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

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1879-1886
Number of pages8
JournalIEICE Transactions on Information and Systems
VolumeE86-D
Issue number9
Publication statusPublished - Sep 2003
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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