Interactive rehabilitation robot for hand function training

M. Chen; S. K. Ho; H. F. Zhou; P. M.K. Pang; Xiaoling Hu; D. T.W. Ng; K. Y. Tong

doi:10.1109/ICORR.2009.5209564

Interactive rehabilitation robot for hand function training

M. Chen, S. K. Ho, H. F. Zhou, P. M.K. Pang, Xiaoling Hu, D. T.W. Ng, K. Y. Tong

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

18 Citations (Scopus)

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.

Original language	English
Title of host publication	2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009
Pages	777-780
Number of pages	4
DOIs	https://doi.org/10.1109/ICORR.2009.5209564
Publication status	Published - 17 Nov 2009
Event	2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009 - Kyoto, Japan Duration: 23 Jun 2009 → 26 Jun 2009

Conference

Conference	2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009
Country/Territory	Japan
City	Kyoto
Period	23/06/09 → 26/06/09

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1109/ICORR.2009.5209564

Cite this

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title = "Interactive rehabilitation robot for hand function training",

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.",

author = "M. Chen and Ho, {S. K.} and Zhou, {H. F.} and Pang, {P. M.K.} and Xiaoling Hu and Ng, {D. T.W.} and Tong, {K. Y.}",

year = "2009",

month = nov,

day = "17",

doi = "10.1109/ICORR.2009.5209564",

language = "English",

isbn = "9781424437894",

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booktitle = "2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009",

note = "2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009 ; Conference date: 23-06-2009 Through 26-06-2009",

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Chen, M, Ho, SK, Zhou, HF, Pang, PMK, Hu, X, Ng, DTW & Tong, KY 2009, Interactive rehabilitation robot for hand function training. in 2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009., 5209564, pp. 777-780, 2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009, Kyoto, Japan, 23/06/09. https://doi.org/10.1109/ICORR.2009.5209564

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AU - Ho, S. K.

AU - Zhou, H. F.

AU - Pang, P. M.K.

AU - Hu, Xiaoling

AU - Ng, D. T.W.

AU - Tong, K. Y.

PY - 2009/11/17

Y1 - 2009/11/17

N2 - 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.

AB - 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.

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M3 - Conference article published in proceeding or book

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BT - 2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009

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ER -

Interactive rehabilitation robot for hand function training

Abstract

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ASJC Scopus subject areas

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