Baseline wander removal of electrocardiogram signals using multivariate empirical mode decomposition

被引：26
|
作者：
Gupta, Praveen [1 ]
Sharma, Kamalesh Kumar [1 ]
Joshi, Shiv Dutt [2 ]
机构：
[1] Malviya Natl Inst Technol, Dept Elect & Commun Engn, 26,Gayatri Nagar B,Durgapura, Jaipur 302018, Rajasthan, India
[2] Indian Inst Technol, Dept Elect Engn, New Delhi 110016, India
来源：
HEALTHCARE TECHNOLOGY LETTERS | 2015年 / 2卷 / 06期
关键词：
D O I：
10.1049/htl.2015.0029
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A new method for removing the baseline wander (BW) noise based on multivariate empirical mode decomposition is presented. The proposed method is compared with recently introduced technique for BW removal using Hilbert vibration decomposition in terms of correlation coefficient criterion and signal-to-noise ratio. To evaluate the performance of the proposed method, real BW signals are added to synthetic and clinical electrocardiogram (ECG) signals. It is shown that presented methodology has significant scope of removing BW noise in real world ECG signals.\
引用
收藏
页码：164 / 166
页数：3
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