Shoulder rehabilitation with biofeedback simulation

Aung, YM; Al-Jumaily, A

Shoulder rehabilitation with biofeedback simulation

Aung, YM Al-Jumaily, A

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Publication Type:: Conference Proceeding
Citation:: 2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012, 2012, pp. 974 - 979
Issue Date:: 2012-10-23

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Field	Value	Language
dc.contributor.author	Aung, YM	en_US
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.date.issued	2012-10-23	en_US
dc.identifier.citation	2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012, 2012, pp. 974 - 979	en_US
dc.identifier.isbn	9781467312776	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22394
dc.description.abstract	More than 62,000 Australians were suffered from Traumatic Brain Injury, Spinal Cord Injury and stroke in 2011. The results of such injuries lead to physical disabilities that yield to prohibiting from performing a person's daily life activities and reduce the quality of life. Moreover, the cost of such affects is almost AUD 13 billion per annum in health care sector. To overcome such situation, rehabilitation is essential for recovery to return to normal life. This paper presents the development of an effective shoulder rehabilitation system with motivational approach. Our development aims to reduce the one-to-one patient-therapist treatment relation contact, make it less regular consultation, and reduce high health care cost. The system is made up of two modules: rehabilitation exercises module where rehabilitation exercises are developed and real-time biofeedback simulation module that detect the active muscle in real time based on sEMG threshold which is predefined by therapist. Four rehabilitation exercises are developed and integrated with biofeedback system. The effectiveness of proposed system has been evaluated through testing with ten subjects and got high performance. The system has demonstrated in Port Kembla Rehabilitation Hospital. © 2012 IEEE.	en_US
dc.relation.ispartof	2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012	en_US
dc.relation.isbasedon	10.1109/ICMA.2012.6283382	en_US
dc.title	Shoulder rehabilitation with biofeedback simulation	en_US
dc.type	Conference Proceeding
utslib.for	090305 Rehabilitation Engineering	en_US
dc.location.activity	Chengdu	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

More than 62,000 Australians were suffered from Traumatic Brain Injury, Spinal Cord Injury and stroke in 2011. The results of such injuries lead to physical disabilities that yield to prohibiting from performing a person's daily life activities and reduce the quality of life. Moreover, the cost of such affects is almost AUD 13 billion per annum in health care sector. To overcome such situation, rehabilitation is essential for recovery to return to normal life. This paper presents the development of an effective shoulder rehabilitation system with motivational approach. Our development aims to reduce the one-to-one patient-therapist treatment relation contact, make it less regular consultation, and reduce high health care cost. The system is made up of two modules: rehabilitation exercises module where rehabilitation exercises are developed and real-time biofeedback simulation module that detect the active muscle in real time based on sEMG threshold which is predefined by therapist. Four rehabilitation exercises are developed and integrated with biofeedback system. The effectiveness of proposed system has been evaluated through testing with ten subjects and got high performance. The system has demonstrated in Port Kembla Rehabilitation Hospital. © 2012 IEEE.

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http://hdl.handle.net/10453/22394