TY - JOUR AU - Li, Chuanjiang AU - Ren, Jian AU - Huang, Huaiqi AU - Wang, Bin AU - Zhu, Yanfei AU - Hu, Huosheng PY - 2018 DA - 2018/08/06 TI - PCA and deep learning based myoelectric grasping control of a prosthetic hand JO - BioMedical Engineering OnLine SP - 107 VL - 17 IS - 1 AB - For the functional control of prosthetic hand, it is insufficient to obtain only the motion pattern information. As far as practicality is concerned, the control of the prosthetic hand force is indispensable. The application value of prosthetic hand will be greatly improved if the stable grip of prosthetic hand can be achieved. To address this problem, in this study, a bio-signal control method for grasping control of a prosthetic hand is proposed to improve patient’s sense of using prosthetic hand and the thus improving the quality of life. SN - 1475-925X UR - https://doi.org/10.1186/s12938-018-0539-8 DO - 10.1186/s12938-018-0539-8 ID - Li2018 ER -