Electrocardio data processing system, electrocardio data processing method and electrocardio data analysis method

Abstract

The invention relates to an electrocardio data processing system, an electrocardio data processing method and an electrocardio data analysis method.The system comprises a data acquisition unit, a data processing center and a data application terminal, the data acquisition unit is in communication connection with the data processing center, and the data processing center is in communication connection with the data application terminal; the data acquisition unit comprises a plurality of electrocardiogram acquisition devices; the data processing center is used for receiving the collected data, performing structured processing on the collected data to obtain target data, and storing the target data based on a preset data structure; and the data application terminal is used for receiving the current electrocardiogram data and the historical data query request, acquiring corresponding query data from the data processing center based on the historical data query request, and analyzing the current electrocardiogram data on the basis of the corresponding query data.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to an electrocardiogram data processing system, an electrocardiogram data processing method and an analysis method. Background Art

[0002] With the continuous development of data processing technology, more and more technicians choose to improve the efficiency of ECG data analysis by building automatic ECG data processing systems.

[0003] However, since the classification basis adopted by the existing automatic ECG data processing system is relatively simple and does not fully consider the individual differences between each data collection object, the ECG data analysis results obtained based on this type of system have the problem of low accuracy. Summary of the invention

[0004] Based on this, it is necessary to provide an ECG data processing system, an ECG data processing method and an analysis method to address the above technical issues.

[0005] In a first aspect, the present application provides an electrocardiogram data processing system, the system comprising a data acquisition unit, a data processing center, and a data application terminal, the data acquisition unit is communicatively connected to the data processing center, the data processing center is communicatively connected to the data application terminal, wherein:

[0006] The data acquisition unit includes a plurality of ECG acquisition devices; the ECG acquisition devices are used to acquire the acquisition data of the target object and output the acquisition data;

[0007] The data processing center is used to receive the collected data, perform structured processing on the collected data to obtain target data, and store the target data based on a preset data structure; the target data includes an ECG waveform, a waveform template, measurement parameters, extended parameters, and an integration result;

[0008] The data application terminal is used to receive current ECG data and historical data query requests, and based on the historical data query requests, obtain corresponding query data from the data processing center, and analyze the current ECG data based on the corresponding query data; the corresponding query data includes at least one of the ECG waveform, the waveform template, the measurement parameters, the extended parameters, and the integration result.

[0009] In one embodiment, the data processing center includes a data processing unit; the data processing unit includes a template calculation module, a measurement parameter module, an extension parameter module and a data integration module; wherein,

[0010] The template calculation module is used to obtain a plurality of waveform templates corresponding to the ECG waveform based on the waveform characteristics of the ECG waveform in the collected data;

[0011] The measurement parameter module is used to obtain a number of measurement parameters corresponding to the ECG waveform and a number of measurement parameters corresponding to each of the waveform templates;

[0012] The extended parameter module is used to obtain a plurality of extended parameters based on each normal ECG waveform, each abnormal ECG waveform, a measurement parameter corresponding to each normal ECG waveform, and a measurement parameter corresponding to each abnormal ECG waveform when there are a plurality of normal ECG waveforms and a plurality of abnormal ECG waveforms in the ECG waveform;

[0013] The data integration module is used to obtain the integration result based on the waveform characteristics, each of the waveform templates, each of the measurement parameters, and each of the extension parameters.

[0014] In one of the embodiments, the data processing center further includes a data storage unit;

[0015] The data storage unit is used to store the waveform template, the measurement parameter, the extension parameter, and the integration result based on the preset data structure.

[0016] In one of the embodiments, the data storage unit is further used to store the identification number of the target object, the acquisition time of the collected data, and relevant information of the electrocardiogram collection device.

[0017] In one of the embodiments, the data application terminal includes an interactive interface; the data application terminal is configured to automatically generate the historical data query request based on monitoring of interactive events in the interactive interface.

[0018] In one of the embodiments, the ECG acquisition device is provided with a communication module; the communication module is used to transmit the acquired acquisition data to the data processing center.

[0019] In one embodiment, the ECG acquisition equipment includes but is not limited to an electrocardiograph, an ECG monitor, and a dynamic ECG monitor.

[0020] In a second aspect, the present application also provides an electrocardiogram data processing method, which is applied to the above system, and the method comprises:

[0021] Determine a target data processing module according to the functional type of the ECG acquisition device; the target data processing module includes at least one of the template calculation module, the measurement parameter module, the extended parameter module, and the data integration module;

[0022] The target data processing module is used to perform the structured processing on the collected data.

[0023] In one embodiment, determining the target data processing module according to the functional type of the electrocardiogram acquisition device includes:

[0024] If the function type only includes data acquisition, the target data processing module is determined to be the template calculation module, the measurement parameter module, the extended parameter module, and the data integration module;

[0025] If the function type includes the data acquisition and template analysis, the target data processing module is determined to be the measurement parameter module, the extended parameter module, and the data integration module;

[0026] If the function type includes the data acquisition, the template analysis, and the parameter measurement, the target data processing module is determined to be the data integration module.

[0027] In a third aspect, the present application also provides an electrocardiogram data analysis method, which is applied to the above system, and the method comprises:

[0028] In the case where the current ECG data is electrocardiogram data, in response to the historical data query request, obtaining from the data processing center a plurality of waveform templates representing normal ECG waveforms and measurement parameters corresponding to the waveform templates representing normal ECG waveforms;

[0029] The electrocardiogram data is analyzed based on the matching results between the electrocardiogram data and each of the waveform templates representing the normal electrocardiogram waveform and the measurement parameters corresponding to each of the waveform templates representing the normal electrocardiogram waveform.

