Automated detection method of QRS wave groups of electrocardiosignals

A technology of QRS wave group and ECG signal, which is applied in the field of medical electronics, can solve the problems that the accuracy and running speed do not meet the standard requirements, and achieve the effect of simplifying the calculation complexity, improving the sensitivity and accuracy, and meeting the application requirements

Active Publication Date: 2018-03-13
成都瑞迪康医疗科技有限公司
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Problems solved by technology

[0006] To sum up, although a variety of QRS complex automatic detection algorithms for ECG signals have been publicly reported, the automatic analysis, processing and identification of ECG signals still mainly rely on medical staff for

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  • Automated detection method of QRS wave groups of electrocardiosignals
  • Automated detection method of QRS wave groups of electrocardiosignals
  • Automated detection method of QRS wave groups of electrocardiosignals

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Embodiment Construction

[0023] Present embodiment is a kind of possible realization on personal computer (PC) and Matlab software platform, and main process is as figure 1 As shown, its specific implementation steps are as follows:

[0024] 1. Perform differential preprocessing on the collected ECG signals. The specific process is as follows:

[0025] (1) Preprocessing the collected ECG signals, such as figure 2 Shown:

[0026] 1) Use a band-pass filter to filter out high-frequency interference unrelated to ECG signals such as myoelectric noise;

[0027] 2) Use a median filter to suppress baseline drift;

[0028] 3) Use a moving average filter to remove power frequency interference and improve the filtering effect.

[0029] (2) Perform first-order time-domain fixed-point difference threshold calculation on the ECG signal, the specific calculation process is as follows:

[0030] xDiff(n)=x 1 (n+7)-x 1 (n) (2)

[0031] Where xDiff(n) is the signal after the first-order time-domain fixed-point ...

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Abstract

The invention provides an automated detection method of QRS wave groups of electrocardiosignals according to a time-domain difference threshold theory. The method comprises the concrete steps: S1, pre-processing electrocardiosignals; S2, calculating first-order time-domain fixed-point difference threshold of electrocardiosignals; S3, calculating self-adaptive threshold value; S4, detecting R wavecrest value points by combining self-adaptive threshold value and differential signals; S5, carrying out an echo detecting test on detected R wave crest value points. The automated detection method ofQRS wave groups of electrocardiosignals can be used for instruments and equipment for automatic analysis and recognition of surface electrocardiograms. Therefore, sensitivity and accuracy of automatic detection of QRS wave groups of electrocardiosignals are improved. The algorithm operation efficiency is increased.

Description

technical field [0001] The invention belongs to the technical field of medical electronics, and in particular relates to an automatic detection method for QRS wave groups in an electrocardiogram (ECG), in particular to a detection method which can be used for automatic analysis of body surface electrocardiograms and heart rhythm identification. Background technique [0002] Arrhythmia is a clinical manifestation of abnormal cardiac electrical activity, which is reflected in the abnormality of the excitability and conduction pathways of cardiomyocytes. When the arrhythmia is severe, the pumping function of the heart can be lost, which is life-threatening. According to the latest survey published in the New England Journal of Medicine in 2005, cardiovascular disease has become the leading cause of human death. In China, cardiovascular and cerebrovascular diseases are diseases with the highest annual new rate, highest recurrence rate, and high disability and death rate. Accor...

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Application Information

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IPC IPC(8): A61B5/0402A61B5/0452A61B5/0456A61B5/352
CPCA61B5/7203A61B5/7235A61B5/725A61B5/7282A61B5/316A61B5/318A61B5/352A61B5/349
Inventor 谢春柳张鑫书赖大坤
Owner 成都瑞迪康医疗科技有限公司
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