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Automatic analysis method of dynamic electrocardiogram

A dynamic electrocardiogram and automatic analysis technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of inaccuracy and incompleteness, easy misjudgment analysis, and time-consuming electrocardiogram, achieving high accuracy and accurate classification. , good effect

Inactive Publication Date: 2020-01-17
乐普智芯(天津)医疗器械有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the problem to be solved by the present invention is to provide a method for automatic analysis of the dynamic electrocardiogram, which can automatically analyze the ECG data recorded by the dynamic electrocardiogram recorder and obtain the final electrocardiographic report, which solves the problem of doctors reading It takes a long time to analyze the ECG, and it is easy to misjudgment, resulting in inaccurate and incomplete analysis.

Method used

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  • Automatic analysis method of dynamic electrocardiogram
  • Automatic analysis method of dynamic electrocardiogram
  • Automatic analysis method of dynamic electrocardiogram

Examples

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Effect test

Embodiment 1

[0108] Example 1: The wearer, Wang, wears a patch-type dynamic electrocardiogram recorder for 24 hours, and the effective wearing time is 22 hours and 50 minutes. A total of 102,832 heartbeats are analyzed, the maximum heart rate is 132bpm, the minimum heart rate is 51bpm, and the average heart rate is 75bpm. Duration accounted for 2.85% (perfect, far less than 10%), and the 24-hour heart rate trend is as follows Figure 4 As shown, the single-lead long-range ECG data collected by the dynamic electrocardiogram recorder, the single-lead long-range ECG data is transmitted as an input signal to the hardware unit of the patch type dynamic electrocardiogram recorder through Bluetooth or data lines for data reading , the data is read and parsed according to the specified encoding format, sampling rate and precision, such as Figure 5 As shown, the registered binary data is easy to view in hexadecimal form, Figure 6 It is an unidentified heartbeat feature. After the heartbeat featu...

Embodiment 2

[0109] Example 2: The wearer, Mr. Guo, wore a 72-hour dynamic electrocardiogram recorder and detected 1150 premature atrial beats, 5 episodes of supraventricular bigeminy, 27 episodes of supraventricular pairing, and 17 episodes of short burst atrial tachycardia. It has never been detected in the traditional ECG test at the hospital before, such as Figure 8 As shown, the detection data of this embodiment shows that the signal quality of the dynamic electrocardiogram recorder adopting a kind of dynamic electrocardiogram automatic analysis method provided by the present invention is good, and the false error accounts for 2% (perfect, far less than 10%), and the waveform is clear , with an amplitude exceeding 1.5mV.

Embodiment 3

[0110] Example 3: The wearer, Wang, wore a 24-hour dynamic electrocardiogram recorder and detected more than 6,000 premature ventricular beats, including 27 episodes of bigeminy, 35 episodes of triplet, and more than 20 episodes of short burst ventricular tachycardia. Later, there was a compensatory pause as long as 1.9 seconds. The forms of premature ventricular complexes are diverse, and there are at least three different forms of premature ventricular contractions. In addition to normal compensatory intermittent premature ventricular beats, it also includes intercalating premature ventricular beats. In the process of reading and analyzing ECG data, such as Figure 9 The distribution of the Lorenz scatter diagram representing the RR interval can be used to know the possibility of premature ventricle, such as Figure 10 The time scatter diagram shown also shows clear stratification. The time when the r-wave appears is taken as the abscissa, and the interval between the curre...

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Abstract

The invention provides an automatic analysis method of a dynamic electrocardiogram. The automatic analysis method comprises the steps of reading dynamic electrocardiogram data outputted from a dynamicelectrocardio recorder; pretreating the dynamic electrocardiogram data; performing noise detection on the pretreated electrocardio data so as to obtain a noise section fragment; performing heart beatdetection treatment on the dynamic electrocardiogram data, recognizing a plurality of heart beat data in the electrocardiogram data, removing the noise section fragment, and generating an analysis heart beat sequence according to the time sequence; calculating heart beat characteristics, generating a dynamic template, performing heart beat classification, and performing amendment so as to obtainfinal classification; performing analysis and calculation on electrocardiogram events so as to generate electrocardiogram event data; and performing statistics analysis summary on the electrocardiogram event data, and outputting an electrocardiogram report. According to the automatic analysis method disclosed by the invention, the electrocardio data recorded by the dynamic electrocardio recorder can be automatically analyzed, and the final electrocardio report is obtained, so that the problems that doctors spend long time in reading and analyzing the electrocardiogram, erroneous judgment is easy to generate, and analysis is inaccurate and not comprehensive can be solved.

Description

technical field [0001] The invention relates to the technical field of electrocardiographic signal analysis, in particular to a method for automatic analysis of a dynamic electrocardiogram. Background technique [0002] The dynamic electrocardiogram was invented by Norman J. Holter, a doctor of science in the United States in 1957. It can continuously record the body surface electrocardiogram, so it is also called the Holter recorder. Compared with ordinary electrocardiogram, ambulatory electrocardiogram can record a longer time course, and can improve the positive detection rate for transient, especially transient arrhythmias that are difficult to find. It has a wide range of applications, including hospitals, families, medical examination centers and communities, etc. [0003] For the collected ECG signals, a professional physician needs to read, analyze and diagnose to determine the condition of the patient. Since Holter usually records continuously for more than 24 hou...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/0452A61B5/04A61B5/0408
CPCA61B5/7203A61B5/7225A61B5/316A61B5/259A61B5/318A61B5/35
Inventor 苏娅武涛王中文刘建宇杨显昭
Owner 乐普智芯(天津)医疗器械有限公司
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