2024-03-28T18:06:40Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00013105
2023-01-16T03:59:41Z
320:321:322
Construction of an Electroencephalogram-Based Brain-Computer Interface Using an Artificial Neural Network
LIU, Xicheng
HIBINO, Shin
HANAI, Taizo
IMANISHI, Toshiaki
SHIRATAKI, Tatsuaki
OGAWA, Tetsuo
HONDA, Hiroyuki
KOBAYASHI, Takeshi
open access
Copyright (C) 2003 IEICE
electroencephalogram
event-related desynchronization
artificial neural network
brain-computer interface
fast Fourier transform
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 α 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.
Institute of Electronics, Information and Communication Engineers
2003-09-01
eng
journal article
VoR
http://hdl.handle.net/2237/15000
https://nagoya.repo.nii.ac.jp/records/13105
0916-8532
IEICE transactions on information and systems
E86-D
9
1879
1886
https://nagoya.repo.nii.ac.jp/record/13105/files/476.pdf
application/pdf
2.2 MB
2018-02-20