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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huang, Y.Y. Low, K.H. Lim, H.B. |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798 (Huang, Y.Y.; Low, K.H.; Lim, H.B.) |
| Abstract | The objective of this work is to study the EMG signals based on hand motions for specified tasks, and different gripping conditions so as to identify patterns of EMG signals. This will allow therapists to identify weak muscles of patients with motor weakness, such as spinal cord injury (SCI) and post-stroke and concentrate on rehabilitation activities which can strengthen these specific muscles. At the same time, it is hoped that the analysis is able to provide useful data for objective and quantitative assessment towards control applications on the hand rehabilitation device, which is being developed. The analysis of the EMG signals for various hand muscles during functional motions and prehensile tasks has been carried out. The method to identify individual hand motions from EMG signals is described. The EMG signals associated to physical parameters are also illustrated in this paper. Finally, the preliminary works and future research are concluded. |
| Starting Page | 530 |
| Ending Page | 535 |
| File Size | 348354 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424426782 |
| DOI | 10.1109/ROBIO.2009.4913058 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-02-22 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal analysis Electromyography Muscles Rehabilitation robotics Signal processing Medical treatment Exoskeletons Robot sensing systems Motion analysis Spinal cord injury prehensile tasks EMG hand rehabilitation |
| Content Type | Text |
| Resource Type | Article |
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