Method for generating heart beating waveform template and treating ventricular premature beat detection and device

Abstract

The invention discloses a method for generating a template and detecting a premature beat, and a device. The method comprises the following steps: sequentially and respectively putting M waveforms for measuring a heart beating in N templates relative to the waveforms by sequentially performing a relativity comparison between the waveforms for measuring the heart beating and the N templates, wherein N is less than M; and taking the template which obtains most heart beating times from the first template to the N template as a normal template. The method for detecting the premature beat comprises the following steps: pretreating an inputted electrocardiogram signal to obtain a pretreated signal; extracting the feather parameters of the heart beating for measuring from the pretreated signal, wherein the feather parameters include the width of a QRS wave, an existing RR interphase and a related average RR interphase; obtaining the waveform of the heart beating for measuring from the pretreated signal, and calculating the association coefficient between the waveform of the heart beating for measuring and the waveform of the template; and according to judging conditions that whether the association coefficient between the waveform for measuring the heart beating and the waveform of the template is less than a set threshold and whether the feather parameters are deviated from normal values, judging whether a ventricular premature beat exists.

Description

technical field [0001] The invention relates to the technical field of medical electronics, in particular to a method and device for generating a cardiac beat waveform template and detecting and processing premature ventricular beats. Background technique [0002] Arrhythmia is an important indicator reflecting the instability of cardiac electrical activity. Arrhythmias affect the timing of the heart's synchronized contractions, reducing the efficiency with which the heart pumps blood. Premature Ventricular Contraction (PVC) is the most common abnormal heart rhythm, which has important clinical significance, and most arrhythmias are related to its existence. Therefore, the correct and rapid detection of PVC plays a key role in improving the performance of arrhythmia monitoring and Holter analysis systems. [0003] PVC detection methods in the prior art generally include expert systems, feature extraction, template matching, neural networks, and fuzzy techniques. Among the...

AI Technical Summary

Problems solved by technology

Among them, the physical meaning of the neural network method is not easy to understand, and the training and learning time is relatively long; in order to achieve the purpose of rapid detection, the fuzzy technology method is relatively simple to formulate rules, and it is difficult to adapt to complex ECG records; while the method of feature extraction and template matching It is more commonly used and is generally used for quick identification of PVC. However, the rules of this method are too simple and the accuracy needs to be improved.

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