[0030] In one of the embodiments, when the current ECG data is ECG data with abnormal ECG waveform, in response to the historical data query request, corresponding historical data is obtained from the data processing center; the historical data includes at least one of the measurement parameters and the integration results;

[0031] Based on the historical data and the ECG data with abnormal ECG waveform, a change trend of the ECG data of the target object is analyzed.

[0032] In a fourth aspect, the present application further provides an electrocardiogram data processing device, which is applied to the above system, and the device comprises:

[0033] A target selection module, used to determine a target data processing module according to the functional type of the electrocardiograph acquisition device; the target data processing module includes at least one of the template calculation module, the measurement parameter module, the extended parameter module, and the data integration module;

[0034] The structured processing module is used to adopt the target data processing module to perform the structured processing on the collected data.

[0035] In a fifth aspect, the present application further provides an electrocardiogram data analysis device, which is applied to the above system, and the device comprises:

[0036] A historical data acquisition module, configured to acquire, in response to the historical data query request, from the data processing center a plurality of waveform templates representing normal ECG waveforms and measurement parameters corresponding to the waveform templates representing normal ECG waveforms when the current ECG data is ECG data;

[0037] The ECG data analysis module is used to analyze the ECG data based on the matching results between the ECG data and each waveform template representing the normal ECG waveform and the measurement parameters corresponding to each waveform template representing the normal ECG waveform.

[0038] In a sixth aspect, the present application further provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0039] In a seventh aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0040] In an eighth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0041] The above-mentioned ECG data processing system, ECG data processing method and analysis method, through a data processing center with structured processing function and structured storage function, automatically processes and stores the collected data of the target object, so that the data application terminal can retrieve the corresponding historical data from the data processing center based on the actual analysis needs and compare and analyze the current ECG data, thereby effectively improving the accuracy of the ECG data analysis results for each data collection object. This application adopts a data processing center based on template design, which automatically performs structured processing and storage on the collected data output by the ECG acquisition device, and can realize the automatic analysis and prediction of the data change trend of the collected data for each data collection object, which can not only improve the efficiency of ECG data analysis, but also effectively improve the accuracy of ECG data analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of the structure of an electrocardiogram data processing system provided in one embodiment;

[0043] Figure 2 A schematic diagram of the structure of a data processing center in an electrocardiogram data processing system provided in one embodiment;

[0044] Figure 3 A schematic diagram of a specific representation form of a measurement parameter corresponding to an electrocardiogram waveform provided in an embodiment;

[0045] Figure 4 A schematic flow chart of an electrocardiogram data processing method provided in an embodiment;

[0046] Figure 5 A flowchart of a specific method for determining a target data processing module for processing collected data of an electrocardiogram collection device provided in one embodiment;

[0047] Figure 6 A schematic flow chart of an electrocardiogram data processing method provided in an embodiment;

[0048] Figure 7 A flowchart of a specific method for analyzing a change trend of electrocardiogram data of a target object provided in an embodiment;

[0049] Figure 8 This is a schematic diagram of a specific manifestation of the disease progression trend of a patient who has a need for ECG data monitoring provided in an embodiment:

[0050] Fig. 9 is a structural block diagram of an electrocardiogram data processing device provided in one embodiment;

[0051] Fig.10is a structural block diagram of an electrocardiogram data analysis device provided in one embodiment;

[0052] Fig.11 An internal structure diagram of a computer device provided in one embodiment. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present application. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0054] When used herein, the singular forms "a", "an", and "said / the" may also include plural forms, unless the context clearly indicates otherwise. It should also be understood that the terms "include / comprise" or "have" and the like specify the presence of stated features, wholes, steps, operations, components, parts, or combinations thereof, but do not exclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts, or combinations thereof. At the same time, the term "and / or" used in this specification includes any and all combinations of the relevant listed items.

[0055] In one embodiment, Figure 1 As shown, an ECG data processing system is provided, the aforementioned system includes a data acquisition unit, a data processing center, and a data application terminal, the data acquisition unit is connected to the data processing center for communication, the data processing center is connected to the data application terminal for communication, wherein,

[0056] The data acquisition unit includes a plurality of ECG acquisition devices; the aforementioned ECG acquisition devices are used to acquire the acquisition data of the target object and output the acquisition data;

[0057] The data processing center is used to receive the collected data, perform structured processing on the collected data, obtain target data, and store the target data based on a preset data structure; the aforementioned target data includes ECG waveform, waveform template, measurement parameters, extended parameters, and integration results;

[0058] The data application terminal is used to receive current ECG data and historical data query requests, and based on the historical data query requests, obtain corresponding query data from the data processing center, and analyze the current ECG data based on the corresponding query data; the aforementioned corresponding query data includes at least one of ECG waveforms, waveform templates, measurement parameters, extended parameters, and integrated results.

[0059] Specifically, the collected data, that is, the collected data of the target object, refers to the ECG data of the target object collected by the ECG collection equipment; the target object may be a patient with the need for ECG data monitoring; the target data refers to the target data obtained after the collected data is structured by the data processing center, and the specific form of the target data may include ECG waveform, waveform template, measurement parameters, extended parameters, and integration results; the waveform template refers to the ECG waveform template, and the specific form of the waveform template may be representative ECG waveforms of various types; the measurement parameters refer to the measurement parameters corresponding to the waveform template; the extended parameters refer to several extended parameters obtained by calculating a certain number of waveform templates and the corresponding measurement parameters; the integration result refers to the data obtained by integrating the ECG waveform, waveform module, measurement parameters, and extended parameters. The specific form of the integrated result can be a medical diagnosis conclusion obtained based on data such as the ECG waveform, waveform module, measurement parameters, and extended parameters, for example, an electrocardiograph diagnostic term; a preset data structure refers to a preset data structure for storing target data in a data processing center; current ECG data refers to current ECG data received by a data application terminal; a historical data query request refers to a historical data query request sent by a data application terminal to a data processing center for obtaining corresponding query data; corresponding query data refers to corresponding query data fed back by a data processing center obtained by the data application terminal by sending a historical data query request to the data processing center, and the corresponding query data may include at least one of an ECG waveform, a waveform template, a measurement parameter, an extended parameter, and an integrated result, and may be used as a basis for analyzing the current ECG data received by the data application terminal.

