A twelve-lead integrated electrocardiogram analysis system and method

Abstract

The present invention discloses a twelve-lead integrated electrocardiogram analysis system and method, comprising a data acquisition module, which is used to acquire human electrocardiogram data through multiple leads, obtain and save N hours of electrocardiogram data acquired by multiple leads, and transmit the acquired and stored electrocardiogram data to a data analysis module; a data analysis module, which is used to select a lead with the least interference from multiple leads as an analysis lead, and analyze the electrocardiogram data acquired by the analysis lead to obtain N hours of electrocardiogram waveforms and electrocardiogram morphology reports; a data inspection module, which is used to inspect the electrocardiogram waveforms obtained by analyzing the electrocardiogram data acquired by the analysis lead, and find out the electrocardiogram waveforms and corresponding time periods whose waveform quality does not meet the requirements; and a feedback adjustment module, which is used to replace the electrocardiogram data acquired by other leads with corresponding electrocardiogram morphology reports in the time periods whose waveform quality does not meet the requirements, so as to obtain electrocardiogram morphology reports with improved analysis accuracy.

Description

Technical Field

[0001] The present application relates to the field of medical equipment technology, and specifically to a twelve-lead integrated electrocardiogram analysis system and method. Background Art

[0002] In ECG detection equipment, multiple channels that continuously record ECG data for up to 24 hours are called multi-leads, for example, 3 leads or 12 leads. The special software used to analyze ECG data is called a dynamic ECG recording and analysis system, referred to as a HOLTER system. Since the dynamic ECG records the ECG signal of the human body for 24 hours, the size of the QRS waveform will change with the change of the body position, and the voltage of the QRS waveform will change accordingly. In addition, when the environment, body position and state of the subject change, the intensity and frequency of various interference signals in the ECG will also change at any time, resulting in reduced consistency of the ECG signal and decreased waveform quality, thereby affecting the accuracy of the software analysis results, causing the operator to increase the workload of subsequent editing and modification of false alarms and missed alarms, and reduce work efficiency. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a twelve-lead integrated electrocardiogram analysis system and method to solve the problems raised in the above background technology.

[0004] According to one aspect of the present application, a twelve-lead integrated electrocardiogram analysis system includes a twelve-lead wiring harness, a data acquisition module, a data analysis module, a data checking module, and a feedback adjustment module;

[0005] A twelve-lead harness, each lead wire being connected to an electrode pad and being attached to detect electrocardiogram signals;

[0006] A data acquisition module is used to collect human electrocardiogram data through multiple leads, obtain and save N hours of electrocardiogram data collected by multiple leads. The data acquisition module is an electrocardiogram recording device, which can transmit the collected and stored electrocardiogram data to the data analysis module;

[0007] A data analysis module, connected to the data acquisition module, is used to select a lead with minimal interference from multiple leads as an analysis lead, and analyze the electrocardiogram data collected by the analysis lead to obtain an N-hour electrocardiogram waveform and electrocardiogram morphology report. After the initial analysis result is formed, the accuracy of the analysis result is evaluated in different time periods. If the accuracy does not meet the requirements, a new analysis lead is selected for secondary analysis;

[0008] A data checking module, connected to the data analysis module, is used to check the ECG waveforms obtained by analyzing the ECG data collected by the analysis leads, and find out the ECG waveforms whose waveform quality does not meet the requirements and their corresponding time periods;

[0009] The feedback adjustment module is connected to the data detection module and is used to replace the electrocardiogram data collected by other leads with the corresponding electrocardiogram morphology report during the time period when the waveform quality does not meet the requirements, thereby obtaining an electrocardiogram morphology report with improved analysis accuracy.

[0010] Preferably, the data analysis module uses an R-wave recognition algorithm to analyze N hours of electrocardiogram data, obtain the electrocardiogram waveform corresponding to each heartbeat within N hours, and cluster the electrocardiogram waveform to obtain a clustered morphological waveform, and classify the electrocardiogram waveform according to the waveform morphology of the clustered morphological waveform to determine the electrocardiogram waveform category, and count the different categories of electrocardiogram waveforms and the number of heartbeats within N hours to form an electrocardiogram morphology report for N hours.

