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Construction of an Electroencephalogram-Based Brain-Computer Interface Using an Artificial Neural Network
http://hdl.handle.net/2237/15000
http://hdl.handle.net/2237/15000cbfadc94-b65f-4abd-a880-1e38a71dffa3
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
476.pdf (2.2 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2011-06-30 | |||||
| タイトル | ||||||
| タイトル | Construction of an Electroencephalogram-Based Brain-Computer Interface Using an Artificial Neural Network | |||||
| 言語 | en | |||||
| 著者 |
LIU, Xicheng
× LIU, Xicheng× HIBINO, Shin× HANAI, Taizo× IMANISHI, Toshiaki× SHIRATAKI, Tatsuaki× OGAWA, Tetsuo× HONDA, Hiroyuki× KOBAYASHI, Takeshi |
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| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 権利 | ||||||
| 言語 | en | |||||
| 権利情報 | Copyright (C) 2003 IEICE | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | electroencephalogram | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | event-related desynchronization | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | artificial neural network | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | brain-computer interface | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | fast Fourier transform | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | 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. | |||||
| 言語 | en | |||||
| 出版者 | ||||||
| 出版者 | Institute of Electronics, Information and Communication Engineers | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
| タイプ | journal article | |||||
| 出版タイプ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| ISSN | ||||||
| 収録物識別子タイプ | PISSN | |||||
| 収録物識別子 | 0916-8532 | |||||
| 書誌情報 |
en : IEICE transactions on information and systems 巻 E86-D, 号 9, p. 1879-1886, 発行日 2003-09-01 |
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| 著者版フラグ | ||||||
| 値 | publisher | |||||
| URI | ||||||
| 識別子 | http://hdl.handle.net/2237/15000 | |||||
| 識別子タイプ | HDL | |||||
