Method, system and device and medium for detecting starting point and ending point of electrocardiogram feature

Abstract

The invention provides a method, a system and a device and a medium for detecting starting point and ending point of electrocardiogram feature, and the method comprises the steps: obtaining electrocardiogram data, and carrying out the denoising processing of the electrocardiogram data, and obtaining a first filtering signal; decomposing the first filtering signal, and enriching the decomposed signal to obtain a plurality of wavelets; determining positions and peak values of the wavelets through a plurality of limited region windows according to QRS complex wave features and electrocardiogram time domain features; according to the peak value, the slope of a point in the limited area window and the absolute maximum and minimum value of the slope, obtaining a starting point and an ending point of the wavelet through positioning. According to the method, the starting point and the ending point of the electrocardiogram feature wave can be accurately detected, time and amplitude features required by electrocardiogram diagnosis can be conveniently and accurately extracted, a basis is provided for electrocardiogram diagnosis, research and development of an automatic electrocardiogram diagnosis system and recognition and diagnosis of related diseases, and therefore the method can be widely applied to the technical field of electrocardiogram data processing.

Description

technical field [0001] The invention relates to the technical field of electrocardiogram data processing, in particular to a method, system, device and medium for detecting the start point and end point of electrocardiogram features. Background technique [0002] Electrocardiogram (ECG) analysis is one of the most commonly used examinations in the prevention of heart disease, and can also help doctors diagnose arrhythmia, myocardial ischemia, myocardial infarction and other cardiovascular diseases. The time characteristics and amplitude characteristics of ECG characteristic waves are the main basis for clinical diagnosis. Accurately extracting P, Q, R, S, T waves and other characteristic waves in ECG signals and their starting point and end point is the prerequisite for extracting diagnostic indicators such as ECG time and amplitude characteristics. At present, most characteristic wave detections only stop at the identification of characteristic waves. In characteristic wa...

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Problems solved by technology

[0003] The current scheme for extracting the start point and end point of the ECG feature wave is basically aimed at the extraction of the start point and end point of a single feature wave. The characteristic waves of the homogeneous electrocardiogram may have abnormal forms such as double peaks, which may easily cause false detection, affect the accuracy of the starting point and end point of the detected characteristic waves, and then affect the extraction of time and amplitude features

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