[0011] Preferably, during the first waveform analysis, the data analysis module selects a lead with the least interference from multiple leads as the analysis lead, and analyzes the 24-hour electrocardiogram data of the human body collected by the analysis lead, and further evaluates the accuracy of the analysis results by time period;

[0012] During the secondary analysis, the data analysis module reselects a lead with relatively good signal quality as the analysis lead, and performs secondary analysis on the electrocardiogram data collected by the lead in the time period to obtain the electrocardiogram waveform and corresponding electrocardiogram morphology report of the time period.

[0013] Preferably, the data inspection module compares the waveform shape of each ECG waveform with the waveform shape of a preset ECG waveform. If the similarity is less than a preset second similarity threshold, the ECG waveform is determined to be an ECG waveform whose waveform quality does not meet the requirements, and statistics are performed on the ECG waveforms whose waveform quality does not meet the requirements within a predetermined time period. If the obtained statistical value is greater than the preset quality statistical threshold, the time period is used as the time period corresponding to the ECG waveform whose waveform quality does not meet the requirements.

[0014] Preferably, the feedback adjustment module replaces the electrocardiogram morphology report of the time period in the first analysis report whose waveform quality does not meet the requirements with the electrocardiogram morphology report obtained by the secondary analysis to form a new electrocardiogram morphology report.

[0015] Preferably, the data acquisition module can continuously collect and store 24 hours of electrocardiogram data of the human body, and transmit the data to the data analysis module for analysis and processing.

[0016] Preferably, the feedback adjustment module verifies the electrocardiogram morphology report of the replacement data during the replacement process to ensure the accuracy and consistency of the report.

[0017] Preferably, the data analysis module generates a detailed ECG morphology report based on the waveform characteristics and statistical results of the ECG waveform, and provides statistical analysis information of the ECG waveform category.

[0018] Preferably, it is used to store collected electrocardiogram data, analysis results, electrocardiogram waveform reports and replaced analysis reports, and provide data query and management functions.

[0019] An analysis method for a twelve-lead integrated electrocardiogram analysis system comprises the following steps:

[0020] S1. Collecting human electrocardiogram data using a twelve-lead harness, obtaining and saving N hours of electrocardiogram data collected by multiple leads;

[0021] S2. Select a lead with minimal interference from the twelve-lead harness as an analysis lead, and analyze the electrocardiogram data collected by the analysis lead using a data analysis module to obtain an electrocardiogram waveform and electrocardiogram morphology report for N hours;

[0022] S3, checking the ECG waveform obtained by analyzing the ECG data collected by the analysis lead through a data checking module, and finding the ECG waveform and the corresponding time period whose waveform quality does not meet the requirements;

[0023] S4. Using the feedback adjustment module, the electrocardiogram morphology report of the electrocardiogram data collected by other leads in the time period replaces the electrocardiogram morphology report whose waveform quality does not meet the requirements, thereby obtaining an electrocardiogram morphology report with improved analysis accuracy.

[0024] The present application discloses a twelve-lead integrated ECG analysis system and method, which can accurately perform secondary analysis on ECG waveforms of unstable quality, improve analysis accuracy by time period, reduce the operator's workload, and improve the operator's work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a block diagram of a twelve-lead integrated electrocardiogram analysis system according to an embodiment of the present application.

[0026] Figure 2 This is a principle block diagram of an analysis method of a twelve-lead integrated electrocardiogram analysis system according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to make the contents of this application easier to understand, the technical solutions in the embodiments of this application will be described clearly and completely below in conjunction with the drawings in the embodiments of this application.

[0028] like Figure 1 and Figure 2 As shown, a twelve-lead integrated electrocardiogram analysis system includes a twelve-lead wiring harness, a data acquisition module, a data analysis module, a data inspection module and a feedback adjustment module.