[0060] In practical applications, the ECG acquisition device may be any form of ECG acquisition device, and the specific forms of the ECG acquisition device may include wearable ECG acquisition devices (for example, dynamic ECG monitors) and non-wearable ECG acquisition devices (for example, ECG monitors, electrocardiographs); the specific number of ECG acquisition devices may be either single or multiple; the specific form of the data application terminal may be a computer terminal device with data processing and analysis functions.

[0061] The above-mentioned ECG data processing system automatically processes and stores the collected data of the target object through a data processing center with structured processing and structured storage functions, so that the data application terminal can retrieve the corresponding historical data from the data processing center based on actual analysis needs and compare and analyze the current ECG data, thereby effectively improving the accuracy of the ECG data analysis results for each data collection object. This application adopts a data processing center based on template design to automatically perform structured processing and storage on the collected data output by the ECG acquisition device, which can realize the automated analysis and prediction of the data change trend of the collected data for each data collection object, which can not only improve the efficiency of ECG data analysis, but also effectively improve the accuracy of ECG data analysis results.

[0062] In one embodiment, Figure 2 As shown, the above-mentioned data processing center includes a data processing unit; the data processing unit includes a template calculation module, a measurement parameter module, an extended parameter module and a data integration module; wherein,

[0063] A template calculation module, used for obtaining a plurality of waveform templates corresponding to the ECG waveform based on the waveform characteristics of the ECG waveform in the collected data;

[0064] A measurement parameter module, used to obtain a number of measurement parameters corresponding to the ECG waveform and a number of measurement parameters corresponding to each waveform template;

[0065] An extended parameter module, for obtaining a plurality of extended parameters based on each normal ECG waveform, each abnormal ECG waveform, a measurement parameter corresponding to each normal ECG waveform, and a measurement parameter corresponding to each abnormal ECG waveform when a plurality of normal ECG waveforms and a plurality of abnormal ECG waveforms exist in the ECG waveform at the same time;

[0066] The data integration module is used to obtain integration results based on waveform features, waveform templates, measurement parameters, and extended parameters.

[0067] Specifically, the data processing unit refers to the data processing unit in the data processing center of the above-mentioned system, and the data processing unit is used to realize structured processing of the collected data output by the ECG acquisition device; the ECG waveform, that is, the ECG waveform in the collected data, refers to several ECG waveforms in the collected data output by the ECG acquisition device; the waveform template, that is, several waveform templates corresponding to the ECG waveform, refers to several different types of ECG waveform templates obtained by integrating several ECG waveforms in the collected data output by the ECG acquisition device; the measurement parameter refers to the measurement parameter corresponding to the aforementioned ECG waveform and the aforementioned waveform template obtained by measuring the parameters of the aforementioned ECG waveform and the aforementioned waveform template; the extended parameter module refers to the several extended parameters obtained based on each normal ECG waveform, each abnormal ECG waveform, the measurement parameter corresponding to each normal ECG waveform, and the measurement parameter corresponding to each abnormal ECG waveform when there are several normal ECG waveforms and several abnormal ECG waveforms in each ECG waveform in the collected data; the integration result refers to the data integration result obtained by integrating the ECG waveform, the waveform module, the measurement parameter, and the extended parameter.

[0068] In practical applications, the specific expression of the waveform template can be a number of ECG waveform templates obtained by synthesizing multiple ECG waveforms with similar waveform features and belonging to the same type. In each type of waveform template, multiple ECG waveforms with similar waveform features can be stored; the specific expression of the measurement parameter can be as follows: Figure 3 The form shown, that is, the measurement parameters may include measurement parameters corresponding to key information such as P wave, Q wave, S wave, J point, R wave, T wave, U wave, PR interval, PR segment, QRS complex wave interval, ST segment, JT interval, QT interval, etc. obtained by measuring any ECG waveform or any waveform template (for example, measurement parameters of the amplitude, width, interval, etc., the amplitude of the P wave may be 0.2mv, and the width of the P wave may be 0.1s); the specific manifestations of the extended parameters may include heart rate variability (HRV), heart rate turbulence (HRT), T-wave alternans (TWA), vector cardio gram (VCG), frequency spectrum ECG (FS-ECG), ventricular late potential (VLT), ... The specific form of the integrated result can be a medical diagnosis conclusion obtained based on data such as ECG waveform, waveform module, measurement parameters, and extended parameters, for example, ECG machine diagnostic terminology.

[0069] The embodiment of the present application performs structured processing on different forms of collected data output by the ECG acquisition device based on a template calculation module, a measurement parameter module, an extended parameter module and a data integration module, thereby effectively improving the efficiency of subsequent ECG data analysis based on structured stored data.

[0070] In one embodiment, Figure 2 As shown, the above-mentioned data processing center also includes a data storage unit;

[0071] The data storage unit is used to store waveform templates, measurement parameters, extension parameters, and integration results based on a preset data structure.

[0072] Specifically, the data storage unit refers to a data storage unit in the data processing center of the above-mentioned system, which is used to store waveform templates, measurement parameters, extension parameters, and integration results based on a preset data structure; the preset data structure refers to a preset data structure for storing the structured processed acquisition data output by the data processing unit of the above-mentioned system in the data storage unit of the data processing center of the above-mentioned system; the structured processed acquisition data output by the data processing unit may include waveform templates, measurement parameters, extension parameters, and integration results.

