05 mv.

Step 6, when the second potential difference data of the fourth quantity obtained recently all meet the fourth potential interval, carrying out fourth potential interval analysis processing according to the fourth quantity, the first interval time, the first time length threshold value and the second time length threshold value, and generating ST-segment signal identification information and maximum potential difference data;

Here, the electrocardiograph monitoring device specifically analyzes and processes the condition that the second potential difference data is continuously in the fourth potential interval;

the method specifically comprises the following steps: step 61, generating fourth duration data according to the product of the fourth number and the first interval time when the fourth number of second potential difference data obtained recently all meet the fourth potential interval;

here, first, it is necessary to calculate the duration of the second potential difference data being continuously in the fourth potential section (fourth duration), similar to the first duration in step 31, fourth duration=fourth number of times the first interval time;

for example, as shown in fig. 3e, which is a schematic diagram of the second potential difference data provided in the first embodiment of the present invention in the fourth potential interval, the second potential difference data continuously generated currently are all in the fourth potential interval, the number of the second potential difference data (fourth number) is 5, the first interval time is 1 minute, and the fourth duration time is 5 minutes;

step 62, when the fourth duration data is smaller than the first time length threshold, the ST segment signal identification information is normal ST segment signal information, and the third interval threshold is used as the maximum potential difference data;

here, similarly to step 32, the first time length threshold is a time threshold for judging whether the second potential difference data is error or burr data, and when the fourth duration is smaller than the first time length threshold, the identification state of the current ST segment signal is not changed by default, or the current ST segment signal is in a normal state by default, the ST segment signal identification information is normal ST segment signal information, and the maximum potential difference data is set as a third interval threshold by default;

For example, the third interval threshold is-0.05 mv, the 1 ST second potential difference data is-0.12 mv, the 2 nd second potential difference data is-0.13 mv, the fourth number is 2, the first interval time is 0.2 minutes, the first time length threshold is 1 minute, the fourth duration time is 2×0.2=0.4 minutes, the fourth duration time is less than the first time length threshold, the ST section signal identification information is normal ST section signal information, and the maximum potential difference data is the third interval threshold-0.05 mv;

step 63, when the fourth duration data is not less than the first time length threshold and is less than the second time length threshold, the ST segment signal identification information is transitional ST segment depression signal information, and the minimum value of the fourth number of second potential difference data is taken as the maximum potential difference data;

here, as described above, when the first time length threshold value is equal to or less than the fourth time duration < the second time length threshold value, it is indicated that the ST-segment signal is in a transient ST-segment depressed state, and the minimum value (the minimum value is the maximum value of the absolute value) of the second potential difference data in the fourth time duration is taken as the maximum potential difference data;

for example, the fourth number is 5, the 1 ST to 5 th second potential difference data are, -0.12mv, -0.13mv, -0.12mv, -0.11mv, and-0.118 mv in this order, the first interval time is 1 minute, the first time length threshold is 1 minute, the second time length threshold is 20 minutes, the fourth duration is 5*1 =5 minutes, the fourth duration is between 1 and 20 minutes, the ST segment signal identification information is the transitional ST segment depression signal information, and the maximum potential difference data is the minimum value (the 2 nd second potential difference data) -0.13mv of the 5 second potential difference data;

Step 64, when the fourth duration data is not less than the second time length threshold, the ST segment signal identification information is persistent ST segment depression signal information, and the minimum value of the fourth number of second potential difference data is taken as the maximum potential difference data.

Here, as described above, when the fourth duration is greater than or equal to the second time length threshold, it is indicated that the ST-segment signal is in the persistent ST-segment depressed state, and the minimum value (the minimum value is the maximum value of the absolute value) of the second potential difference data in the fourth duration is taken as the maximum potential difference data;

for example, the fourth number is 25, the 1 ST to 25 th second potential difference data are, -0.14mv, -0.16mv, -0.165mv, -0.17mv, -0.162mv, -0.16mv, -0.162mv, -0.178mv, -0.2mv, -0.22mv, -0.23mv, -0.25mv, -0.27mv, -0.26mv, -0.28mv, -0.29mv, -0.295mv, -0.30mv, -0.31mv, -0.32mv, -0.33mv, -0.34mv, and-0.35 mv, the first interval time is 1 minute, the first time length threshold is 1 minute, the second time length threshold is 20 minutes, the fourth duration is 25=25 minutes, the fourth duration is greater than 20 minutes, the segment ST signal identification information is the maximum duration depression signal, and the maximum data size is 25 min-25 second data potential difference data (the potential difference in the maximum data) is 25 min.

