Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Integrated approach of an artificial neural network and numerical analysis to multiple equivalent current dipole source localization

Integrated approach of an artificial neural network and numerical analysis to multiple equivalent... Frontiers Med. Biol. Engng , Vol. 10, No. 4, pp. 285 – 301 (2001) Ó VSP 2001. Original paper Integrated approach of an artificial neural network and numerical analysis to multiple equivalent current dipole source localization KEN’ICHI KAMIJO 1 , ∗ , TOMOHARU KIYUNA 1 , YOKO TAKAKI 1 , AKIHISA KENMOCHI 2 , TETSUJI TANIGAWA 3 and TOSHIMASA YAMAZAKI 1 1 Fundamental Research Laboratories, NEC Corp., 34, Miyukigaoka, Tsukuba, Ibaraki 305-8501, Japan 2 Personal C&C Development Laboratories, NEC Corp., 1-10, Nisshin-cho, Fuchu, Tokyo 183-8503, Japan 3 Human Media Research Laboratories, NEC Corp., 8916-47, Takayama-cho, Ikoma, Nara 630-0101, Japan Received 28 May 1999; revised 4 January 2000/22 March 2000; accepted 24 March 2000 Abstract —The authors have developed a PC-based multichannel electroencephalogram (EEG) measurement and analysis system. This system enables us (1) to simultaneously record a maximum of 64 channels of EEG data, (2) to measure three-dimensional positions of the recording electrodes, (3) to rapidly and precisely localize equivalent current dipoles (ECDs) responsible for the EEG data, and (4) to superimpose the localization results on magnetic resonance images. A new neural network and numerical analysis (NNN) approach to ECD localization is described which integrates a feedforward artificial neural http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Frontiers of Medical & Biological Engineering Brill

Integrated approach of an artificial neural network and numerical analysis to multiple equivalent current dipole source localization

Download PDF
17 pages

Loading next page...
 
/lp/brill/integrated-approach-of-an-artificial-neural-network-and-numerical-0xSyAoJP97

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Brill
Copyright
© 2000 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
0921-3775
eISSN
1568-5578
DOI
10.1163/156855700750265468
Publisher site
See Article on Publisher Site

Abstract

Frontiers Med. Biol. Engng , Vol. 10, No. 4, pp. 285 – 301 (2001) Ó VSP 2001. Original paper Integrated approach of an artificial neural network and numerical analysis to multiple equivalent current dipole source localization KEN’ICHI KAMIJO 1 , ∗ , TOMOHARU KIYUNA 1 , YOKO TAKAKI 1 , AKIHISA KENMOCHI 2 , TETSUJI TANIGAWA 3 and TOSHIMASA YAMAZAKI 1 1 Fundamental Research Laboratories, NEC Corp., 34, Miyukigaoka, Tsukuba, Ibaraki 305-8501, Japan 2 Personal C&C Development Laboratories, NEC Corp., 1-10, Nisshin-cho, Fuchu, Tokyo 183-8503, Japan 3 Human Media Research Laboratories, NEC Corp., 8916-47, Takayama-cho, Ikoma, Nara 630-0101, Japan Received 28 May 1999; revised 4 January 2000/22 March 2000; accepted 24 March 2000 Abstract —The authors have developed a PC-based multichannel electroencephalogram (EEG) measurement and analysis system. This system enables us (1) to simultaneously record a maximum of 64 channels of EEG data, (2) to measure three-dimensional positions of the recording electrodes, (3) to rapidly and precisely localize equivalent current dipoles (ECDs) responsible for the EEG data, and (4) to superimpose the localization results on magnetic resonance images. A new neural network and numerical analysis (NNN) approach to ECD localization is described which integrates a feedforward artificial neural

Journal

Frontiers of Medical & Biological Engineering – Brill

Published: Jan 1, 2000

Keywords: evoked potentials; event-related potentials; Equivalent current dipole source localization; optimization method; artificial neural network

There are no references for this article.