WO2021073506A1

WO2021073506A1 - Real-time electrocardiogram monitoring system and method for wearable device

Info

Publication number: WO2021073506A1
Application number: PCT/CN2020/120647
Authority: WO
Inventors: 杨凰宗; 李红涛
Original assignee: 深圳邦健生物医疗设备股份有限公司
Priority date: 2019-10-17
Filing date: 2020-10-13
Publication date: 2021-04-22
Also published as: CN110772248A; CN110772248B

Abstract

A real-time electrocardiogram monitoring system and method for a wearable device. The system comprises: a wearable device (10), an adjusting device (20) and a display device (30), wherein the wearable device (10) is used for collecting first-stage initial electrocardiogram data of a patient who wears the wearable device (10); the adjusting device (20) is used for performing ST segment adjustment on the initial electrocardiogram data to obtain target ST data; the wearable device (10) sets the target ST data to be an initialization configuration parameter, collects second-stage target electrocardiogram data of the patient who wears the wearable device (10) on the basis of the initialization configuration parameter, and sends the target electrocardiogram data to the display device (30); and the display device (30) is used for receiving the target electrocardiogram data, and displaying the target electrocardiogram data, such that the displayed electrocardiogram data is more intuitive. Not only is real-time monitoring of electrocardiogram data of a patient realized, but it is also convenient for a doctor to diagnose and treat the patient in a timely manner according to the electrocardiogram data, thereby enhancing the interaction between the patient and the doctor and reducing the danger of onset of a disease.

Description

Wearable device ECG real-time monitoring system and method

Technical field

This application relates to the field of medical technology, in particular to a wearable device ECG real-time monitoring system and method.

Background technique

With the increasing trend of population obesity and population aging in our country, the number of heart diseases has increased sharply, seriously threatening the lives of our people. For heart diseases, it is routine to check the electrocardiogram to detect and treat heart diseases as soon as possible, thereby greatly reducing deaths. At present, Holter is a widely used technology in the heart function inspection program. It is combined with smart terminals such as mobile phones to easily realize remote medical treatment and real-time monitoring through the network. In recent years, wearable devices have continued to develop, and it has become possible to use wearable devices to record real-time electrocardiograms of the human body, an effective way to alleviate people's demand for health monitoring and limited medical resources.

technical problem

However, the currently commonly used wearable ECG monitoring system sets fixed parameters in advance to achieve monitoring during the monitoring process. Not only is the process cumbersome, but also because the ECG monitoring data is more complicated, the commonly used wearable ECG monitoring system monitors the ECG. Data is difficult to ensure intuitiveness and accuracy, and due to lack of interaction, it is difficult to ensure real-time monitoring. Therefore, there is an urgent need to provide an efficient wearable ECG monitoring system.

Technical solutions

Based on this, it is necessary to address the above problems and propose a wearable device ECG real-time monitoring system and method that can perform accurate and real-time ECG monitoring of the wearable device.

In the first aspect, the present invention proposes a wearable device ECG real-time monitoring system, the system includes: a wearable device, a regulating device and a display device, the wearable device and the regulating device and the display device respectively A communication connection, where the adjustment device and the display device are in communication connection;

The wearable device is used to collect initial ECG data of the first stage of the patient wearing the wearable device;

The adjustment device is configured to perform ST segment adjustment on the initial ECG data to obtain target ST data, and send the target ST data to the wearable device;

The wearable device receives the target ST data and sets the target ST data as initial configuration parameters, and collects the target ECG data of the second stage of the patient wearing the wearable device based on the initial configuration parameters , And send the target ECG data to the display device;

The display device is used to receive the target ECG data and display the target ECG data.

In one embodiment, the adjustment device is further configured to receive target ECG data sent by the wearable device, and after analyzing the target ECG data, convert it into an ST trend chart, and then convert the ST trend chart Send to the display device for display.

In one embodiment, the adjustment device is further used to analyze the condition level of the patient wearing the wearable device based on the ST trend graph.

In an embodiment, the wearable device further includes:

A positioning unit for positioning the real-time position of the patient wearing the wearable device;

The alarm linkage unit is used to link the 120 emergency system when the condition level exceeds a preset level, and send the real-time location to the 120 emergency system.

In one embodiment, the wearable device includes a scanning unit for scanning the two-dimensional code corresponding to the medical chart of the patient wearing the wearable device.

