The static relationship between elbow joint angle and torque at constant IEMGs was investigated with an aid of artificial neural network technique. Normal volunteer was allowed to move his upper extremity freely on a horizontal plane, and was instructed to maintain his forearm posture at a target position against an external load applied to his wrist. Firstly, seven channel IEMGs, joint angles and torques around elbow and shoulder were measured. Secondly, the neural network model was constructed; inputs were IEMGs and joint angles, outputs were torques. Finally, elbow torque was estimated at various elbow angle with constant IEMGs by using the model. The torque of extensor muscles monotonically increased as flexion of an elbow joint. This characteristic was similar to that of monkey's triceps brachii. However the torque of flexor muscles increased and then decreased as extension of an elbow joint. This characteristic does not agree with the fundamental property of equilibrium point hypothesis.
|ジャーナル||Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings|
|出版ステータス||Published - 1996 12 1|
|イベント||Proceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 5) - Amsterdam, Neth|
継続期間: 1996 10 31 → 1996 11 3
ASJC Scopus subject areas
- コンピュータ ビジョンおよびパターン認識