Separating Nonstationary Powerline Interference from ECG Using Empirical Mode Decomposition

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Abstract:

Powerline interference (PLI) is a significant source of noise in Electrocardiogram (ECG). It often exhibits variations in frequency and amplitude along with relatively lower level than that of ECG signal in battery-operated ECG system, whose separation remains a challenging task. The use of masking signal-aided empirical mode decomposition is presented to deal with this problem in this study. Simulation results show that our method can effectively decompose the time-varying PLI into a single intrinsic mode function (IMF) at various interference levels.

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736-740

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February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Alireza K. Ziarani, Student Member, IEEE and Adalbert Konrad 2002 A nonlinear adaptive method of elimination of power line interference in ECG signals IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 49 540-7.

DOI: 10.1109/tbme.2002.1001968

Google Scholar

[2] Norden E. Huang, Zheng Shen, Steven R. Long, Manli C. Wu, Hsing H. Shih, Quanan Zheng, Nai-Chyuan Yen, Chi Chao Tungand Henry H. Liu 1998 The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis Proc.R. Soc. Lond.A. 454 903-995.

DOI: 10.1098/rspa.1998.0193

Google Scholar

[3] Deering R and Kaiser J F 2005 The use of a masking signal to improve Empirical Mode Decomposition /Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on/ 4 458-488.

DOI: 10.1109/icassp.2005.1416051

Google Scholar

[4] Nimunkar, A.J. and Tompkins, W.J. 2007 EMD-based 60-Hz noise filtering of the ECG /Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE/ 22-26 Aug. 2007 1904-7.

DOI: 10.1109/iembs.2007.4352688

Google Scholar

[5] McSharry, P. E., Clifford, G.D., and Tarassenko, L. 2003 A dynamical model for generating synthetic electrocardiogram signals, IEEE Trans. Biomed. Eng., Mar, 50, (3), pp.289-294.

DOI: 10.1109/tbme.2003.808805

Google Scholar