Empirical Mode Decomposition in ECG Signal De-noising

被引：0
|
作者：
German-Sallo, Zoltan [1 ]
German-Sallo, Marta [2 ]
Grif, Horatiu-Stefan [1 ]
机构：
[1] Univ Med Pharm Sci & Technol Targu Mures, Fac Engn, 1 Nicolae Iorga, Targu Mures, Romania
[2] Univ Med Pharm Sci & Technol Targu Mures, Fac Med, Targu Mures, Romania
来源：
6TH INTERNATIONAL CONFERENCE ON ADVANCEMENTS OF MEDICINE AND HEALTH CARE THROUGH TECHNOLOGY, MEDITECH 2018 | 2019年 / 71卷
关键词：
Empirical mode decomposition; Signal processing; Denoising;
D O I：
10.1007/978-981-13-6207-1_24
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Empirical Mode Decomposition (EMD) is an acknowledged procedure which has been widely used for non-stationary and nonlinear signal processing. The main idea of the EMD method is to decompose the processed signal into components without using any basis functions. This is a data driven representation and provides intrinsic mode functions (IMFs) as components. These are obtained through a so-called sifting process. This study presents an EMD decomposition-based filtering procedure applied to ECG signals (from specific databases), the results are evaluated through signal to noise ratio (SNR) and mean square error (MSE). The obtained results are compared with discrete wavelet transform based filtering results.
引用
收藏
页码：151 / 155
页数：5
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