Classification of Finger Movements for Prosthesis Control with Surface Electromyography

• Published in: Sensors and materials Vol. 32; no. 4; p. 1523
• Main Authors: Zhang, Zhen, Yu, Xuelian, Qian, Jinwu
• Format: Journal Article
• Language: English
• Published: Tokyo MYU Scientific Publishing Division 30.04.2020
• Subjects: Accuracy; Artificial neural networks; Channels; Classification; Electromyography; Feature extraction; Pattern recognition; Prostheses; Rehabilitation; Robotics

Surface electromyography (sEMG) signals can be used in the medical, rehabilitation, robotics, a nd i ndustrial f ields. I n t his p aper, w e a ssess a method of classifying finger movements for dexterous prosthetic hand control. The sEMG signals from five volunteers are recorded, and then pattern r...