Double-layer morphological filter based electrocardiosignal preprocessing method

Abstract

The invention discloses a double-layer morphological filter based electrocardiosignal preprocessing method. The method is characterized by including the method: firstly, utilizing a first-layer morphological filter constructed by triangular structure elements to process an original electrocardiosignal f0 so as to obtain a primary filter signal f1; secondly, processing the primary filter signal f1 by the aid of a second-layer morphological filter constructed by linear structural elements to obtain a secondary filter signal f2, and thirdly, comparing the primary filter signal f1 obtained in the first step to the secondary filter signal f2 obtained in the second step to acquire a difference so as to acquire a preprocessed electrocardiosignal f3. The method has the remarkable advantages that electrocardiosignals are processed by the aid of the double-layer morphological filters, on the basis of retaining useful characteristics of the electrocardiosignals, baseline drift in the electrocardiosignals is acquired accurately and is removed effectively by making difference, and accuracy rate of R wave detection during follow-up processing is improved beneficially.

Description

technical field [0001] The invention belongs to biomedical signal processing technology, in particular to a method for preprocessing electrocardiographic signals based on double-layer morphological filtering. Background technique [0002] Biomedical signal processing is a hot spot in the field of signal processing in recent years. Since the birth of ECG (Electrocardiogram) diagnostic technology in the 19th century, it has developed into a professional discipline. Transmission, remote real-time monitoring and automatic diagnosis are the focus of current research. [0003] The electrocardiogram is a variety of potential changes drawn from the body surface through electrocardiography. It is an important means for clinical understanding of cardiac function, auxiliary diagnosis of cardiovascular diseases, and evaluation of various treatment methods. [0004] Such as figure 1 As shown, a typical ECG mainly includes the following parts: [0005] P wave, before the QRS wave, the ...

AI Technical Summary

Problems solved by technology

[0015] (4) Adaptive filtering: In the process of processing, adaptive filtering can automatically follow the frequency conversion of the actual noise signal to overcome the lack of fixed frequency of the traditional filter, but it needs to collect references related to the noise signal and not related to the useful signal except the original signal signal, difficult to meet the requirements

Images