手指リハビリテーションロボットのための前腕部筋電位からのリアルタイム屈曲・伸展動作意図抽出手法に関する研究

抄録

We are developing a hand rehabilitation robot for post-stroke patients. To control the robot according to the human motion intention, we introduce a real-time classification method to extract motion intention of hand flexion and extension out of forearm EMG signals, that is known to have cross talk between each other during hand motion.