[0073] The embodiment of the present application stores structured analysis data based on a preset data structure, which can not only improve the efficiency of subsequent ECG data analysis based on the structured stored data, but also improve the accuracy of the ECG data analysis results.

[0074] In one embodiment, the data storage unit is further used to store the identification number of the target object, the acquisition time of the collected data, and relevant information of the ECG collection device.

[0075] Specifically, the collected data, i.e. the collected data of the target object, refers to the ECG data of the target object collected by the ECG collection device; the target object may be a patient who has the need for ECG data monitoring; the acquisition time of the collected data refers to the specific time when the ECG collection device in the above-mentioned system acquires the ECG data of the target object, also known as the collection time of the ECG data of the target object; the relevant information of the ECG collection device refers to the relevant information corresponding to each of the several ECG collection devices used to obtain the collected data in the above-mentioned system.

[0076] In actual applications, the specific form of the identification number of the target object can be the identification number of a patient who has the need for ECG data monitoring, such as a patient ID; the specific form of the relevant information of the ECG acquisition device can be the device information corresponding to each ECG acquisition device used to obtain the acquisition data of the target object.

[0077] Exemplarily, the data storage unit in the above system stores waveform templates, measurement parameters, extension parameters, and integration results based on a preset data structure in a specific manner as shown in Table 1.

[0078] Table 1

[0079]

[0080] The embodiment of the present application effectively improves the accuracy of the ECG data analysis results for each data collection object by storing the identification number of the target object, the acquisition time of the collected data, and relevant information of the ECG collection device in the data storage unit.

[0081] In one embodiment, the data application terminal includes an interactive interface; the data application terminal is configured to automatically generate a historical data query request based on monitoring of interactive events in the interactive interface.

[0082] Specifically, the above-mentioned data application terminal refers to the data application terminal in the above-mentioned system; the interactive events in the interactive interface may include human-computer interaction events of the types of mouse click events, mouse drag events, text input events, etc. in the interactive interface; the historical data query request refers to the historical data query request automatically generated by the data application terminal in the above-mentioned system based on the monitoring of the interactive events in the interactive interface, and the historical data query request is used to obtain corresponding query data from the data processing center of the above-mentioned system; the corresponding query data refers to the corresponding query data fed back by the data processing center by the data application terminal by sending the historical data query request to the data processing center, and the corresponding query data may include at least one of the ECG waveform, waveform template, measurement parameters, extended parameters, and integration results, which can be used as the analysis basis of the current ECG data received by the data application terminal; the current ECG data refers to the current ECG data received by the data application terminal.

[0083] In actual applications, the specific form of the data application terminal may be a computer terminal device configured with an interactive interface and having data processing and analysis functions; the specific form of the interactive interface may be the display screen of the aforementioned computer terminal device.

[0084] The embodiment of the present application automatically generates a historical data query request for obtaining corresponding historical data from a data storage unit based on the monitoring of interactive events in the interactive interface of the data application terminal, thereby effectively improving the efficiency of ECG data analysis based on the comparison results between current ECG data and historical data.

[0085] In one embodiment, the ECG acquisition device is provided with a communication module; the communication module is used to transmit the acquired acquisition data to the data processing center.

[0086] Specifically, the above-mentioned ECG acquisition device refers to the ECG acquisition device in the above-mentioned system; the communication module refers to the communication module in the above-mentioned ECG acquisition device, and the communication module is used to transmit the acquired acquisition data to the above-mentioned data processing center.

[0087] In practical applications, the specific forms of the communication module may include WIFI modules, 4G communication modules, 5G communication modules, etc. When the above system is applied to medical institutions, the communication module may also be expressed as other forms of gateways, such as in-hospital electrocardiogram networks, in-hospital monitoring networks, etc.

[0088] The embodiment of the present application effectively ensures the accuracy of the historical data stored in the data processing center by configuring a communication module for transmitting the acquired collected data to the data processing center in each ECG collection device.

[0089] In one embodiment, the above-mentioned ECG acquisition equipment includes but is not limited to an electrocardiograph, an ECG monitor, and a dynamic ECG monitor.

[0090] Specifically, the above-mentioned ECG acquisition device refers to the ECG acquisition device in the above-mentioned system.

[0091] In actual applications, the specific forms of ECG data acquisition equipment, in addition to electrocardiographs, ECG monitors, and dynamic ECG monitors, may also include other ECG data acquisition equipment that can be used to collect ECG data of the target object. The specific device type represented by the ECG data acquisition equipment is not strictly limited here.

[0092] The embodiment of the present application obtains the collected data of the target object based on various types of ECG collection devices such as electrocardiographs, ECG monitors, and dynamic ECG monitors, thereby ensuring the comprehensiveness and diversity of the historical data stored in the data processing center, and further ensuring the accuracy of the ECG data analysis results.

[0093] In one embodiment, Figure 4 As shown, a method for processing electrocardiogram data is provided, which is applied to the above system and includes the following steps:

[0094] Step S410, determining a target data processing module according to the functional type of the ECG acquisition device; the target data processing module includes at least one of a template calculation module, a measurement parameter module, an extended parameter module, and a data integration module.

[0095] In this step, the ECG acquisition device refers to the ECG acquisition device in the above-mentioned system; the functional type of the ECG acquisition device refers to the specific type of functions such as data acquisition function and data analysis function possessed by each ECG acquisition device; the target data processing module refers to the target data processing module determined by the data processing center in the above-mentioned system according to the functional type of the ECG acquisition device, and the target processing module may include at least one of the template calculation module, measurement parameter module, extended parameter module, and data integration module contained in the data processing unit in the data processing center.

[0096] Step S420: Use the target data processing module to perform structured processing on the collected data.

