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.

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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.