QRS-wave-group detection method

Abstract

The invention provides a QRS-wave-group detection method. The QRS-wave-group detection method includes the steps that signals are pretreated to obtain an initial amplitude threshold value and an initial slope threshold value; the wave peak of a R wave is sought in the pretreated signals according to the initial amplitude threshold value and the initial slope threshold value, and the type and the end point of the R wave are judged according to the wave peak of the R wave; the type of a Q wave is judged according to the type and the wave peak of the R wave, and the wave trough of the Q wave is sought; the starting point and the end point of the Q wave and the wave trough of an S wave are sought, the type of the S wave is judged, and the starting point and the end point of the S wave are sought. The QRS-wave-group detection method is accurate in positioning and high in detection real-time performance, the starting and end points of special points can be positioned, more important diagnosis indexes are provided for electrocardiogram diagnosis, and the accuracy of the time limit of QRS waves can be increased.

Description

technical field [0001] The invention relates to the field of electrocardiographic signal detection, in particular to a QRS wave group detection method. Background technique [0002] In the existing ECG signal measurement, there are many detection methods for QRS complexes, the common ones are: differential threshold method, template matching method, neural network and wavelet transform method. When arrhythmia and premature ventricle occur, the maximum amplitude of a single cycle R wave is very different from the minimum amplitude of a single cycle R wave, and the RR interval is irregular, and the traditional differential threshold method cannot be accurately located; the template matching method It is greatly affected by signal noise and baseline drift; the neural network method cannot meet the real-time detection; the wavelet transform method is computationally intensive, too complex, time-consuming, and cannot locate the start and end points of feature points. [0003] Ex...

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Problems solved by technology

When arrhythmia and premature ventricle occur, the maximum amplitude of a single cycle R wave is very different from the minimum amplitude of a single cycle R wave, and the RR interval is irregular, and the traditional differential threshold method cannot be accurately located; the template matching m

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