[0029] A 12-lead harness, each with an electrode attached, is placed on the human body to detect ECG signals. This 12-lead harness fully covers the entire ECG signal area, improving the accuracy and comprehensiveness of signal acquisition.

[0030] The data acquisition module is configured to collect ECG data from a human body using multiple leads and store N hours of ECG data collected from the multiple leads (e.g., N is 24, 36, or 48 hours). In an embodiment, the data acquisition module may be a portable ECG recording device that is responsible for transmitting the collected and stored ECG data to the data analysis module via a data cable or wirelessly.

[0031] The functions of the data analysis module include:

[0032] A lead with the least interference is selected from multiple leads as an analysis lead.

[0033] Perform the first analysis on the ECG data collected by the analysis lead to obtain the ECG waveform and ECG morphology report for N hours.

[0034] The R-wave recognition algorithm is used to analyze the ECG waveform corresponding to each heartbeat within N hours, and the waveform is clustered and classified to form an ECG morphology report.

[0035] The accuracy of the analysis results is evaluated in different time periods. If a time period with unsatisfactory accuracy is found, leads with less interference are re-selected for secondary analysis to obtain higher-precision analysis results.

[0036] The data check module is responsible for quality checking of the ECG data collected by the analysis lead. Its specific implementation includes:

[0037] Each ECG waveform is compared with a preset standard ECG waveform. If the similarity is less than a preset similarity threshold, it is determined that the waveform quality does not meet the requirements.

[0038] Perform statistical analysis on the time period where the waveform quality does not meet the requirements. If the statistical value is greater than the preset quality statistical threshold, the time period is marked as a time period that needs to be re-analyzed.

[0039] The feedback adjustment module uses the electrocardiogram morphology report of the time period obtained by the secondary analysis to replace the electrocardiogram morphology report of the same time period in the first analysis result, thereby generating a new high-precision analysis report.

[0040] Workflow: The data acquisition module collects and saves N hours of ECG data and transmits the data to the data analysis module; the data analysis module uses an algorithm to perform an initial analysis of the collected ECG data and generates a preliminary ECG morphology report.

[0041] The data inspection module evaluates the quality of the ECG waveform and identifies the time periods when the waveform quality does not meet the requirements; for time periods where the quality does not meet the requirements, the data analysis module reselects the lead with the least signal interference from multiple leads as the secondary analysis lead, and performs a secondary analysis of the data in that time period; the feedback adjustment module replaces the low-quality part of the first analysis result with the secondary analysis result, thereby forming a final high-precision analysis report.

[0042] The present invention can realize time-segment analysis of long-term electrocardiogram data. Through the initial analysis and time-segment secondary analysis, it effectively avoids errors caused by lead interference and improves the analysis accuracy; it uses automated software algorithms to quickly complete electrocardiogram waveform recognition, classification and statistics, thereby accelerating data processing; through multiple analyses and feedback adjustments, it generates more accurate electrocardiogram morphology reports, thereby improving report reliability.

[0043] In one embodiment, using N=24 as an example, the data acquisition module records and stores 24 hours of ECG data. The data is then transmitted to a computer, where software performs a preliminary waveform analysis, generating a preliminary ECG morphology report corresponding to each heartbeat within the 24-hour period. If waveform quality is poor for a particular time period, the system reselects the optimal analysis lead for that time period for a secondary analysis. The secondary analysis replaces the preliminary results for the low-quality time period, ultimately generating a high-precision analysis report.

[0044] An analysis method for a twelve-lead integrated electrocardiogram analysis system comprises the following steps:

[0045] Step S1: Multiple leads are used to collect ECG data from the human body, recording and saving N hours (e.g., 24, 36, or 48 hours) of multi-lead ECG data. Each lead is connected to an electrode pad, and the collected signal fully reflects the human body's ECG activity. The data is stored by the data acquisition module and transmitted to the subsequent processing module.

