Tong K Y, Ho S K, Pang P K, Hu X L, Tam W K, Fung K L, Wei X J, Chen P N, Chen M
Department of Health Technology and informatics, The Hong Kong Polytechnic University, China, SAR.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:3406-9. doi: 10.1109/IEMBS.2010.5627930.
A novel design of a hand functions task training robotic system was developed for the stroke rehabilitation. It detects the intention of hand opening or hand closing from the stroke person using the electromyography (EMG) signals measured from the hemiplegic side. This training system consists of an embedded controller and a robotic hand module. Each hand robot has 5 individual finger assemblies capable to drive 2 degrees of freedom (DOFs) of each finger at the same time. Powered by the linear actuator, the finger assembly achieves 55 degree range of motion (ROM) at the metacarpophalangeal (MCP) joint and 65 degree range of motion (ROM) at the proximal interphalangeal (PIP) joint. Each finger assembly can also be adjusted to fit for different finger length. With this task training system, stroke subject can open and close their impaired hand using their own intention to carry out some of the daily living tasks.
为中风康复开发了一种新型的手部功能任务训练机器人系统设计。它通过测量偏瘫侧的肌电图(EMG)信号来检测中风患者手部张开或闭合的意图。该训练系统由一个嵌入式控制器和一个机器人手部模块组成。每个手部机器人有5个独立的手指组件,能够同时驱动每个手指的2个自由度(DOF)。由线性致动器驱动,手指组件在掌指(MCP)关节处实现55度的运动范围(ROM),在近端指间(PIP)关节处实现65度的运动范围(ROM)。每个手指组件也可以进行调整,以适应不同的手指长度。通过这个任务训练系统,中风患者可以根据自己的意图张开和闭合受损的手,以完成一些日常生活任务。