EEG source localization for two dipoles by neural networks

Motohiro Yuasa; Qinyu Zhang; Hirofumi Nagashino; Yohsuke Kinouchi

EEG source localization for two dipoles by neural networks

Motohiro Yuasa^*
, Qinyu Zhang
, Hirofumi Nagashino
, Yohsuke Kinouchi

^*Corresponding author for this work

Tokushima University

Research output: Contribution to journal › Conference article › peer-review

11 Scopus citations

Abstract

It is reported that neural networks are useful for solving physiological inverse problems such as EEG and MEG source localizations, where a single dipole source is localized in terms of position and direction. This method is developed here to localize two independent sources from EEG. To improve localization accuracy, 36 electrodes for EEG measurement are used and two dipole sources are assumed to be in each restricted region of the brain. As a result, localization accuracy has been about 3 to 9% depending on the region restrictions, which may be useful for real time epileptic diagnoses.

Original language	English
Pages (from-to)	2190-2192
Number of pages	3
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	4
State	Published - 1998
Externally published	Yes
Event	Proceedings of the 1998 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 6) - Hong Kong, China Duration: 29 Oct 1998 → 1 Nov 1998

Cite this

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title = "EEG source localization for two dipoles by neural networks",

abstract = "It is reported that neural networks are useful for solving physiological inverse problems such as EEG and MEG source localizations, where a single dipole source is localized in terms of position and direction. This method is developed here to localize two independent sources from EEG. To improve localization accuracy, 36 electrodes for EEG measurement are used and two dipole sources are assumed to be in each restricted region of the brain. As a result, localization accuracy has been about 3 to 9\% depending on the region restrictions, which may be useful for real time epileptic diagnoses.",

author = "Motohiro Yuasa and Qinyu Zhang and Hirofumi Nagashino and Yohsuke Kinouchi",

year = "1998",

language = "英语",

volume = "4",

pages = "2190--2192",

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

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1998 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 6) ; Conference date: 29-10-1998 Through 01-11-1998",

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T1 - EEG source localization for two dipoles by neural networks

AU - Yuasa, Motohiro

AU - Zhang, Qinyu

AU - Nagashino, Hirofumi

AU - Kinouchi, Yohsuke

PY - 1998

Y1 - 1998

N2 - It is reported that neural networks are useful for solving physiological inverse problems such as EEG and MEG source localizations, where a single dipole source is localized in terms of position and direction. This method is developed here to localize two independent sources from EEG. To improve localization accuracy, 36 electrodes for EEG measurement are used and two dipole sources are assumed to be in each restricted region of the brain. As a result, localization accuracy has been about 3 to 9% depending on the region restrictions, which may be useful for real time epileptic diagnoses.

AB - It is reported that neural networks are useful for solving physiological inverse problems such as EEG and MEG source localizations, where a single dipole source is localized in terms of position and direction. This method is developed here to localize two independent sources from EEG. To improve localization accuracy, 36 electrodes for EEG measurement are used and two dipole sources are assumed to be in each restricted region of the brain. As a result, localization accuracy has been about 3 to 9% depending on the region restrictions, which may be useful for real time epileptic diagnoses.

UR - https://www.scopus.com/pages/publications/0032257806

M3 - 会议文章

AN - SCOPUS:0032257806

SN - 0589-1019

VL - 4

SP - 2190

EP - 2192

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

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

T2 - Proceedings of the 1998 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 6)

Y2 - 29 October 1998 through 1 November 1998

ER -

EEG source localization for two dipoles by neural networks

Abstract

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