A robotic arm design for stroke patients

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

A robotic arm design for stroke patients

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	2009 3rd International Conference on Power Electronics Systems and Applications, PESA 2009
Publication status	Published - 4 Nov 2009
Event	2009 3rd International Conference on Power Electronics Systems and Applications, PESA 2009 - Hong Kong, Hong Kong Duration: 20 May 2009 → 22 May 2009

Conference

Conference	2009 3rd International Conference on Power Electronics Systems and Applications, PESA 2009
Country/Territory	Hong Kong
City	Hong Kong
Period	20/05/09 → 22/05/09

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

More information

http://hdl.handle.net/10397/1593

Cite this

@inproceedings{12e35f7217c4435d8495ee5bb4024940,

title = "A robotic arm design for stroke patients",

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.",

author = "Shuxiao Wang and Cheng, {Ka Wai Eric} and K. Ding and Jiongkang Lin and Xu, {C. D.}",

year = "2009",

month = nov,

day = "4",

language = "English",

isbn = "9781424438457",

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note = "2009 3rd International Conference on Power Electronics Systems and Applications, PESA 2009 ; Conference date: 20-05-2009 Through 22-05-2009",

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TY - GEN

T1 - A robotic arm design for stroke patients

AU - Wang, Shuxiao

AU - Cheng, Ka Wai Eric

AU - Ding, K.

AU - Lin, Jiongkang

AU - Xu, C. D.

PY - 2009/11/4

Y1 - 2009/11/4

N2 - 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.

AB - 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.

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M3 - Conference article published in proceeding or book

SN - 9781424438457

BT - 2009 3rd International Conference on Power Electronics Systems and Applications, PESA 2009

T2 - 2009 3rd International Conference on Power Electronics Systems and Applications, PESA 2009

Y2 - 20 May 2009 through 22 May 2009

ER -

A robotic arm design for stroke patients

Abstract

Conference

ASJC Scopus subject areas

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