Accuracy of Single Dipole Source Localization by BP Neural Networks from 18-Channel EEGs (Medical Engineering)
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概要
- 論文の詳細を見る
A problem of estimating biopotential sources in the brain based on EEG signals observed on the scalp is known as an important inverse problem of electrophysiology. Usually there is no closed-form solution for this problem and it requires iterative techniques such as the Levenberg-Marquardt algorithm. Considering the nonlinear properties of inverse problem, and signal to noise ratio inherent in EEG signals, a back propagation neural network has been recently proposed as a solution. In this paper, we investigated the properties of neural networks and its localization accuracy for single dipole source localization. Based on the results of extensive studies, we concluded the neural networks are highly feasible in single-source localization with a small number of electrodes (18 electrodes), also examined the usefulness of this method for clinical application with a case of epilepsy.
- 社団法人電子情報通信学会の論文
- 2003-08-01
著者
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Kinouchi Y
Univ. Tokushima Tokushima‐shi Jpn
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Kinouchi Yohsuke
徳島大学
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Kinouchi Yohsuke
The University Of Tokushima
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KINOUCHI Yohsuke
Faculty of Engineering, Department of Electrical and Electronic Engineering, The University of Tokus
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Zhang Q
Harbin Institute Of Technology
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Zhang Qinyu
Department Of Electrical And Electronic Engineering The University Of Tokushima
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ZHANG Qinyu
Faculty of Engineering, The University of Tokushima
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NAGASHINO Hirofumi
Faculty of Engineering, The University of Tokushima
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Kinouchi Yohsuke
徳島大学医学部
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Nagashino H
Faculty Of Engineering The University Of Tokushima
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Kinouchi Yohsuke
Faculty Of Engineering Department Of Electrical And Electronic Engineering The University Of Tokushi
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Zhang QY
Faculty of Engineering, The University of Tokushima
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Kinouchi Y
Faculty of Engineering, The University of Tokushima
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