Establishing the Central and Peripheral Fatigue Indexes and VR Based Anti-fatigue Training Paradigm for Individuals With Parkinson Disease

Not Applicable

Completed

• Conditions: Parkinson's Disease (PD)
• Interventions: Procedure: Virtual Reality anti-fatigue ergo cycling training (Self-made)

• Registration Number: NCT02017938
• Lead Sponsor: Chang Gung University

Brief Summary

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.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2013-12-17
• Study First Submitted QC: 2013-12-17
• Study First Posted: 2013-12-23
• Study Start: 2014-12-10
• Primary Completion: 2015-07-30
• Study Completion: 2016-07-31
• Status Verified: 2024-03
• Last Update Submitted: 2024-03-28
• Last Update Posted: 2024-04-01

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 31

Inclusion Criteria

• Clinical diagnosis of Parkinson disease
• Hoehn and Yahr ≦3

Exclusion Criteria

• Musculoskeletal injuries
• Osteoporosis
• Diabetes
• Any peripheral or central nervous system injury or disease patients

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
Stage 2: Health group	Virtual Reality anti-fatigue ergo cycling training (Self-made)	Stage 2 controlled group
Stage 3: PD group	Virtual Reality anti-fatigue ergo cycling training (Self-made)	To evaluate the effect of four weeks of VR anti-fatigue ergo cycling training on various fatigue components and functional abilities in individuals with PD.
Stage 2: PD group	Virtual Reality anti-fatigue ergo cycling training (Self-made)	To find the optimal feedback variables for anti-fatigue training on individuals with PD.

Primary Outcome Measures

Name	Time	Method
Muscle twitch force	baseline, 1 week	Measure of changes in muscle twitch force by interpolation twitch technique.
Muscle voluntary activity level	Baseline,1 week	Measure of changes in muscle voluntary activity level by interpolation twitch technique.
Heart rate/Heart rate variability	Baseline,1 week	Measure of changes in Heart rate/Heart rate variability.
Borg's rate of perceived exertion	Baseline,1 week	Measure of changes in Borg's rate of perceived exertion.

Trial Locations

Locations (1)

Chang Gung University; 🇨🇳 Taoyuan, Taiwan