1602 BMIを目指した脳内情報の抽出 : 手の運動・イメージ時の脳波律動解析による左右判別(口頭講演,トピックスセッション:知能機械に人間の高次脳機能の知見を積極的に活用,融合した新分野を切り拓く研究・技術(1))

概要

論文の詳細を見る
Noninvasive electroencephalogram (EEG)-based brain-machine interface (BMI) provides a new communication channel to replace an impaired motor function of patients. EEG recordings during right and left motor hand imageries are expected to be available to move a cursor on a computer screen or to move a wheelchair. In the present experiments, visual cues ("right hand" or "left hand") were presented. The subjects were asked to move one of their hands or imagine it when visual cues were presented. First, blinking artifacts were eliminated by using ICA. Secondly, spline Laplacian analysis was applied. Thirdly, the most significant channel, latency, and frequency band were determined for the discrimination based on time-frequency analyses with wavelets. Lastly, in their parameters, trials were discriminated between right and left hand movements or their imageries. The highest percent correct of the discrimination in the 5 subjects was over 70%, indicating the presented method may be applicable as a BMI.
一般社団法人日本機械学会の論文
2008-03-17