Empirical mode decomposition of the ECG signal for noise removal

Jesmin Khan; Sharif Bhuiyan; Gregory Murphy; Mohammad Alam

doi:10.1117/12.884744

26 April 2011 Empirical mode decomposition of the ECG signal for noise removal

Jesmin Khan, Sharif Bhuiyan, Gregory Murphy, Mohammad Alam

Proceedings Volume 8055, Optical Pattern Recognition XXII; 805504 (2011) https://doi.org/10.1117/12.884744
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Electrocardiography is a diagnostic procedure for the detection and diagnosis of heart abnormalities. The electrocardiogram (ECG) signal contains important information that is utilized by physicians for the diagnosis and analysis of heart diseases. So good quality ECG signal plays a vital role for the interpretation and identification of pathological, anatomical and physiological aspects of the whole cardiac muscle. However, the ECG signals are corrupted by noise which severely limit the utility of the recorded ECG signal for medical evaluation. The most common noise presents in the ECG signal is the high frequency noise caused by the forces acting on the electrodes. In this paper, we propose a new ECG denoising method based on the empirical mode decomposition (EMD). The proposed method is able to enhance the ECG signal upon removing the noise with minimum signal distortion. Simulation is done on the MIT-BIH database to verify the efficacy of the proposed algorithm. Experiments show that the presented method offers very good results to remove noise from the ECG signal.

Citation Download Citation

Jesmin Khan, Sharif Bhuiyan, Gregory Murphy, and Mohammad Alam "Empirical mode decomposition of the ECG signal for noise removal", Proc. SPIE 8055, Optical Pattern Recognition XXII, 805504 (26 April 2011); https://doi.org/10.1117/12.884744

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