[0097] In this step, the target data processing module refers to the target data processing module determined by the data processing center in the above-mentioned system according to the functional type of the ECG acquisition device; the acquired data, i.e., the acquired data of the target object, refers to the ECG data of the target object acquired by the ECG acquisition device; the target object may be a patient with the need for ECG data monitoring; structured processing refers to the structured processing performed on the acquired data output by the ECG acquisition device by the data processing unit in the data processing center of the above-mentioned system using the target data processing module.

[0098] The embodiment of the present application determines the target data processing module according to the functional type of the ECG acquisition device, and adopts the target data processing module to perform structured processing on the acquired data, thereby effectively improving the efficiency of structured processing of different forms of acquired data output by the ECG acquisition device.

[0099] Regarding the specific method of determining the target data processing module for processing the collected data of the electrocardiogram collection device, in one embodiment, Figure 5 As shown, the above step S420 specifically includes the following steps:

[0100] Step S510, if the function type only includes data acquisition, the target data processing module is determined to be a template calculation module, a measurement parameter module, an extended parameter module, and a data integration module.

[0101] In this step, the function type, i.e., the function type of the ECG acquisition device, refers to the specific types of functions such as data acquisition function and data analysis function possessed by each ECG acquisition device; the function type only includes data acquisition, which means that the ECG acquisition device only has the data acquisition function.

[0102] Specifically, the functional type only includes the specific form of the ECG acquisition device for data acquisition, which may be an ECG monitor, or other ECG acquisition devices that only have the data acquisition function.

[0103] In practical applications, in order to ensure the operating efficiency of the above system, the premise of calling the extended parameter module (i.e., the premise of confirming the extended parameter module as one of the target processing modules) can also be determined as the collection time corresponding to the collected data, which should be greater than or equal to the target collection time threshold. Exemplarily, the target collection time threshold can be specifically set to 30 seconds.

[0104] Step S520: If the function type includes data acquisition and template analysis, the target data processing module is determined to be a measurement parameter module, an extended parameter module, and a data integration module.

[0105] In this step, the function type, i.e., the function type of the ECG acquisition device, refers to the specific type of functions such as data acquisition function and data analysis function possessed by each ECG acquisition device; the function type includes data acquisition and template analysis, which means that the ECG acquisition device has data acquisition function and template analysis function; the template analysis function refers to the template analysis function used to obtain several different types of ECG waveform templates corresponding to the ECG waveform based on the waveform features of the ECG waveform in the acquired data.

[0106] Specifically, the specific form of the ECG acquisition device whose functional type includes data acquisition and template analysis may be a dynamic ECG analyzer, an ECG machine without parameter measurement function, or other ECG acquisition devices with both data acquisition and template analysis functions.

[0107] Step S530: If the function type includes data acquisition, template analysis, and parameter measurement, the target data processing module is determined to be a data integration module.

[0108] In this step, the function type, i.e., the function type of the ECG acquisition device, refers to the specific types of functions such as data acquisition function and data analysis function possessed by each ECG acquisition device; the function type includes data acquisition, template analysis, and parameter measurement, which means that the ECG acquisition device has data acquisition function, template analysis function, and parameter measurement function; the parameter measurement function may include waveform parameter measurement function and extended parameter measurement function.

[0109] Specifically, the function type includes the specific forms of data acquisition, template analysis, and parameter measurement, which may be an electrocardiograph with data acquisition function, template analysis function, and parameter measurement function, or other electrocardiograph acquisition equipment with data acquisition function, template analysis function, and parameter measurement function.

[0110] In practical applications, assuming that the functional types of the ECG acquisition device include data acquisition, template analysis, parameter measurement, and data integration, the acquired data output by it does not need to be structured through the data processing unit in the above-mentioned system, but only the data storage unit in the above-mentioned system can be used for structured storage (that is, based on the above-mentioned preset data structure, the acquired data output by this type of ECG acquisition device is structured).

[0111] The embodiment of the present application effectively improves the efficiency of structured processing of different forms of collected data by determining a target data processing module with corresponding data processing functions for collected data output by an ECG data collection device with different functions.

[0112] In one embodiment, Figure 6 As shown, a method for processing electrocardiogram data is provided, which is applied to the above system and includes the following steps:

[0113] Step S610, when the current ECG data is electrocardiogram data, in response to a historical data query request, a plurality of waveform templates representing normal ECG waveforms and measurement parameters corresponding to the waveform templates representing normal ECG waveforms are obtained from a data processing center.

[0114] In this step, the current ECG data refers to the current ECG data received by the data application terminal; the data application terminal refers to the data application terminal in the above system; the current ECG data is ECG data, which means that the specific data type of the current ECG data received by the data application terminal is ECG data; the data processing center refers to the data processing center in the above system; several waveform templates representing normal ECG waveforms refer to several waveform templates representing normal ECG waveforms obtained by the data application terminal from the data processing center; the measurement parameters corresponding to each waveform template representing a normal ECG waveform refer to the measurement parameters corresponding to each of the waveform templates representing normal ECG waveforms obtained by the data application terminal from the data processing center.

[0115] Specifically, the specific method of obtaining several waveform templates representing normal ECG waveforms from the data processing center can be to obtain, through the data application terminal in the above-mentioned system, several acquisition objects (i.e., the target objects for acquiring acquisition data) from the data storage unit in the data processing center of the above-mentioned system, which are consistent with the current ECG data (i.e., electrocardiogram data) and are waveform templates representing normal ECG waveforms.

[0116] In practical applications, the specific form of the waveform template representing a normal ECG waveform may be a waveform template of a normal ECG waveform that includes a complete heartbeat cycle; the specific form of the measurement parameters corresponding to the waveform template representing a normal ECG waveform may include information such as the amplitude of the ECG waveform and the width of the ECG waveform.

