Year

2017

Degree Name

Doctor of Philosophy

Department

School of Electrical, Computer and Telecommunications Engineering

Abstract

Stroke is the third leading contributing factor for long-term disability in most countries, and can result in paralysis, speech impairment, memory loss and cognition impairment, coma or even death. Robot-assisted Therapy (RT) is regarded as an effective and reliable method for the delivery of highly repetitive training that is needed to trigger neuroplasticity following a stroke. Compared with conventional rehabilitation therapy, RT holds clear advantages such as precisely controlled forcefeedback, automated movement control, objective and quantifiable measure of performance.

FoR codes (2008)

0906 ELECTRICAL AND ELECTRONIC ENGINEERING

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Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.