A robotic arm design for stroke patients

Shuxiao Wang, Ka Wai Eric Cheng, K. Ding, Jiongkang Lin, C. D. Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2009 3rd International Conference on Power Electronics Systems and Applications, PESA 2009
Publication statusPublished - 4 Nov 2009
Event2009 3rd International Conference on Power Electronics Systems and Applications, PESA 2009 - Hong Kong, Hong Kong
Duration: 20 May 200922 May 2009

Conference

Conference2009 3rd International Conference on Power Electronics Systems and Applications, PESA 2009
Country/TerritoryHong Kong
CityHong Kong
Period20/05/0922/05/09

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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