[0117] Step S620: analyzing the electrocardiogram data based on the matching results between the electrocardiogram data and each waveform template representing a normal electrocardiogram waveform and the measurement parameters corresponding to each waveform template representing a normal electrocardiogram waveform.

[0118] In this step, the electrocardiogram data refers to the current electrocardiogram data received by the data application terminal in the above-mentioned system, the specific data type of which is the electrocardiogram data; each waveform template representing a normal electrocardiogram waveform refers to several waveform templates representing a normal electrocardiogram waveform, which refers to each waveform template representing a normal electrocardiogram waveform obtained by the data application terminal from the data processing center; the measurement parameters corresponding to each waveform template representing a normal electrocardiogram waveform refer to the measurement parameters corresponding to each of the several waveform templates representing a normal electrocardiogram waveform obtained by the data application terminal from the data processing center.

[0119] Specifically, based on the matching results between the ECG data and each waveform template representing a normal ECG waveform and the measurement parameters corresponding to each waveform template representing a normal ECG waveform, a specific method of analyzing the ECG data may be to match several waveform templates representing normal ECG waveforms and their corresponding measurement parameters obtained by the data application terminal from the data processing center with the current ECG data currently received by the data application terminal, whose specific data type is ECG data, to obtain the matching result between the two; the matching results between the ECG data and each waveform template representing a normal ECG waveform can be used to characterize whether the ECG waveform represented by each waveform template representing a normal ECG waveform can be used as the dominant waveform for analyzing the ECG data.

[0120] Further, assuming that the aforementioned waveform templates representing normal ECG waveforms and their corresponding measurement parameters cannot match the aforementioned ECG data (or it is difficult to directly obtain the analysis results corresponding to the aforementioned ECG data based on the aforementioned waveform templates representing normal ECG waveforms and their corresponding measurement parameters), it is possible to obtain waveform templates of other ECG waveforms and their corresponding measurement parameters that are consistent with the collection object of the aforementioned ECG data from the data processing center, and use the aforementioned waveform templates representing normal ECG waveforms and their corresponding measurement parameters as the main reference basis, combined with the waveform templates of the aforementioned other ECG waveforms and their corresponding measurement parameters, and compare them with the aforementioned ECG data, thereby obtaining the analysis results of the aforementioned ECG data.

[0121] In practical applications, the specific form of the waveform template representing a normal ECG waveform may be a waveform template of a normal ECG waveform that includes a complete heartbeat cycle; the specific form of the measurement parameters corresponding to the waveform template representing a normal ECG waveform may include information such as the amplitude of the ECG waveform and the width of the ECG waveform.

[0122] The embodiment of the present application effectively improves the analysis efficiency of the ECG data by analyzing the current ECG data based on the matching results between the current ECG data and each waveform template representing a normal ECG waveform and the measurement parameters corresponding to each waveform template representing a normal ECG waveform.

[0123] Regarding the specific method of analyzing the change trend of the target object's ECG data, in one embodiment, Figure 7 As shown, the above ECG data processing method further includes the following steps:

[0124] Step S710, when the current ECG data is ECG data with abnormal ECG waveform, in response to a historical data query request, obtain corresponding historical data from a data processing center; the aforementioned historical data includes at least one of a measurement parameter and an integration result.

[0125] In this step, the current ECG data refers to the current ECG data received by the data application terminal; the historical data query request refers to the historical data query request generated by the data application terminal in the above system for obtaining the corresponding historical data from the data processing center; the current ECG data is the ECG data with abnormal ECG waveform, which means that the specific data type of the current ECG data received by the data application terminal is the ECG data with abnormal ECG waveform; the specific data type contained in the corresponding historical data corresponds to the specific content of the historical data query request sent by the data application terminal to the data processing center.

[0126] Specifically, in response to a historical data query request, a specific method of obtaining corresponding historical data from a data processing center may be that the data application terminal in the above system responds to the historical data query request and obtains from the data processing center corresponding historical data of several acquisition objects (i.e., the target objects for acquiring the acquisition data) that are consistent with the current ECG data (i.e., the ECG data with abnormal ECG waveforms); the data application terminal in the above system responds to the historical data query request and obtains from the data processing center corresponding historical data, which shall include at least one of measurement parameters and integration results.

[0127] Step S720 , analyzing the change trend of the target object's ECG data based on the historical data and the ECG data with abnormal ECG waveforms.

[0128] In this step, historical data refers to the corresponding historical data obtained by the data application terminal in the above-mentioned system from the data processing center in response to the historical data query request; ECG data with abnormal ECG waveform refers to the current ECG data with the specific data type of ECG data with abnormal ECG waveform received by the data application terminal in the above-mentioned system; target object refers to the collection object of the aforementioned historical data and the aforementioned ECG data with abnormal ECG waveform, and the target object may be a patient with the need for ECG data monitoring; ECG data change trend of the target object refers to the ECG data change trend of the target object obtained by analyzing the historical data and the ECG data with abnormal ECG waveform by the data application terminal in the above-mentioned system.

[0129] Specifically, the specific manifestation of the target object's ECG data change trend may be a disease progression trend (i.e., heart disease progression trend) of a patient who has a need for ECG data monitoring.

[0130] In practical applications, the disease progression trend of patients who need ECG data monitoring can be specifically expressed as follows: Figure 8 The form shown.

