Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1593
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical Engineering | - |
| dc.creator | Wang, S | - |
| dc.creator | Cheng, KWE | - |
| dc.creator | Ding, K | - |
| dc.creator | Lin, J | - |
| dc.creator | Xu, C | - |
| dc.date.accessioned | 2014-12-11T08:26:34Z | - |
| dc.date.available | 2014-12-11T08:26:34Z | - |
| dc.identifier.isbn | 978-988-17471-3-6 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/1593 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Power Electronics Research Centre, The Hong Kong Polytechnic University | en_US |
| dc.rights | Copyright © The Hong Kong Polytechnic University 2009. | en_US |
| dc.subject | SEMG signals | en_US |
| dc.subject | Robotic arm | en_US |
| dc.subject | Stroke patient rehabilitation | en_US |
| dc.title | A robotic arm design for stroke patients | en_US |
| dc.type | Conference Paper | en_US |
| dc.description.otherinformation | Author name used in this publication: K. W. E. Cheng | en_US |
| dc.description.otherinformation | Author name used in this publication: K. Ding | en_US |
| dc.description.otherinformation | Author name used in this publication: C. D. Xu | en_US |
| dcterms.abstract | This paper presents a robotic arm for stroke patents. Two SEMG (Surface Electromyography) signals collected from bicipital muscle and triceps muscle of arm, which are used to control robotic arm. When patients want to flexile arm, the SEMG signal of bicipital muscle is larger than that of triceps muscle. On the other hand, when patient want to extend arm, the SEMG signal of triceps muscle is larger than that of bicipital muscle. The robotic arm's rotation direction is decided by the difference of two SEMG signals. The torque and speed of the robotic arm are controlled by the amplitudes of SEMG signals. The system is based DSP (Digital Signal Processor). H-bridge is used to drive DC motor. The experimental results show that the robotic arm can act correctly according to SEMG signals of human arm. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | PESA 2009 : International Conference on Power Electronic Systems and Applications : 20th-22nd May 2009, p. [1-4] | - |
| dcterms.issued | 2009 | - |
| dc.identifier.isi | WOS:000273501600087 | - |
| dc.identifier.scopus | 2-s2.0-70350463966 | - |
| dc.relation.ispartofbook | PESA 2009 : International Conference on Power Electronic Systems and Applications : 20th-22nd May 2009 | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
| dc.description.pubStatus | Published | en_US |
| Appears in Collections: | Conference Paper | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PESA_2009_K210509126.pdf | 856.32 kB | Adobe PDF | View/Open |
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