- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02017938
Establishing the Central and Peripheral Fatigue Indexes and VR Based Anti-fatigue Training Paradigm for Individuals With Parkinson Disease
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 Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Taoyuan, Taiwan, 333
- Chang Gung University
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
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 Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Stage 1: Health group
To establish non-invasive fatigue monitoring method via testing healthy individuals.
|
|
|
Experimental: Stage 2: PD group
To find the optimal feedback variables for anti-fatigue training on individuals with PD.
|
To establish a Virtual Reality systems to reduce fatigue of cycling training for PD subjects.
|
|
Experimental: Stage 2: Health group
Stage 2 controlled group
|
To establish a Virtual Reality systems to reduce fatigue of cycling training for PD subjects.
|
|
Experimental: Stage 3: PD group
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.
|
To establish a Virtual Reality systems to reduce fatigue of cycling training for PD subjects.
|
|
No Intervention: Stage 3: PD controlled group
Stage 3 controlled group
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Muscle twitch force
Time Frame: baseline, 1 week
|
Measure of changes in muscle twitch force by interpolation twitch technique.
|
baseline, 1 week
|
|
Muscle voluntary activity level
Time Frame: Baseline,1 week
|
Measure of changes in muscle voluntary activity level by interpolation twitch technique.
|
Baseline,1 week
|
|
Heart rate/Heart rate variability
Time Frame: Baseline,1 week
|
Measure of changes in Heart rate/Heart rate variability.
|
Baseline,1 week
|
|
Borg's rate of perceived exertion
Time Frame: Baseline,1 week
|
Measure of changes in Borg's rate of perceived exertion.
|
Baseline,1 week
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 101-5141B
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.