Power-line interference removal of bioelectric signal measurement by using genetic adaptive filter

Bor-Shyh Lin, Bor Shing Lin, Fok Ching Chong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages4557-4559
Number of pages3
DOIs
StatePublished - 1 Dec 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 1 Sep 20054 Sep 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period1/09/054/09/05

Keywords

  • Adaptive filter
  • Genetic algorithm
  • Least-mean square algorithm
  • Power-line interference

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    Lin, B-S., Lin, B. S., & Chong, F. C. (2005). Power-line interference removal of bioelectric signal measurement by using genetic adaptive filter. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 4557-4559). [1615483] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS). https://doi.org/10.1109/IEMBS.2005.1615483