Abstract

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Title:: ECG signal denoising based on EMD and statistical characteristics of IMF components

Author(s):: LU Lirong1; NIU Xiaodong2; WANG Jian3; LI Chunyan4; 1. Department of Biomedical Engineering, Changzhi Medical College, Changzhi 046000, China 2. Department of Basic Medicine, Changzhi Medical College, Changzhi 046000, China 3. Key Laboratory of Information Detection and Processing, North University of China, Taiyuan 030051, China 4. Process Technology Research Institute, Shanxi North Machine-Building Co., Ltd, Taiyuan 030051, China

Keywords:: Keywords: electrocardiogram signal denoising empirical mode decomposition intrinsic mode function component

Abstract:: Abstract: The denoising of electrocardiogram (ECG) signal in empirical mode decomposition (EMD) domain usually involves the empirical identification of the intrinsic mode function (IMF) component based on QRS characteristic wave and the reconstruction of ECG signal. However, due to the personal errors caused by empirical method, the identification is inaccurate. To solve this problem, EMD and the statistical characteristics of IMF component are used to denoise ECG signal. Herein a series of IMF components are obtained by EMD on noisy ECG signals, and then the properties of IMF components are identified using the statistical characteristics of IMF components, and the IMF components identified as ECG signals are used to reconstruct ECG signals. The proposed identification method is based on statistical method, with statistical and practical significance. The proposed method is applied to real ECG signal denoising, and the results show that the method can effectively remove the baseline drift noise and electromyography interference noise of ECG signal, achieving a denoising effect better than that of empirical method.