[0131] Exemplarily, a specific method of analyzing the change trend of the target object's ECG data based on historical data and ECG data with abnormal ECG waveforms may include the following steps:

[0132] First, when a patient comes to the hospital for an ECG data examination for the first time, the ECG data collected by the patient and the corresponding diagnosis results can be stored in the above-mentioned data processing center after structured processing (i.e., the waveform template, measurement parameters, extended parameters and other data corresponding to the ECG data collected by the patient are obtained and sorted based on the preset data structure);

[0133] Then, when the patient comes to the hospital for an ECG data check for the second time, if the doctor finds that there are abnormal ECG waveforms in the patient's current ECG data, the doctor can obtain the corresponding historical data (i.e., the measurement parameters corresponding to the corresponding historical ECG data, or the diagnosis results corresponding to the corresponding historical ECG data) from the above-mentioned data processing center, and use the changes in the measurement parameters between the corresponding historical data and the current ECG data as the basis for analyzing the current ECG data, and then obtain the diagnosis result of the patient's examination this time, so as to know whether the patient's disease development trend shows a benign change state or a malignant change state.

[0134] In a specific implementation, the specific method of analyzing the change trend of the target object's ECG data based on the historical data and the ECG data with abnormal ECG waveforms can be specifically expressed as follows:

[0135] In July 2011, in the emergency room of Hospital B, Doctor A discovered through an electrocardiograph that the electrocardiogram data of Patient A contained features such as II, aVF, I leads, and ST segment elevation. Based on this, Doctor A diagnosed the patient as myocardial ischemia, and stored the electrocardiogram data and diagnostic results obtained this time in the above-mentioned data processing center.

[0136] In August 2013, in the cardiac function room of Hospital B, Doctor B observed the electrocardiogram and found that there were abnormal ECG waveforms in the ECG data of Patient A. Doctor B could obtain the historical data of Patient A in the above-mentioned data processing center and learn that the problem caused by the abnormal ECG waveform of the patient was myocardial ischemia. In addition, during this examination, Doctor B found that there were abnormalities in multiple measurement parameters such as HRV and HRT in the ECG data of Patient A through dynamic ECG detection, and the ST segment measurement value was further elevated. Therefore, Doctor B determined that the patient also had autonomic nerve damage. Based on this, Doctor B's diagnosis conclusion for Patient A this time was myocardial ischemia and autonomic nerve damage, and the ECG data and diagnosis results obtained this time were stored in the above-mentioned data processing center.

[0137] In September 2014, in the cardiac function room of Hospital B, Doctor B discovered abnormal TWA parameters in the ECG data of Patient A through dynamic ECG testing. Therefore, Doctor B's diagnosis of Patient A was abnormal myocardial repolarization coordination, and the ECG data and diagnostic results obtained were stored in the above-mentioned data processing center.

[0138] In October 2016, while patient A was hospitalized in the internal medicine ward of Hospital B, doctor C detected occasional brief ventricular fibrillation and ventricular tachycardia in the patient's ECG data through an ECG monitor. Therefore, doctor C diagnosed patient A as having malignant arrhythmia and stored the ECG data and diagnostic results obtained in the above-mentioned data processing center.

[0139] By obtaining the historical diagnosis conclusion of patient A from the above data processing center, it can be learned that the patient's disease development trend is specifically manifested as: myocardial ischemia -> autonomic nerve damage -> abnormal myocardial repolarization coordination -> malignant arrhythmia.

[0140] The embodiment of the present application analyzes the change trend of the target object's ECG data based on historical data and current ECG data with abnormal ECG waveforms, which can not only improve the efficiency of ECG data analysis, but also effectively improve the accuracy of ECG data analysis results.

[0141] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0142] Based on the same inventive concept, the embodiment of the present application also provides an ECG data processing device for implementing the ECG data processing method involved above. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above method, so the specific limitations in one or more ECG data processing device embodiments provided below can refer to the limitations of the ECG data processing method above, and will not be repeated here.

[0143] In one embodiment, Fig. 9 As shown, an electrocardiogram data processing device is provided, which is applied to the above system, and the device includes:

[0144] A target selection module 910 is used to determine a target data processing module according to the functional type of the ECG acquisition device; the target data processing module includes at least one of the template calculation module, the measurement parameter module, the extended parameter module, and the data integration module;

[0145] The structured processing module 920 is used to perform the structured processing on the collected data using the target data processing module.

[0146] In one embodiment, the structured processing module 920 is specifically used to, if the function type only includes data acquisition, determine the target data processing module as the template calculation module, the measurement parameter module, the extended parameter module, and the data integration module; if the function type includes the data acquisition and template analysis, determine the target data processing module as the measurement parameter module, the extended parameter module, and the data integration module; if the function type includes the data acquisition, the template analysis, and parameter measurement, determine the target data processing module as the data integration module.

[0147] Based on the same inventive concept, the embodiment of the present application also provides an ECG data analysis device for implementing the ECG data analysis method involved above. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above method, so the specific limitations in one or more ECG data analysis device embodiments provided below can refer to the limitations of the ECG data analysis method above, and will not be repeated here.

[0148] In one embodiment, Fig.10 As shown, an electrocardiogram data analysis device is provided, which is applied to the above system, and the device includes:

[0149] The historical data acquisition module 1010 is used to obtain, in response to the historical data query request, from the data processing center a plurality of waveform templates representing normal ECG waveforms and measurement parameters corresponding to the waveform templates representing normal ECG waveforms when the current ECG data is ECG data;

[0150] The ECG data analysis module 1020 is used to analyze the ECG data based on the matching results between the ECG data and each of the waveform templates representing the normal ECG waveform and the measurement parameters corresponding to each of the waveform templates representing the normal ECG waveform.

[0151] In one of the embodiments, the above-mentioned ECG data analysis device also includes: a data change trend module, which is used to obtain corresponding historical data from the data processing center in response to the historical data query request when the current ECG data is ECG data with abnormal ECG waveform; the historical data includes at least one of the measurement parameters and the integration results; based on the historical data and the ECG data with abnormal ECG waveform, analyze the ECG data change trend of the target object.

