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Interactive rehabilitation robot for hand function training

M. Chen, S.K. Ho, Hong Zhou, Peter Man Kit Pang, Xiaoling Hu, David Ng, Raymond Kai‐Yu Tong

Year
2009
Citations
25

Abstract

Restoring hand functions may greatly improve the post-stroke life quality. In this work, we developed a new interactive rehabilitation robot for hand function training after stroke. The robotic system can provide three modes of training: (1) continuous passive motion; (2) electromyography (EMG)-triggered motion; and (3) continuous EMG-driven motion to simulate the hand opening, grip and pinch tasks. The system also can quantitatively record finger force, finger positions, and EMG during training tasks.

Keywords

ElectromyographyComputer scienceMotion (physics)RehabilitationWork (physics)Physical medicine and rehabilitationRobotTraining (meteorology)Artificial intelligenceSimulation

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