In an embodiment, the adjustment device further includes a drawing unit for drawing a waveform diagram of the patient's condition level and time according to the patient's condition level and sending it to the display device.

In an embodiment, the wearable device ECG real-time monitoring system further includes: a doctor exchange class module, configured to respond to the exchange class request according to the target ECG data in the exchange class request sent by the doctor.

In the second aspect, the present invention also provides a method for real-time monitoring of the ECG of a wearable device, the method including:

Acquiring the initial ECG data of the first stage of the patient wearing the wearable device;

Performing ST segment adjustment on the initial ECG data to obtain target ST data;

Acquiring the target ECG data of the second stage of the patient wearing the wearable device based on the target ST data;

The target ECG data is displayed in the form of ST trend graph.

A computer-readable storage medium that stores a computer program, and when the computer program is executed by a processor, the processor executes the following steps:

In an embodiment, the performing ST segment adjustment on the initial ECG data to obtain target ST data includes:

Obtaining ISO baseline points and ST points based on the initial ECG data;

Calculate the amplitude difference between the ST point and the ISO baseline point;

The target ST data is determined based on the amplitude difference.

In one embodiment, the display of the target ECG data in the form of ST trend graph includes:

Acquire the target ECG data of N patients, where N is a natural number greater than 1;

Obtaining a reference point from the target ECG data;

Curve fitting is performed on the target ECG data based on the reference point, and the obtained waveform diagram is used as the ST trend diagram.

Beneficial effect

The above-mentioned wearable device ECG real-time monitoring system and method include a wearable device, a regulating device, and a display device. The wearable device is in communication connection with the regulating device and the display device, and the regulating device and the display device are connected in communication with each other. Device communication connection; the wearable device is used to collect the first stage initial ECG data of the patient wearing the wearable device; the adjustment device is used to perform ST segment adjustment on the initial ECG data , Obtain target ST data, and send the target ST data to the wearable device; the wearable device receives the target ST data, and sets the target ST data as an initialization configuration parameter, based on the initialization The configuration parameters collect the target ECG data of the second stage of the patient wearing the wearable device, and send the target ECG data to the display device; the display device is used to receive the target ECG data Data and display the target ECG data, making the displayed ECG data more intuitive, which not only realizes the real-time monitoring of the patient’s ECG data, but also facilitates the doctor’s timely diagnosis and treatment of the patient based on the ECG data, and strengthens This improves the interaction between the patient and the doctor and reduces the risk of disease.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work.

among them:

FIG. 1 is a schematic diagram of the architecture of a wearable device ECG real-time monitoring system according to an embodiment of the application;

2 is a schematic diagram of the architecture of a wearable device ECG real-time monitoring system according to another embodiment of the application;

3 is a schematic diagram of the architecture of a wearable device ECG real-time monitoring system according to another embodiment of this application;

4 is a schematic diagram of the architecture of a wearable device ECG real-time monitoring system according to another embodiment of the application;

FIG. 5 is a schematic diagram of the architecture of a wearable device ECG real-time monitoring system according to another embodiment of the application;

6 is a flowchart of a method for real-time monitoring of a wearable device's ECG according to an embodiment of the application;

FIG. 7 is a flowchart of an ST segment adjustment method according to an embodiment of the application;

FIG. 8 is a flowchart of a method for calculating an ST trend graph according to an embodiment of the application.

Embodiments of the present invention

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by a person of ordinary skill in the art without creative work shall fall within the protection scope of this application.

As shown in Figure 1, in one embodiment, a wearable device ECG real-time monitoring system is provided. The system includes: a wearable device 10, a regulating device 20, and a display device 30. The adjustment device is in communication connection with the display device, and the adjustment device is in communication connection with the display device.

Among them, the wearable device 10 refers to a portable device that is worn on the user to monitor ECG data, such as Holter (box). However, the traditional Holter needs to configure parameters before use, which is cumbersome and cannot provide the user with real-time Continuous ECG monitoring service. In this embodiment, the wearable device ECG real-time monitoring system includes a wearable device 10, a regulating device 20, and a display device 30. The regulating device 20 is used to accurately configure the parameters of the wearable device 10, and the display device 30 is used for The ECG information collected by the wearable device adjusted by the adjustment device 20 is displayed in real time, thereby overcoming the defects of the traditional Holter. The wearable device 10 is respectively communicatively connected with the regulating device 20 and the display device 30, and the regulating device 20 and the display device 30 are communicatively connected, thereby ensuring the instant transmission of ECG information and instructions.

