Fatigue is one of the most common symptoms in individuals with Parkinson's Disease (PD). Past researches indicated that more than half of the individuals with PD demonstrated fatigue symptom. The severity of fatigue was also correlated to the quality of life in individuals with PD. Finding the contributions of the central and the peripheral factors to fatigue, building reliable fatigue indexes, and developing an effective training program for individuals with PD are very important. The purpose of this project is to develop non-invasive method to monitor central and peripheral fatigue, to establish Virtual Reality(VR) anti-fatigue ergo cycling training paradigm, and to evaluate the long term training effect in individuals with PD.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
31
To establish a Virtual Reality systems to reduce fatigue of cycling training for PD subjects.
Chang Gung University
Taoyuan, Taiwan
Muscle twitch force
Measure of changes in muscle twitch force by interpolation twitch technique.
Time frame: baseline, 1 week
Muscle voluntary activity level
Measure of changes in muscle voluntary activity level by interpolation twitch technique.
Time frame: Baseline,1 week
Heart rate/Heart rate variability
Measure of changes in Heart rate/Heart rate variability.
Time frame: Baseline,1 week
Borg's rate of perceived exertion
Measure of changes in Borg's rate of perceived exertion.
Time frame: Baseline,1 week
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