Construction of an Electroencephalogram-Based Brain-Computer Interface Using an Artificial Neural Network

Xicheng Liu, Shin Hibino, Taizo Hanai, Toshiaki Imanishi, Tatsuaki Shirataki, Tetsuo Ogawa, Hiroyuki Honda, Takeshi Kobayashi

研究成果: ジャーナルへの寄稿学術誌査読

4 被引用数 (Scopus)

抄録

A brain-computer interface using an electroencephalogram as input into an artificial neural network is investigated as a potentially general control system applicable to all subjects and time frames. Using the intent and imagination of bending the left or right elbow, the left and right desired movements are successfully distinguished using event-related desynchronization resolved by fast Fourier transformation of the electroencephalogram and analysis of the power spectrum using the artificial neural network. The influence of age was identified and eliminated through the use of a frequency distribution in the a band, and the recognition rate was further improved by confirmation based on forced excitement of the β band in the case of an error. The proposed system was effectively trained for general use by using the combined data of a cross-section of subjects.

本文言語英語
ページ(範囲)1879-1886
ページ数8
ジャーナルIEICE Transactions on Information and Systems
E86-D
9
出版ステータス出版済み - 9月 2003
外部発表はい

!!!All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学
  • 人工知能

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