It should be noted that the adjustment device 20 and the display device 30 may be assembled as a whole, or may not be assembled as two devices.

The wearable device 10 is used to collect the initial ECG data of the first stage of the patient wearing the wearable device.

Among them, the first stage refers to the stage where the configuration parameters of the wearable device 10 are default parameters and are not adjusted by the adjustment device 20, such as within 20 minutes, within 25 minutes, or within 30 minutes of the start of collection, or. The initial ECG data refers to the data stored on the wearable device to reflect the patient's ECG information, such as the ECG waveform.

The adjustment device 20 is configured to perform ST segment adjustment on the initial ECG data to obtain target ST data, and send the target ST data to the wearable device 10.

Among them, the adjustment device can be implemented by a processor, or a mobile terminal that can perform ST adjustment on the ECG data is installed to perform ST segment adjustment on the initial ECG data to obtain the target ST data, and send the target ST data to Wearable device 10. Understandably, the traditional Holter sets the parameters in the box in advance. Since the set parameters are set based on empirical values, it is difficult to ensure the accuracy of the parameters, which affects the accuracy of the ECG data collected by the wearable device. Therefore, in this embodiment, the initial ECG data is adjusted in ST segment by the adjusting device, and the adjusted target ST data is sent to the wearable device 10, so that the wearable device can obtain settings based on the patient's own ECG data. To improve the accuracy of wearable device parameter configuration.

The wearable device 10 receives the target ST data and sets the target ST data as initial configuration parameters, and collects the target ECG of the second stage of the patient wearing the wearable device based on the initial configuration parameters Data, and send the target ECG data to the display device 30.

Specifically, the wearable device 10 receives the target ST data and sets the target ST data as the initial configuration parameter, that is, sets the target ST data as the initial configuration parameter of the wearable device. After adjusting the configuration parameters, the wearable device continues to collect the target ECG data of the second stage of the patient wearing the wearable device, and sends the target ECG data to the display device 30. The second stage refers to the time period of collection after the configuration parameters of the wearable device are adjusted, such as within 10 hours, 11 hours, or 12 hours, and there is no specific limitation here. By continuing to collect the target ECG data of the second stage, the patient's ECG data can be obtained and the patient's ECG monitoring can be realized.

The display device 30 is configured to receive the target ECG data and display the target ECG data.

Among them, the display device 30 can be realized through a display screen and a communication module, and is used to receive target ECG data and display the target ECG data, making the displayed ECG data more intuitive, and not only realizes the monitoring of the patient's ECG data. Real-time monitoring, and it is convenient for doctors to diagnose and treat patients based on ECG data in a timely manner, which strengthens the interaction between patients and doctors and reduces the risk of disease.

The above-mentioned wearable device ECG real-time monitoring system includes a wearable device, a regulating device and a display device. The wearable device is respectively communicatively connected with the regulating device and the display device, and the regulating device communicates with the display device Connection; the wearable device is used to collect the first stage initial ECG data of the patient wearing the wearable device; the adjustment device is used to perform ST segment adjustment on the initial ECG data to obtain Target ST data, and send the target ST data to the wearable device; the wearable device receives the target ST data, and sets the target ST data as an initialization configuration parameter, based on the initialization configuration parameter Collect the target ECG data of the second stage of the patient wearing the wearable device, and send the target ECG data to the display device; the display device is used to receive the target ECG data, The target ECG data is displayed, which makes the displayed ECG data more intuitive, which not only realizes the real-time monitoring of the patient's ECG data, but also facilitates the doctor to diagnose and treat the patient based on the ECG data in a timely manner, which strengthens the patient Interaction with doctors reduces the risk of illness.

Specifically, the adjustment device is also used to perform data analysis and processing on the received target ECG data, and convert the analysis and processing results into ST trend graphs, so as to better reflect the patient's ECG data and make the ECG data more intuitive . Understandably, it is difficult for doctors to intuitively analyze ECG data in real time without using the adjustment device. The data is analyzed and processed by the adjustment device, and the ST trend graph is sent to the display device for display, thereby simplifying the doctor. The process of monitoring the patient's ECG data improves the doctor's work efficiency.

