Sensors 2010, 10(6), 6063-6080; doi:10.3390/s100606063
Article

Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition

email
Received: 29 April 2010; in revised form: 20 May 2010 / Accepted: 10 June 2010 / Published: 17 June 2010
(This article belongs to the Special Issue Sensors in Biomechanics and Biomedicine)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: A novel noise filtering algorithm based on ensemble empirical mode decomposition (EEMD) is proposed to remove artifacts in electrocardiogram (ECG) traces. Three noise patterns with different power—50 Hz, EMG, and base line wander – were embedded into simulated and real ECG signals. Traditional IIR filter, Wiener filter, empirical mode decomposition (EMD) and EEMD were used to compare filtering performance. Mean square error between clean and filtered ECGs was used as filtering performance indexes. Results showed that high noise reduction is the major advantage of the EEMD based filter, especially on arrhythmia ECGs.
Keywords: arrhythmia ECG; ensemble empirical mode decomposition; composite noise; filter
PDF Full-text Download PDF Full-Text [298 KB, uploaded 21 June 2014 03:03 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Chang, K.-M. Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition. Sensors 2010, 10, 6063-6080.

AMA Style

Chang K-M. Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition. Sensors. 2010; 10(6):6063-6080.

Chicago/Turabian Style

Chang, Kang-Ming. 2010. "Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition." Sensors 10, no. 6: 6063-6080.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert