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An intention driven hand functions task training robotic system

Raymond Kai‐Yu Tong, S.K. Ho, Peter Man Kit Pang, Xiaoling Hu, Wing-kin Tam, Kar-Ming Fung, X.X. Wei, P N Chen, M. Chen

Year
2010
Citations
131

Abstract

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.

Keywords

Computer scienceTask (project management)Interphalangeal JointActuatorClosing (real estate)Finger jointArtificial intelligenceRehabilitationFinger tappingRange of motion

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