Among them, the disease level is an index used to measure the severity of a patient's heart disease. Specifically, the adjustment device analyzes the ST trend graph, for example, classifies the ECG data of the ST trend graph, and counts the number of each type of ECG data, and then calculates and determines the condition level, so that the doctor can more conveniently and accurately understand the patient's condition Severity, timely warning is given.

As shown in Figure 2, in one embodiment, the wearable device further includes:

The positioning unit 11 is used for positioning the real-time position of the patient wearing the wearable device.

Wherein, the positioning unit 11 may be implemented by installing navigation software or positioning sensors on the wearable device, and is used for real-time positioning of the position of the patient wearing the wearable device and obtaining patient position information.

The alarm linkage unit 12 is used to link the 120 emergency system when the disease level exceeds a preset level, and send the real-time location to the 120 emergency system.

Among them, the alarm linkage unit 12 can realize linkage to the emergency system through association with the 120 emergency system, and is used to implement first aid to the patient when the patient's condition is serious.

The above-mentioned wearable device includes a positioning unit 11 and an alarm linkage unit 12. The positioning unit 11 is used to locate the real-time position of the patient wearing the wearable device; the alarm linkage unit 12 is used to link the 120 emergency system when the condition level exceeds a preset level, And send the real-time location to the 120 emergency system, so as to ensure that critically ill patients can be rescued in time.

As shown in FIG. 3, in one embodiment, the wearable device includes a scanning unit 13 configured to scan the two-dimensional code corresponding to the medical chart of the patient wearing the wearable device.

Among them, the scanning unit 13 can be implemented by a processor equipped with a camera and a processor that processes a QR code or barcode. Specifically, a doctor can create a new medical record for the patient, and the medical record can be filled with the patient’s information, emergency contacts, monitoring doctors, etc. , Entry methods include manual, ID card or social security card one-key entry, his system and other sources. The medical record information is generated into a two-dimensional code, and the wearable device scans the two-dimensional code corresponding to the medical record to realize the communication between the server and the client.

As shown in FIG. 4, in one embodiment, the adjustment device further includes a drawing unit 21, configured to draw a waveform diagram of the patient's condition level and time according to the patient's condition level, and send it to the display device.

Wherein, the drawing unit 21 may be implemented by a client terminal installed with drawing software or a processor with analysis and processing of graphics information. Specifically, the drawing unit 21 identifies different markers according to the patient's condition level, such as using different colors to identify a time and condition mapping table, and draws a waveform diagram of the patient's condition level and time according to the correspondence between the mapping targets, and Send to the display device, so that the doctor can quickly and accurately monitor the patient's ECG data, so as to realize the efficient diagnosis of the patient.

As shown in FIG. 5, in one embodiment, the wearable device ECG real-time monitoring system further includes: a doctor exchange class module 40, configured to respond according to the target ECG data in the exchange class request sent by the doctor The exchange class request.

Among them, the doctor exchange class module 40 can be realized by connecting and communicating with the wearable device 10 and installed with Liu browser client or mobile terminal, and is used to respond according to the target ECG data in the exchange class request sent by the doctor. Exchange class request.

In a specific embodiment, the process of the exchange of shifts between Doctor A and the doctor is as follows: if Doctor A wants to initiate a shift, the doctor swap module 40 queries whether Doctor A has a medical record currently under monitoring; if not, the shift is over; if Yes, return to the corresponding medical record list: including medical record ID, patient information, monitoring duration, remaining monitoring duration, etc. Then, query Doctor A’s doctor ID and get his corresponding monitoring center (name, ID); then query this monitoring Whether there is a doctor in the center to start taking over; if not, the shift is over; if so, return the ID of the corresponding doctor and the doctor’s information; next, Doctor A selects the medical record (part or all) and doctor who is monitoring , Generate a shift task and send it to the server; the server generates a message according to the shift task, sends it to the successor doctor, and pops up a dialog box on the succession doctor’s client to display: each patient information in this task, the monitoring time; Finally, Doctor A waits for the server's news about this shift task, and there is news to get the result of the shift: If the other doctor accepts it, transfer the medical records that A will hand over to Doctor B, so the monitoring list of Doctor A is Without those medical records, the monitoring list of Doctor B will have more medical records; if there is no news within the specified time, then overtime exit, or the other party refuses, this shift will be cancelled.

