筋電義手コントローラの自動調整法の堅牢性因子のパラメータ設計

抄録

Adjusting myoelectric sensor sensitivity of a myoelectric hand controller requires experience and knowledge. Malfunctions due to inadequate sensitivity adjustment can reduce the reliability of the prosthetic hand and induce interruption of its use in daily life. Therefore, the objective of this research is to develop an automatic sensitivity adjustment function. RT method is applied to accomplish resistance to disturbances with efficient open/close discrimination to the muscle activity level. Therefore, in this paper, we designed a myoelectric prosthetic hand controller with Robust Parameter Design. By selecting 7 control factors’ level combination, confirmation test results showed that the open-operation system had a signal-to-noise ratio of +25.9 % and a sensitivity of -16.2 %, indicating reproducibility of the optimum conditions. Similarly, the closed operating system had a signal-to-noise ratio of +88.2 % and a sensitivity of -32.6 %, which did not support the reproductivity of the optimum condition. However, the optimal condition of the closed operating system had better signal-to-noise ratio 12.8 db over the comparison condition.