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
收藏
页码：65 / 66
页数：2
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