Adaptive de-noising of ECG signal based on stationary wavelet transform.
- Author:
Hong-sheng DONG
1
;
Ai-hua ZHANG
;
Xiao-hong HAO
Author Information
1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China. donghs@lzptc.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Electrocardiography;
methods;
Humans;
Wavelet Analysis
- From:
Chinese Journal of Medical Instrumentation
2009;33(3):163-166
- CountryChina
- Language:Chinese
-
Abstract:
According to the limitations of wavelet threshold in de-noising method, we approached a combining algorithm of the stationary wavelet transform with adaptive filter. The stationary wavelet transformation can suppress Gibbs phenomena in traditional DWT effectively, and adaptive filter is introduced at the high scale wavelet coefficient of the stationary wavelet transformation. It would remove baseline wander and keep the shape of low frequency and low amplitude P wave, T wave and ST segment wave of ECG signal well. That is important for analyzing ECG signal of other feature information.
