NDLI: A PLL based adaptive power line interference filtering from ECG signals

Content Provider	IEEE Xplore Digital Library
Author	Zeinali Zadeh, M.M. Niketeghad, S. Amirfattahi, R.
Copyright Year	2012
Description	Author affiliation: Digital Signal Processing Research Lab., Department of Electrical and Computer Engineering, Isfahan University of Technology, 84156-83111, Iran (Zeinali Zadeh, M.M.; Niketeghad, S.; Amirfattahi, R.)
Abstract	One of the challenges for electrocardiogram (ECG) signals extraction is additive power line interference (PLI) which contains 50Hz or 60Hz base frequency and several harmonics. Variety of fixed-frequency and adaptive notch filter structures are proposed for power line interference suppression. Because of frequency varying behavior of power line interference, fixed frequency filters suffer from the problem of low noise attenuation rate when the interference frequencies drift from their nominal values, and also signal amplitude and phase destruction around interference frequencies due to relatively high notching bandwidth. On the other hand adaptive filters are given high calculation costs. In this paper we propose a real-time, low calculation cost adaptive notch filter, using phase-locked loop (PLL). Experimental results show that in extremely noisy environments where input SNR is around − 20dB, average SNR enhancement of proposed method is approximately 40dB. This value is also as good as 35dB for −10dB input SNR.
Starting Page	490
Ending Page	496
File Size	1111500
Page Count	7
File Format	PDF
ISBN	9781467314787
e-ISBN	9781467314794
DOI	10.1109/AISP.2012.6313797
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-02
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	ECG signals Adaptive notch filter Adaptive filters IIR filters Interference Bandwidth Phase-locked loop Electrocardiography Power line interference Power harmonic filters Signal to noise ratio
Content Type	Text
Resource Type	Article

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