P wave identifying and positioning method based on multi-lead cluster analysis

Abstract

The invention discloses a P wave identifying and positioning method based on multi-lead cluster analysis. The method comprises the following steps: a) performing preprocessing; b) finding out positions of a main wave and a T wave of each lead to obtain data after smoothing of QRS wave group and T waves; c) preliminarily determining the position of the P wave in each lead; d) classifying the P waves based on common knowledge of electrocardiography and performing classification supplement; e) performing calibration to determine the position of the P wave in each lead. The specific position of the P wave in each lead is determined by considering the inner correlation between leads and using a clustering analysis tool in multiple stages and at multiple levels, the problem of difficulty in identifying and positioning of the irregular P waves is better solved, and the method is easy to understand and implement and higher in precision.

Description

technical field [0001] The invention provides a P wave identification method based on multi-lead cluster analysis, which relates to the field of electrocardiogram intelligent diagnosis. Background technique [0002] Electrocardiogram examination is a common item in physical examination. If the patient is suspected of having arrhythmia symptoms, he usually goes to the hospital to have an electrocardiogram. A wearable ECG detector, worn for two weeks or more, will generate hundreds of hours of ECG, which requires a second-by-second check by a doctor, which is time-consuming. If the machine can make intelligent judgments first to find out the time and location of possible arrhythmias, and then the doctor can further diagnose these locations, it can greatly improve efficiency and save resources. The original intention of the invention of this patent comes from this. [0003] Obviously, in order for the machine to find possible arrhythmia locations, the most basic job is to find...

AI Technical Summary

Problems solved by technology

Among them, due to the low frequency, low amplitude, and various forms of P waves, it is very difficult to identify and locate P waves, which has always been the focus and difficulty of automatic ECG analysis algorithms.

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