The above-mentioned doctor exchange class module 40 is used to respond to the exchange class request according to the target ECG data in the exchange class request sent by the doctor, which can facilitate doctors to exchange classes, increase the doctor’s work flexibility, and improve the work flexibility of doctors. The efficiency of the doctor’s management.

As shown in Figure 6, in one embodiment, a wearable device ECG real-time monitoring method is proposed, which is applied to the wearable device. The wearable device ECG real-time monitoring method can be applied to both terminals and The server specifically includes the following steps:

Step 102: Obtain the initial ECG data of the first stage of the patient wearing the wearable device.

Specifically, the server obtains the initial ECG data of the patient in the first stage collected by the wearable device.

Step 104: Perform ST segment adjustment on the initial ECG data to obtain target ST data.

Among them, ST-segment adjustment is a processing method for analyzing ECG data. By performing ST-segment adjustment on the initial ECG data, the target ST data is obtained, so that accurate ECG data can be obtained subsequently based on the target ST data.

Step 106: Obtain the target ECG data of the second stage of the patient wearing the wearable device based on the target ST data.

Specifically, the server obtains the second-stage target ECG data of the patient wearing the wearable device according to the target ST data, so as to subsequently realize real-time monitoring of the patient's ECG based on the target ECG data.

In step 108, the target ECG data is displayed in the form of an ST trend graph.

Specifically, the server displays the target ECG data through ST trend graphs, thereby realizing real-time monitoring of the patient's ECG.

The foregoing wearable device ECG real-time monitoring method is to obtain the first stage initial ECG data of the patient wearing the wearable device; perform ST segment adjustment on the initial ECG data to obtain target ST data; The target ST data acquires the target ECG data of the second stage of the patient wearing the wearable device; the target ECG data is displayed in the form of ST trend graph, realizing the real-time ECG data of the patient monitor.

As shown in FIG. 7, in one embodiment, performing ST segment adjustment on the initial ECG data to obtain target ST data includes:

Step 104A: Obtain ISO baseline points and ST points based on the initial ECG data.

Among them, the ISO baseline point refers to a flat place in front of the R wave, and the ST point refers to a place 40ms after the J point. Obtain ISO baseline points and ST points through the waveform graph corresponding to the initial ECG data.

Step 104B: Calculate the amplitude difference between the ST point and the ISO baseline point.

Specifically, by calculating the amplitude difference (voltage difference) between the ST point and the ISO baseline point, it is determined whether the patient has medical symptoms of "myocardial ischemia". When the amplitude difference is positive, it means elevation; when the difference is negative, it means depression, which is a symptom of "myocardial ischemia" in medicine.

Step 104C: Determine the target ST data based on the amplitude difference.

Specifically, according to the positive and negative analysis of the amplitude difference, the target ST data is obtained, and the initial ECG data is adjusted by ST segment, so that the target ST data is more intuitive, and it is convenient for the doctor to make rapid and accurate diagnosis based on the target ST data.

In the above embodiment, the ISO baseline point and ST point are obtained through the initial ECG data; the amplitude difference between the ST point and the ISO baseline point is calculated; the target ST data is determined based on the amplitude difference, so that the target ST The data is more intuitive, which is convenient for doctors to make quick and accurate diagnosis based on the target ST data.

As shown in FIG. 8, in one embodiment, the display of the target ECG data in the form of ST trend graph includes:

Step 108A: Obtain the target ECG data of N patients, where N is a natural number greater than 1.

Specifically, the wearable device ECG real-time monitoring method can simultaneously monitor the target ECG data of multiple patients in real time. Therefore, the server can obtain the target ECG data of multiple patients to improve the monitoring of the patient's ECG. s efficiency.

Step 108B: Obtain a reference point from the target ECG data.

Among them, the reference point refers to the critical point of target ECG data classification, so that the target data can be classified and fitted subsequently based on the reference point.

In step 108C, curve fitting is performed on the target ECG data based on the reference point, and the obtained waveform diagram is used as the ST trend diagram.

