Coordinated upper limb training assisted with an electromyography (EMG)-driven hand robot after stroke

Xiaoling Hu; K. Y. Tong; X. J. Wei; W. Rong; E. A. Susanto; S. K. Ho

doi:10.1109/EMBC.2013.6610895

Coordinated upper limb training assisted with an electromyography (EMG)-driven hand robot after stroke

Xiaoling Hu, K. Y. Tong, X. J. Wei, W. Rong, E. A. Susanto, S. K. Ho

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

10 Citations (Scopus)

Abstract

An electromyography (EMG)-driven hand robot had been developed for post-stroke rehabilitation training. The effectiveness of the hand robot assisted whole upper limb training on muscular coordination was investigated on persons with chronic stroke (n=10) in this work. All subjects attended a 20-session training (3-5 times/week) by using the hand robot to practice object grasp/release and arm transportation tasks. Improvements were found in the muscle co-ordination between the antagonist muscle pair (flexor digitorum and extensor digitorum) as measured by muscle co-contractions in EMG signals; and also in the reduction of excessive muscle activities in the biceps brachii. Reduced spasticity in the fingers was also observed as measured by the Modified Ashworth Score.

Original language	English
Title of host publication	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Pages	5903-5906
Number of pages	4
DOIs	https://doi.org/10.1109/EMBC.2013.6610895
Publication status	Published - 31 Oct 2013
Event	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan Duration: 3 Jul 2013 → 7 Jul 2013

Conference

Conference	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Country/Territory	Japan
City	Osaka
Period	3/07/13 → 7/07/13

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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10.1109/EMBC.2013.6610895

Cite this

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title = "Coordinated upper limb training assisted with an electromyography (EMG)-driven hand robot after stroke",

abstract = "An electromyography (EMG)-driven hand robot had been developed for post-stroke rehabilitation training. The effectiveness of the hand robot assisted whole upper limb training on muscular coordination was investigated on persons with chronic stroke (n=10) in this work. All subjects attended a 20-session training (3-5 times/week) by using the hand robot to practice object grasp/release and arm transportation tasks. Improvements were found in the muscle co-ordination between the antagonist muscle pair (flexor digitorum and extensor digitorum) as measured by muscle co-contractions in EMG signals; and also in the reduction of excessive muscle activities in the biceps brachii. Reduced spasticity in the fingers was also observed as measured by the Modified Ashworth Score.",

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Hu, X, Tong, KY, Wei, XJ, Rong, W, Susanto, EA & Ho, SK 2013, Coordinated upper limb training assisted with an electromyography (EMG)-driven hand robot after stroke. in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013., 6610895, pp. 5903-5906, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 3/07/13. https://doi.org/10.1109/EMBC.2013.6610895

Coordinated upper limb training assisted with an electromyography (EMG)-driven hand robot after stroke. / Hu, Xiaoling; Tong, K. Y.; Wei, X. J. et al.

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. 2013. p. 5903-5906 6610895.

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

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Coordinated upper limb training assisted with an electromyography (EMG)-driven hand robot after stroke

Abstract

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ASJC Scopus subject areas

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