title: Power-line Interference Removal of Bioelectric Signal Measurement by using Genetic Adaptive Filter.
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.
authors.affiliation: Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei.
authors.forename: Bor-Shyh
authors.initials: BS
authors.lastname: Lin
authors.forename: Bor-Shing
authors.initials: BS
authors.lastname: Lin
authors.forename: Fok-Ching
authors.initials: FC
authors.lastname: Chong