A Lifting Double-wavelet Algorithm for ECG Signal Denoising

被引：0

作者：

Wang, Chun-Yu ^{[1
]}

Huang, De-Jun ^{[2
]}

Xie, Xue-Qin ^{[1
]}

Zhang, Yu-Peng ^{[1
]}

Wang, Liang-Hung ^{[1
]}

机构：

[1] Fuzhou Univ, Coll Phys & Informat Engn, Dept Microelect, Fuzhou, Peoples R China

[2] Fujian Vocat Coll Bioengn, Fuzhou, Peoples R China

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW) | 2016年

基金：

中国博士后科学基金;

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper introduces a lifting double-wavelet algorithm for electrocardiogram signal denoising by using the improved threshold function in the lifting wavelet decomposition to deal with wavelet coefficients. The results, based on data from MIT-BIT arrhythmia database, show that noise can be eliminated effectively with lower distortion and higher signal-to- noise ratio compared with the single wavelet thresholding method. The algorithm is also highly suitable in real-time signal processing systems and wearable medical devices.

引用

页码：65 / 66

页数：2

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