Method for detecting R wave crest of electrocardiosignal

Abstract

The invention provides a method for detecting an R wave crest of an electrocardiosignal. The method takes point to point difference vector as a base characteristic. The base characteristic has translational and rotational invariance and can overcome influences of baseline drift of the electrocardiosignal. Meanwhile, logarithm polar coordinate conversion is carried out on the difference vector to measure similarity of waveforms. The measurement is sensitive to morphological characteristics of the adjacent waveforms, can capture the whole contour information of the waveforms at the same time, and has robustness on waveform swing. In addition, the method can effectively eliminate influences of interference signals by setting appropriate thresholds. The method for converting the point to point similarity measurement into measurement of waveforms of the points accurately identifies and detects the R wave crest of the electrocardiosignal. The method is applied to related electrocardiogram analytical instruments, can accurately identify the R wave crest in the electrocardiosignal, and is favorable for improving detection and analysis capabilities of electrocardiogram analytical equipment.

Description

technical field [0001] The invention relates to the technical field of automatic detection and analysis of electrocardiographic signals, in particular to an electrocardiographic signal R-peak detection method for feature extraction and matching of electrocardiographic signals. Background technique [0002] Electrocardiogram (ECG for short) means that in each cardiac cycle, the heart is excited successively by the pacemaker, atria, and ventricles. changing graphics. The electrocardiogram is an objective indicator of the occurrence, propagation and recovery process of cardiac excitement. The QRS complex wave is an important feature of the ECG signal, and it is also the most basic problem in the detection of the ECG signal. It is not only the most important basis for diagnosing arrhythmia, but also other details of the ECG signal can only be analyzed after the QRS complex wave is determined. , for more information. If the QRS complex wave detection is inaccurate, it will gre...

AI Technical Summary

Problems solved by technology

However, the wavelet transform modulus maximum detection method is powerless in many cases. For example, when there is interference with high frequency and large amplitude, the wavelet transform modulus maximum detection cannot effectively distinguish the band as R wave. It is still interference; when the interference lasts for a long time rather than within a beat, the wavelet transform modulus maximum detection will also judge the interference whose frequency and amplitude are equivalent to the R wave as the R wave

These interferences will invalidate the wavelet transform modulus maximum detection method, thereby affecting the detection accuracy of the R peak in the ECG signal

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