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

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

doi:10.1109/IEMBS.2005.1615483

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

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

Institute of Imaging and Biomedical Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages	4557-4559
Number of pages	3
DOIs	https://doi.org/10.1109/IEMBS.2005.1615483
State	Published - 2005
Event	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China Duration: 1 Sep 2005 → 4 Sep 2005

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	7 VOLS
ISSN (Print)	0589-1019

Conference

Conference	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/Territory	China
City	Shanghai
Period	1/09/05 → 4/09/05

Keywords

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

Access to Document

10.1109/IEMBS.2005.1615483

Cite this

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). Article 1615483 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS). https://doi.org/10.1109/IEMBS.2005.1615483

Lin, Bor-Shyh ; Lin, Bor Shing ; Chong, Fok Ching. / Power-line interference removal of bioelectric signal measurement by using genetic adaptive filter. Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. pp. 4557-4559 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

@inproceedings{ceadaba581e54eb0bac518690c4b8c1b,

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.",

keywords = "Adaptive filter, Genetic algorithm, Least-mean square algorithm, Power-line interference",

author = "Bor-Shyh Lin and Lin, {Bor Shing} and Chong, {Fok Ching}",

year = "2005",

doi = "10.1109/IEMBS.2005.1615483",

language = "English",

isbn = "0780387406",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

pages = "4557--4559",

booktitle = "Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005",

note = "2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 ; Conference date: 01-09-2005 Through 04-09-2005",

}

Lin, B-S, Lin, BS & Chong, FC 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., 1615483, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 7 VOLS, pp. 4557-4559, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, China, 1/09/05. https://doi.org/10.1109/IEMBS.2005.1615483

Power-line interference removal of bioelectric signal measurement by using genetic adaptive filter. / Lin, Bor-Shyh; Lin, Bor Shing; Chong, Fok Ching.
Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. p. 4557-4559 1615483 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Power-line interference removal of bioelectric signal measurement by using genetic adaptive filter

AU - Lin, Bor-Shyh

AU - Lin, Bor Shing

AU - Chong, Fok Ching

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Adaptive filter

KW - Genetic algorithm

KW - Least-mean square algorithm

KW - Power-line interference

UR - http://www.scopus.com/inward/record.url?scp=33846898276&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2005.1615483

DO - 10.1109/IEMBS.2005.1615483

M3 - Conference contribution

AN - SCOPUS:33846898276

SN - 0780387406

SN - 9780780387409

T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

SP - 4557

EP - 4559

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

T2 - 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

Y2 - 1 September 2005 through 4 September 2005

ER -

Lin BS, Lin BS, Chong FC. 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. 2005. p. 4557-4559. 1615483. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/IEMBS.2005.1615483

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this