[0046] Step S2: Select a lead with the least interference from multiple leads as the analysis lead, and use the data of this lead to perform electrocardiogram analysis to generate a preliminary electrocardiogram morphology report. This specifically includes the following sub-steps:

[0047] Step S21, R wave recognition and heartbeat analysis: Use the R wave recognition algorithm to process N hours of ECG data, extract the ECG waveform corresponding to each heartbeat, and obtain a set of all ECG waveforms within N hours.

[0048] Step S22: Clustering: Locate the point with the maximum amplitude in each ECG waveform and mark it as a feature point. All marked ECG waveforms are uniformly sampled to generate point-like ECG waveforms. These point-like ECG waveforms are moved to a preset longitudinal reference axis (the axis where the maximum amplitude point is located) and superimposed along the reference axis to generate clustered morphological waveforms. Clustering is performed based on the differences in the superimposed morphologies to obtain different types of ECG waveforms.

[0049] Step S23: Classification: ECG waveforms in the clustered morphological waveforms whose similarity is greater than or equal to a preset first similarity threshold are classified into the same category. ECG waveform categories are determined and the number of ECG waveforms and heartbeats of each category is counted.

[0050] Step S24: Generate an ECG morphology report: The preliminary report includes: ECG waveforms corresponding to each heartbeat within N hours, N hours divided into M time periods, and statistical data on the number of heartbeats in each time period and different types of ECG waveforms.

[0051] Step S3: Check the quality of the ECG waveform in the preliminary analysis results to identify the ECG waveforms that do not meet the quality requirements and their corresponding time periods. The specific method includes:

[0052] Step S31: Compare the shape of each ECG waveform with the shape of a preset standard waveform. If the similarity is less than a preset second similarity threshold, it is determined to be an ECG waveform that does not meet the quality requirements.

[0053] Step S32: Count the number of ECG waveforms that do not meet the waveform quality requirements in each time period.

[0054] Step S33: If the number of waveforms whose quality does not meet the requirements in a certain time period exceeds a preset quality statistics threshold, the time period is marked as a waveform quality unstable time period.

[0055] Step S4: For the time period when the waveform quality does not meet the requirements, select the lead with the least signal interference from other leads as the secondary analysis lead, and perform secondary analysis on the collected data. The specific steps include:

[0056] Step S31: re-perform R-wave recognition, waveform clustering and classification processing on the ECG data of the secondary analysis lead to form a secondary ECG morphology report for the time period.

[0057] Step S32: The secondary analysis ECG morphology report is used to replace the results in the preliminary report for the time period in which the waveform quality does not meet the requirements, and an optimized ECG morphology report is generated.

[0058] The above embodiments are intended only to illustrate the technical solutions of the embodiments of the present application and are not intended to limit them. Although the embodiments of the present application have been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that, without departing from the spirit and scope defined by the claims of the present application, they may still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein with equivalents.

Claims

1. A twelve-lead integrated electrocardiogram analysis system, characterized in that: It includes a twelve-lead wiring harness, a data acquisition module, a data analysis module, a data checking module and a feedback adjustment module; A twelve-lead harness, each lead wire is connected to an electrode sheet and is used to be attached to detect electrocardiogram signals; A data acquisition module is used to collect human electrocardiogram data through multiple leads, obtain and save N hours of electrocardiogram data collected by multiple leads, and the data acquisition module is an electrocardiogram recording device, which can transmit the collected and stored electrocardiogram data to the data analysis module; A data analysis module, connected to the data acquisition module, is used to select a lead with the least interference from multiple leads as an analysis lead, and analyze the electrocardiogram data collected by the analysis lead to obtain an N-hour electrocardiogram waveform and electrocardiogram morphology report, and after the first analysis result is formed, an evaluation is performed in different time periods according to the accuracy of the analysis result. If the accuracy does not meet the requirements, a new analysis lead is selected for secondary analysis; A data checking module, connected to the data analysis module, is used to check the ECG waveform obtained by analyzing the ECG data collected by the analysis lead, and find out the ECG waveform whose waveform quality does not meet the requirements and its corresponding time period; The feedback adjustment module is connected to the data detection module and is used to replace the electrocardiogram data collected by other leads with the corresponding electrocardiogram morphology report during the time period when the waveform quality does not meet the requirements, thereby obtaining an electrocardiogram morphology report with improved analysis accuracy.

