文献类型：期刊文献

英文题名：Simulation System of Upper-limb Rehabilitation Training Exoskeleton Controlled by Mechanomyography Signals

作者：Zhang, Yue[1]; Zhao, Tongtong[1]; Zhang, Hanyang[1]; Cao, Gangsheng[1]; Xia, Chunming[1,2]

机构：[1] East China University of Science and Technology, Department of Mechanical Engineering, Shanghai, China; [2] School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China

年份：2022

起止页码：315

外文期刊名：IEEE 6th Information Technology and Mechatronics Engineering Conference, ITOEC 2022

收录：EI(收录号：20221511946928)

语种：英文

外文关键词：Degrees of freedom (mechanics) - Neuromuscular rehabilitation - Exoskeleton (Robotics) - Biomedical signal processing

摘要：A novel simulation system of upper-limb rehabilitation training exoskeleton controlled by pattern recognition of mechanomyography (MMG) signals is developed in this study. Aiming at the upper-limb rehabilitation training of hemiplegia patients, this system is divided into two parts: one part includes 3 classes of shoulder and elbow movements, and another part includes 6 classes of wrist movements. After collecting multi-channel MMG for upper-limb movements and designing a 7 degrees of freedom (DoF) upper-limb exoskeleton model, the system can generate instructions to control the exoskeleton to assist the patients to do upper-limb (hemiplegia) rehabilitation training according to the pattern recognition results of upper-limb (normal side) movements. The simulation system makes that is possible to assist hemiplegia patients to do passive training for upper-limbs according to the pattern recognition of upper limb movements based on MMG, and the bilateral movements are more benefit to rehabilitation from a medical standpoint. ? 2022 IEEE.