Evoked potentials estimation by using higher order adaptive neural network filter

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

doi:10.1109/IEMBS.2005.1616622

Evoked potentials estimation by using higher order adaptive neural network 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

Evoked potentials are usually embedded in the ongoing electroencephalogram with a very low signal-to-noise ratio. The neural network filtering technique which has the advantage of complex mapping is one of the applicable methods for evoked potentials estimation. The back-propagation algorithm based on second order statistics is commonly used to adapt neural network filters. However it is easily influenced by additive Gaussian noise. In this study, a neural network filter with a modified back-propagation algorithm for higher order statistics was proposed. With higher-order statistics technique, additive Gaussian noise is suppressed to improve the performance of evoked potentials estimation.

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	1139-1141
Number of pages	3
DOIs	https://doi.org/10.1109/IEMBS.2005.1616622
State	Published - 1 Dec 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

Back-propagation algorithm
Evoked potentials
Higher order statistics
Neural network filter

Access to Document

10.1109/IEMBS.2005.1616622

Cite this

Lin, B-S., Lin, B. S., & Chong, F. C. (2005). Evoked potentials estimation by using higher order adaptive neural network filter. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 1139-1141). Article 1616622 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS). https://doi.org/10.1109/IEMBS.2005.1616622

Lin, Bor-Shyh ; Lin, Bor Shing ; Chong, Fok Ching. / Evoked potentials estimation by using higher order adaptive neural network filter. Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. pp. 1139-1141 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

@inproceedings{2a9f0a285ed84e76a17e9ba643b67137,

title = "Evoked potentials estimation by using higher order adaptive neural network filter",

abstract = "Evoked potentials are usually embedded in the ongoing electroencephalogram with a very low signal-to-noise ratio. The neural network filtering technique which has the advantage of complex mapping is one of the applicable methods for evoked potentials estimation. The back-propagation algorithm based on second order statistics is commonly used to adapt neural network filters. However it is easily influenced by additive Gaussian noise. In this study, a neural network filter with a modified back-propagation algorithm for higher order statistics was proposed. With higher-order statistics technique, additive Gaussian noise is suppressed to improve the performance of evoked potentials estimation.",

keywords = "Back-propagation algorithm, Evoked potentials, Higher order statistics, Neural network filter",

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

year = "2005",

month = dec,

day = "1",

doi = "10.1109/IEMBS.2005.1616622",

language = "English",

isbn = "0780387406",

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

pages = "1139--1141",

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, Evoked potentials estimation by using higher order adaptive neural network filter. in Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005., 1616622, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 7 VOLS, pp. 1139-1141, 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.2005.1616622

Evoked potentials estimation by using higher order adaptive neural network 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. 1139-1141 1616622 (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 - Evoked potentials estimation by using higher order adaptive neural network filter

AU - Lin, Bor-Shyh

AU - Lin, Bor Shing

AU - Chong, Fok Ching

PY - 2005/12/1

Y1 - 2005/12/1

N2 - Evoked potentials are usually embedded in the ongoing electroencephalogram with a very low signal-to-noise ratio. The neural network filtering technique which has the advantage of complex mapping is one of the applicable methods for evoked potentials estimation. The back-propagation algorithm based on second order statistics is commonly used to adapt neural network filters. However it is easily influenced by additive Gaussian noise. In this study, a neural network filter with a modified back-propagation algorithm for higher order statistics was proposed. With higher-order statistics technique, additive Gaussian noise is suppressed to improve the performance of evoked potentials estimation.

AB - Evoked potentials are usually embedded in the ongoing electroencephalogram with a very low signal-to-noise ratio. The neural network filtering technique which has the advantage of complex mapping is one of the applicable methods for evoked potentials estimation. The back-propagation algorithm based on second order statistics is commonly used to adapt neural network filters. However it is easily influenced by additive Gaussian noise. In this study, a neural network filter with a modified back-propagation algorithm for higher order statistics was proposed. With higher-order statistics technique, additive Gaussian noise is suppressed to improve the performance of evoked potentials estimation.

KW - Back-propagation algorithm

KW - Evoked potentials

KW - Higher order statistics

KW - Neural network filter

UR - http://www.scopus.com/inward/record.url?scp=33846929166&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2005.1616622

DO - 10.1109/IEMBS.2005.1616622

M3 - Conference contribution

AN - SCOPUS:33846929166

SN - 0780387406

SN - 9780780387409

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

SP - 1139

EP - 1141

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 B-S, Lin BS, Chong FC. Evoked potentials estimation by using higher order adaptive neural network filter. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. p. 1139-1141. 1616622. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/IEMBS.2005.1616622

Evoked potentials estimation by using higher order adaptive neural network filter

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this