Step 7, performing ST-segment signal early warning processing according to ST-segment signal identification information and the maximum potential difference data;

after the ST-segment signal identification information is obtained, the electrocardiographic monitoring equipment judges whether early warning needs to be started or not and judges the type of the early warning according to the type of the ST-segment signal identification information;

the method specifically comprises the following steps: step 71, when the ST segment signal identification information is normal ST segment signal information, performing normal ST segment signal information display processing on the ST segment signal identification information and the maximum potential difference data;

when the ST-segment signal identification information is normal ST-segment signal information, the ST-segment signal potential difference of the electrocardiosignal of the current patient is normal, so that the electrocardiosignal of the patient is further considered to be normal and stable, and the electrocardiograph monitoring equipment only needs to synchronously display the maximum potential difference data updated at regular time and does not start any early warning operation;

step 72, when the ST segment signal identification information is transitional ST segment elevation signal information or persistent ST segment elevation signal information, ST segment elevation pre-warning processing is performed on the ST segment signal identification information and the maximum potential difference data;

when the ST-segment signal identification information is transient ST-segment elevation signal information, the elevation phenomenon when the ST-segment signal of the electrocardiosignal of the current patient appears in an array is described, and the electrocardiograph monitoring equipment initiates corresponding transient ST-segment elevation early warning operation when displaying the maximum potential difference data updated in a timing way, so that medical staff is reminded of paying attention to the state of the current patient; when the ST-segment signal identification information is continuous ST-segment elevation signal information, the continuous elevation phenomenon of the ST-segment signal of the electrocardiosignal of the current patient is indicated, and the electrocardio monitoring equipment initiates corresponding continuous ST-segment elevation early warning operation when displaying the maximum potential difference data updated at regular time, so that medical staff is reminded to pay attention to the state of the current patient; here, the pre-warning level for persistent ST elevation is higher than the pre-warning level for transitional ST elevation;

And step 73, when the ST-segment signal identification information is transient ST-segment depression signal information or persistent ST-segment depression signal information, ST-segment depression early warning processing is carried out on the ST-segment signal identification information and the maximum potential difference data.

Here, similarly to step 72, when the ST-segment signal identification information is transient ST-segment depression signal information, the depression phenomenon when the ST-segment signal of the electrocardiograph signal of the current patient appears in the matrix is illustrated, and the electrocardiograph monitoring device initiates a corresponding transient ST-segment depression early warning operation while displaying the maximum potential difference data updated at the timing, thereby asking the medical staff to pay attention to the current patient state; when the ST-segment signal identification information is continuous ST-segment depression signal information, the continuous depression phenomenon of the ST-segment signal of the electrocardiosignal of the current patient is indicated, and the electrocardio monitoring equipment initiates corresponding continuous ST-segment depression early warning operation when displaying the maximum potential difference data updated at regular time, so as to ask medical staff to pay attention to the state of the current patient; here, the pre-warning level for persistent ST-segment depression is higher than the pre-warning level for transient ST-segment depression.

Fig. 4 is a schematic structural diagram of an electronic device according to a second embodiment of the present invention. The electronic device may be the electrocardiographic monitoring device, or may be a terminal device or a server connected to the electrocardiographic monitoring device for implementing the method of the embodiment of the present invention. As shown in fig. 4, the electronic device 400 may include: a processor 41 (e.g., CPU), a memory 42, a transceiver 43; the transceiver 43 is coupled to the processor 41, and the processor 41 controls the transceiving operation of the transceiver 43. The memory 42 may store various instructions for performing various processing functions and implementing the methods and processes provided in the above-described embodiments of the present invention. Preferably, the electronic device according to the embodiment of the present invention may further include: a power supply 44, a system bus 45, and a communication port 46. The system bus 45 is used to enable communication connections between the elements. The communication port 46 is used for connection communication between the electronic device and other peripheral devices.

The system bus referred to in fig. 4 may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, or the like. The system bus may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus. The communication interface is used to enable communication between the database access apparatus and other devices (e.g., clients, read-write libraries, and read-only libraries). The Memory may comprise random access Memory (Random Access Memory, RAM) and may also include Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.

