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Sensors 2010, 10(6), 6063-6080; doi:10.3390/s100606063
Article
Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition
Received: 29 April 2010 / Revised: 20 May 2010 / Accepted: 10 June 2010 / Published: 17 June 2010
(This article belongs to the Special Issue Sensors in Biomechanics and Biomedicine)
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.
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MDPI and ACS Style
Chang, K.-M. Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition. Sensors 2010, 10, 6063-6080.
AMA StyleChang K-M. Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition. Sensors. 2010; 10(6):6063-6080.
Chicago/Turabian StyleChang, Kang-Ming. 2010. "Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition." Sensors 10, no. 6: 6063-6080.