[0152] Each module in the above-mentioned ECG data processing device and the above-mentioned ECG data analysis device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0153] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Fig.11As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for processing electrocardiogram data or a method for analyzing electrocardiogram data is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0154] Those skilled in the art will understand that Fig.11 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0155] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0156] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0157] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0158] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0159] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0160] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0161] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An electrocardiogram data processing system, characterized in that: The system includes a data acquisition unit, a data processing center, and a data application terminal. The data acquisition unit is connected to the data processing center in communication, and the data processing center is connected to the data application terminal in communication, wherein: The data acquisition unit includes a plurality of ECG acquisition devices; the ECG acquisition devices are used to acquire the acquisition data of the target object and output the acquisition data; The data processing center is used to receive the collected data, perform structured processing on the collected data to obtain target data, and store the target data based on a preset data structure; the target data includes an ECG waveform, a waveform template, measurement parameters, extended parameters, and an integration result; The data application terminal is used to receive current ECG data and historical data query requests, and based on the historical data query requests, obtain corresponding query data from the data processing center, and analyze the current ECG data based on the corresponding query data; the corresponding query data includes at least one of the ECG waveform, the waveform template, the measurement parameters, the extended parameters, and the integration result.

2. The system according to claim 1, characterized in that The data processing center includes a data processing unit; the data processing unit includes a template calculation module, a measurement parameter module, an extended parameter module and a data integration module; wherein, The template calculation module is used to obtain a plurality of waveform templates corresponding to the ECG waveform based on the waveform characteristics of the ECG waveform in the collected data; The measurement parameter module is used to obtain a number of measurement parameters corresponding to the ECG waveform and a number of measurement parameters corresponding to each of the waveform templates; The extended parameter module is used to obtain a plurality of extended parameters based on each normal ECG waveform, each abnormal ECG waveform, a measurement parameter corresponding to each normal ECG waveform, and a measurement parameter corresponding to each abnormal ECG waveform when there are a plurality of normal ECG waveforms and a plurality of abnormal ECG waveforms in the ECG waveform; The data integration module is used to obtain the integration result based on the waveform characteristics, each of the waveform templates, each of the measurement parameters, and each of the extension parameters.

3. The system according to claim 2, characterized in that The data processing center also includes a data storage unit; The data storage unit is used to store the waveform template, the measurement parameter, the extension parameter, and the integration result based on the preset data structure.

4. The system according to claim 3, characterized in that The data storage unit is also used to store the identification number of the target object, the acquisition time of the collected data, and the relevant information of the electrocardiogram collection device.

5. The system according to claim 1, characterized in that The data application terminal includes an interactive interface; the data application terminal is configured to automatically generate the historical data query request based on monitoring of interactive events in the interactive interface.

6. The system according to claim 1, characterized in that The ECG acquisition device is provided with a communication module; the communication module is used to transmit the acquired acquisition data to the data processing center.

7. The system according to claim 6, characterized in that The ECG acquisition equipment includes but is not limited to an electrocardiograph, an ECG monitor, and a dynamic ECG monitor.

8. A method for processing electrocardiogram data, characterized in that: Applied to the system of any one of claims 2 to 7, the method comprising: Determine a target data processing module according to the functional type of the ECG acquisition device; the target data processing module includes at least one of the template calculation module, the measurement parameter module, the extended parameter module, and the data integration module; The target data processing module is used to perform the structured processing on the collected data.

9. The method according to claim 8, characterized in that The step of determining a target data processing module according to the functional type of the electrocardiogram acquisition device comprises: If the function type only includes data acquisition, the target data processing module is determined to be the template calculation module, the measurement parameter module, the extended parameter module, and the data integration module; If the function type includes the data acquisition and template analysis, the target data processing module is determined to be the measurement parameter module, the extended parameter module, and the data integration module; If the function type includes the data acquisition, the template analysis, and the parameter measurement, the target data processing module is determined to be the data integration module.

10. A method for analyzing electrocardiogram data, characterized in that: Applied to the system of any one of claims 1 to 7, the method comprising: In the case where the current ECG data is electrocardiogram data, in response to the historical data query request, obtaining from the data processing center a plurality of waveform templates representing normal ECG waveforms and measurement parameters corresponding to the waveform templates representing normal ECG waveforms; The electrocardiogram data is analyzed based on the matching results between the electrocardiogram data and each of the waveform templates representing the normal electrocardiogram waveform and the measurement parameters corresponding to each of the waveform templates representing the normal electrocardiogram waveform.

11. The method according to claim 10, characterized in that The method further comprises: In the case where the current ECG data is ECG data with abnormal ECG waveform, in response to the historical data query request, obtaining corresponding historical data from the data processing center; the historical data includes at least one of the measurement parameters and the integration result; Based on the historical data and the ECG data with abnormal ECG waveform, a change trend of the ECG data of the target object is analyzed.

12. An electrocardiogram data processing device, characterized in that: The system applied to any one of claims 2 to 7, wherein the device comprises: A target selection module, used to determine a target data processing module according to the functional type of the electrocardiograph acquisition device; the target data processing module includes at least one of the template calculation module, the measurement parameter module, the extended parameter module, and the data integration module; The structured processing module is used to adopt the target data processing module to perform the structured processing on the collected data.

13. An electrocardiogram data analysis device, characterized in that: The system applied to any one of claims 1 to 7, wherein the device comprises: A historical data acquisition module, configured to acquire, in response to the historical data query request, from the data processing center a plurality of waveform templates representing normal ECG waveforms and measurement parameters corresponding to the waveform templates representing normal ECG waveforms when the current ECG data is ECG data; The ECG data analysis module is used to analyze the ECG data based on the matching results between the ECG data and each waveform template representing the normal ECG waveform and the measurement parameters corresponding to each waveform template representing the normal ECG waveform.

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