The processor may be a general-purpose processor, including a Central Processing Unit (CPU), a network processor (Network Processor, NP), etc.; but may also be a digital signal processor DSP, 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.

It should be noted that the embodiments of the present invention also provide a computer readable storage medium having instructions stored therein, which when executed on a computer, cause the computer to perform the methods and processes provided in the above embodiments.

The embodiment of the invention also provides a chip for running the instructions, which is used for executing the method and the processing procedure provided in the embodiment.

The embodiment of the present invention also provides a program product, which includes a computer program stored in a storage medium, from which at least one processor can read the computer program, and the at least one processor performs the method and the process provided in the embodiment.

The method, the electronic equipment, the computer program product and the computer readable storage medium for early warning of the electrocardiosignal ST segment increase the monitoring and early warning processing flow of the electrocardiosignal ST segment change in the monitoring flow of the electrocardiosignal monitoring equipment, expand the monitoring range of the electrocardiosignal monitoring equipment and improve the early warning capability of the electrocardiosignal monitoring equipment.

Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of function in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims

1. A method of pre-warning an electrocardiograph signal ST segment, the method comprising:

performing ST segment signal early warning processing according to the ST segment signal identification information and the maximum potential difference data;

wherein, selecting potential difference base points and ST segment signal sampling points in the ECG signal, generating first potential difference data according to potential differences of the ST segment signal sampling points and the potential difference base points, specifically comprising:

selecting a starting point of a QRS complex signal from the ECG signal as the potential difference base point, and acquiring signal potential amplitude data of the potential difference base point to generate base point potential data; selecting the ST-segment signal sampling point from the ST-segment signal, and acquiring signal potential amplitude data of the ST-segment signal sampling point to generate sampling point potential data; generating the first potential difference data according to the difference value between the sampling point potential data and the base point potential data; the ECG signal includes at least the QRS complex signal and the ST segment signal; the time interval from the ST segment signal sampling point to the starting point of the ST segment signal is a sampling point time threshold; the time unit of the sampling point time threshold is millisecond ms;

The time units of the first interval time, the first time length threshold and the second time length threshold are all minutes; the data units of the first potential difference data and the second potential difference data are millivolt mv; a first time length threshold < a second time length threshold;

the ST-segment signal identification information comprises normal ST-segment signal information, transient ST-segment lifting signal information, persistent ST-segment lifting signal information, transient ST-segment depression signal information and persistent ST-segment depression signal information;

when the first number of the second potential difference data obtained recently meets a first potential interval, performing first potential interval analysis processing according to the first number, the first interval time and a first time length threshold value, and generating ST-segment signal identification information and maximum potential difference data, wherein the method specifically comprises the following steps:

when the first duration time data is not smaller than the first time length threshold value, the ST segment signal identification information is the normal ST segment signal information, and the first interval threshold value is used as the maximum potential difference data;

when the second potential difference data of the second number obtained recently all meet a second potential interval, performing second potential interval analysis processing according to the second number, the first interval time, the first time length threshold value and the second time length threshold value, and generating the ST segment signal identification information and the maximum potential difference data, wherein the method specifically comprises the following steps:

when the second duration data is not less than the second time length threshold, the ST segment signal identification information is the persistent ST segment elevation signal information, and a maximum value of the second number of the second potential difference data is taken as the maximum potential difference data;

when the third number of the second potential difference data obtained recently meets a third potential interval, performing third potential interval analysis processing according to the third number, the first interval time and the first time length threshold value, and generating the ST-segment signal identification information and the maximum potential difference data specifically includes:

when the third duration time data is not smaller than the first time length threshold value, the ST segment signal identification information is the normal ST segment signal information, and the third interval threshold value is used as the maximum potential difference data;

when the fourth number of the second potential difference data obtained recently satisfies a fourth potential interval, performing fourth potential interval analysis processing according to the fourth number, the first interval time, the first time length threshold value and the second time length threshold value, and generating the ST segment signal identification information and the maximum potential difference data, specifically including:

2. The method for early warning of an electrocardiograph signal ST segment according to claim 1, wherein the step of performing ST segment signal early warning processing according to the ST segment signal identification information and the maximum potential difference data specifically includes:

3. An electronic device, comprising: memory, processor, and transceiver;

the processor being configured to couple to the memory, read and execute instructions in the memory to implement the method of any one of claims 1-2;

4. A computer readable storage medium storing computer instructions which, when executed by a computer, cause the computer to perform the method of any one of claims 1-2.