Presentation 2006/9/20
Elimination of Power Line Noise in Biological Signal Using a Nonlinear Adaptive Method with Gain Normalization
Yuki SHIMOKAWATO, Naohiro TODA,
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Abstract(in English) When we monitor a biological signal, e.g., electrocardiogram(ECG), it is are contaminated by noise, such as power line interference. To eliminate such noise, a nonlinear adaptive algorithm(ZK algorithm) that doesn't need reference signals was proposed by Ziarani et al. In this paper, we point out a problem that this algorithm depends on the ampulitude of power line noise and propose a modified algorithm to overcome the problem. The performance of the proposed algorithm is verified by numerical experiments.
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Keyword(in English) biological signal / power line noise / nonlinear adaptive algorithm / gain normalization
Paper # SIP2006-74,SIS2006-37,SP2006-60
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Conference Date 2006/9/20(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Elimination of Power Line Noise in Biological Signal Using a Nonlinear Adaptive Method with Gain Normalization
Sub Title (in English)
Keyword(1) biological signal
Keyword(2) power line noise
Keyword(3) nonlinear adaptive algorithm
Keyword(4) gain normalization
1st Author's Name Yuki SHIMOKAWATO
1st Author's Affiliation Graduate School of Information Science and Technology, Aichi Prefectural University()
2nd Author's Name Naohiro TODA
2nd Author's Affiliation Graduate School of Information Science and Technology, Aichi Prefectural University
Date 2006/9/20
Paper # SIP2006-74,SIS2006-37,SP2006-60
Volume (vol) vol.106
Number (no) 262
Page pp.pp.-
#Pages 6
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