Application of Improved Wavelet Threshold in Denoising of ECG Signals.
10.3969/j.issn.1671-7104.2021.01.001
- Author:
Xue TAN
1
;
Jilun YE
1
;
Xu ZHANG
1
;
Chenyang LI
1
;
Jingjing ZHOU
1
;
Kejian DOU
1
Author Information
1. School of Biomedical Engineering Department, Shenzhen University, Shenzhen, 518060.
- Publication Type:Journal Article
- Keywords:
ECG signal;
wavelet threshold denoising;
wavelet transform
- MeSH:
Algorithms;
Computer Simulation;
Electrocardiography;
Signal Processing, Computer-Assisted;
Wavelet Analysis
- From:
Chinese Journal of Medical Instrumentation
2021;45(1):1-5
- CountryChina
- Language:Chinese
-
Abstract:
The ECG signal is susceptible to interference from the external environment during the acquisition process, affecting the analysis and processing of the ECG signal. After the traditional soft-hard threshold function is processed, there is a defect that the signal quality is not high and the continuity at the threshold is poor. An improved threshold function wavelet denoising is proposed, which has better regulation and continuity, and effectively solves the shortcomings of traditional soft and hard threshold functions. The Matlab simulation is carried out through a large amount of data, and various processing methods are compared. The results show that the improved threshold function can improve the denoising effect and is superior to the traditional soft and hard threshold denoising.
