Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1593
| Title: | A robotic arm design for stroke patients | Authors: | Wang, S Cheng, KWE Ding, K Lin, J Xu, C |
Issue Date: | 2009 | Source: | PESA 2009 : International Conference on Power Electronic Systems and Applications : 20th-22nd May 2009, p. [1-4] | 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. | Keywords: | SEMG signals Robotic arm Stroke patient rehabilitation |
Publisher: | Power Electronics Research Centre, The Hong Kong Polytechnic University | ISBN: | 978-988-17471-3-6 | Rights: | Copyright © The Hong Kong Polytechnic University 2009. |
| Appears in Collections: | Conference Paper |
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|---|---|---|---|---|
| PESA_2009_K210509126.pdf | 856.32 kB | Adobe PDF | View/Open |
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