Electrocardiosignal preprocessing method based on morphological multiresolution decomposition

Abstract

The invention provides an electrocardiosignal preprocessing method based on morphological multiresolution decomposition, which comprises the following steps that (1) a linear structural element is applied to drifting of a correction baseline of a morphological filter; (2) a lifting method is applied to constructing of morphological multiresolution to decompose an electrocardiosignal to a second layer and a third layer; and (3) a component with less QRS (Quantum Resonance Spectrometer) complex wave distortion in signal components of the second layer and the third layer is selected as a preprocessed electrocardiosignal. According to the electrocardiosignal preprocessing method, the linear structural element is applied to drifting of the correction baseline, so that waveform distortion is reduced to a greater degree. A morphological multiresolution decomposition method is applied to filtering of high-frequency noise such as electromyography disturbance, the performance is superior to that of the preprocessing method of wavelet transform and morphological filtering, and the method is simple and easy to realize. The lifting method is adopted to construct multilayer morphological decomposition, because prediction and update operators which are suitable for the electrocardiosignal are selected, the denoising performance is further optimized, and the distortion of characteristic waves of the electrocardiosignal is reduced.

Description

technical field [0001] The invention relates to an electrocardiographic signal preprocessing method, in particular to an electrocardiographic signal preprocessing in a resource-limited electrocardiographic processing module in a telemedicine system. Background technique [0002] Heart disease has become the number one killer of human health. At present, about 17.5 million people die of heart disease every year in the world, accounting for 30% of all deaths. As an important basis for diagnosing the physiological and pathological states of the heart, ECG (Electrocardiogram) diagnostic technology has developed into a professional discipline since its birth in the early nineteenth century. Remote real-time monitoring and automatic diagnosis are the focus of research in this field. [0003] An ECG is a graph of the heart's electrical activity recorded by placing electrodes at specific locations on the body surface. A typical electrocardiogram is figure 1 As shown, it mainly in...

AI Technical Summary

Problems solved by technology

[0012] Based on the preprocessing method of wavelet transform and morphological filtering, this improves the distortion of the characteristic waveform to a certain extent, and cannot avoid the block effect caused by linear structural elements

Images