2. A twelve-lead integrated electrocardiogram analysis system according to claim 1, characterized in that: The data analysis module uses an R-wave recognition algorithm to analyze N hours of electrocardiogram data, obtains the electrocardiogram waveform corresponding to each heartbeat within N hours, and clusters the electrocardiogram waveform to obtain a clustered morphology waveform, and classifies the electrocardiogram waveform according to the waveform morphology of the clustered morphology waveform to determine the electrocardiogram waveform category, and counts the different categories of electrocardiogram waveforms and the number of heartbeats within N hours to form an electrocardiogram morphology report for N hours.

3. A twelve-lead integrated ECG analysis system according to claim 2, characterized in that: During the first waveform analysis, the data analysis module selects a lead with the least interference from multiple leads as an analysis lead, analyzes the 24-hour electrocardiogram data of the human body collected by the analysis lead, and further evaluates the accuracy of the analysis results by time period; During the secondary analysis, the data analysis module reselects a lead with relatively good signal quality as an analysis lead, and performs secondary analysis on the electrocardiogram data collected by the lead in the time period to obtain the electrocardiogram waveform and corresponding electrocardiogram morphology report of the time period.

4. A twelve-lead integrated ECG analysis system according to claim 3, characterized in that: The data inspection module compares the waveform shape of each ECG waveform with the waveform shape of a preset ECG waveform. If the similarity is less than a preset second similarity threshold, the ECG waveform is determined to be an ECG waveform whose waveform quality does not meet the requirements, and statistics are collected on the ECG waveforms whose waveform quality does not meet the requirements within a predetermined time period. If the obtained statistical value is greater than a preset quality statistical threshold, the time period is used as the time period corresponding to the ECG waveform whose waveform quality does not meet the requirements.

5. A twelve-lead integrated ECG analysis system according to claim 4, characterized in that: The feedback adjustment module replaces the electrocardiogram morphology report of the time period in the first analysis report whose waveform quality does not meet the requirements with the electrocardiogram morphology report obtained by the secondary analysis to form a new electrocardiogram morphology report.

6. A twelve-lead integrated ECG analysis system according to claim 5, characterized in that: The data acquisition module can continuously collect and store the electrocardiogram data of the human body for 24 hours, and transmit the data to the data analysis module for analysis and processing.

7. A twelve-lead integrated ECG analysis system according to claim 6, characterized in that: During the replacement process, the feedback adjustment module verifies the electrocardiogram morphology report of the replacement data to ensure the accuracy and consistency of the report.

8. The twelve-lead integrated ECG analysis system according to claim 7, characterized in that: The data analysis module generates a detailed ECG morphology report based on the waveform characteristics and statistical results of the ECG waveform, and provides statistical analysis information of the ECG waveform category.

9. A twelve-lead integrated ECG analysis system according to claim 8, characterized in that: It is used to store collected ECG data, analysis results, ECG waveform reports and replaced analysis reports, and provides data query and management functions.

10. An analysis method for a twelve-lead integrated electrocardiogram analysis system, characterized in that: The following steps are involved: S1, acquiring human electrocardiogram data by using a twelve-lead harness, obtaining and saving N hours of electrocardiogram data acquired by multiple leads; S2, selecting a lead with the least interference from the twelve-lead harness as an analysis lead, and analyzing the electrocardiogram data collected by the analysis lead through a data analysis module to obtain an electrocardiogram waveform and electrocardiogram morphology report for N hours; S3, checking the ECG waveform obtained by analyzing the ECG data collected by the analysis lead through a data checking module, and finding the ECG waveform and the corresponding time period whose waveform quality does not meet the requirements; S4. Replace the electrocardiogram morphology report whose waveform quality does not meet the requirements with the corresponding electrocardiogram morphology report of the electrocardiogram data collected by other leads in the time period through the feedback adjustment module, so as to obtain an electrocardiogram morphology report with improved analysis accuracy.

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