Specifically, the target ECG data of each patient is fitted to the target ECG data corresponding to the time in the waveform diagram according to the parameters such as the ECG waveform sampling, walking speed, gain, etc., according to the reference point, and during the fitting process, If the slope is relatively large and exceeds the preset threshold, the line between the fitting points becomes a curve until the corresponding target ECG data can be automatically connected into a line, and then the fitted curve is drawn with GDI to form an ST trend graph. Through the ST trend graph, the patient's ECG data can be displayed more intuitively and accurately, and the efficiency of monitoring the patient's ECG data is realized, and at the same time, it is convenient for doctors to make timely diagnosis and early warning.

In the foregoing embodiment, the target ECG data of N patients is obtained; the reference point is obtained from the target ECG data; the target ECG data is curve-fitted based on the reference point to obtain the waveform As the ST trend graph, the graph can display the patient's ECG data more intuitively and accurately, realize the efficiency of monitoring the patient's ECG data, and facilitate the doctor's timely diagnosis and early warning.

It should be noted that the above-mentioned wearable device ECG real-time monitoring system and a wearable device ECG real-time monitoring method belong to a general inventive concept, a wearable device ECG real-time monitoring system, and a wearable device The contents in the embodiments of the ECG real-time monitoring method are mutually applicable.

The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction between the combinations of these technical features, they should It is considered as the range described in this specification.

The above-mentioned embodiments only express several implementation manners of the present application, and their description is relatively specific and detailed, but they should not be understood as a limitation to the patent scope of the present application. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can be made, and these all fall within the protection scope of this application. Therefore, the scope of protection of the patent of this application shall be subject to the appended claims.

Claims

A wearable device ECG real-time monitoring system, characterized in that the system comprises: a wearable device, a regulating device and a display device, the wearable device is respectively connected to the regulating device and the display device in communication, so The adjustment device and the display device are in communication connection;

The wearable device is used to collect initial ECG data of the first stage of the patient wearing the wearable device;

The adjustment device is configured to perform ST segment adjustment on the initial ECG data to obtain target ST data, and send the target ST data to the wearable device;

The wearable device receives the target ST data and sets the target ST data as initial configuration parameters, and collects the target ECG data of the second stage of the patient wearing the wearable device based on the initial configuration parameters , And send the target ECG data to the display device;

The display device is used to receive the target ECG data and display the target ECG data.
The system according to claim 1, wherein the adjustment device is further configured to receive target ECG data sent by the wearable device, and after analyzing the target ECG data, convert it into an ST trend graph, And send the ST trend graph to the display device for display.
The system according to claim 1, wherein the adjustment device is further configured to analyze the condition level of the patient wearing the wearable device based on the ST trend graph.
The system according to claim 3, wherein the wearable device further comprises:

A positioning unit for positioning the real-time position of the patient wearing the wearable device;

The alarm linkage unit is used to link the 120 emergency system when the condition level exceeds a preset level, and send the real-time location to the 120 emergency system.
The system according to claim 1, wherein the wearable device comprises: a scanning unit configured to scan the two-dimensional code corresponding to the medical chart of the patient wearing the wearable device.
The system according to claim 3, wherein the adjustment device further comprises a drawing unit for drawing a waveform diagram of the patient's condition level and time according to the patient's condition level and sending it to the display device.
The system according to claim 1, wherein the wearable device ECG real-time monitoring system further comprises: a doctor exchange class module, configured to respond according to the target ECG data in the exchange class request sent by the doctor The exchange class request.
A method for real-time monitoring of a wearable device's ECG, characterized in that the method includes:

Acquiring the initial ECG data of the first stage of the patient wearing the wearable device;

Performing ST segment adjustment on the initial ECG data to obtain target ST data;

Acquiring the target ECG data of the second stage of the patient wearing the wearable device based on the target ST data;

The target ECG data is displayed in the form of ST trend graph.
The method according to claim 8, wherein said performing ST segment adjustment on said initial ECG data to obtain target ST data comprises:

Obtaining ISO baseline points and ST points based on the initial ECG data;

Calculate the amplitude difference between the ST point and the ISO baseline point;

The target ST data is determined based on the amplitude difference.
The method according to claim 8, wherein the displaying the target ECG data in the form of ST trend graph comprises:

Acquire the target ECG data of N patients, where N is a natural number greater than 1;

Obtaining a reference point from the target ECG data;

Curve fitting is performed on the target ECG data based on the reference point, and the obtained waveform diagram is used as the ST trend diagram.