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Power-line Interference Removal of Bioelectric Signal Measurement by using Genetic Adaptive Filter

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3 Author(s)
Bor-Shyh Lin ; Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei ; Bor-Shing Lin ; Fok-Ching Chong

In this study, we proposed a genetic adaptive filter to removing power-line interference. In previous work, the proposed structure, which extracts the interference component from the input biomedical signal to be a reference signal of the adaptive filter to estimate power-line interference, is effective for removing interference. Since this adaptive filter with least-mean square algorithm is sensitive to the eigenvalue spread of the autocorrelation matrix of the reference signals, and the selection of its step-size. Thus, we employ the genetic parallel search technique to improve the least-mean square algorithm. Through simulations, it shows that the adaptive filter with genetic algorithm provides better performance with any step-size

Published in:

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Date of Conference:

17-18 Jan. 2006