Sensor-based Balance Training in Diabetes: A Virtual Reality Paradigm
Game-Based Virtual Reality Approach for Improving Balance, Reducing Falls, and Preventing Complications In Diabetes
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Arizona
-
Tucson, Arizona, United States, 85724
- Recruiting
- University Medical Center
-
Contact:
- David G Armstrong, DPM, MD, PhD
- Phone Number: 520-626-1349
- Email: dga@email.arizona.edu
-
Contact:
- Bijan Najafi, PhD
- Phone Number: 520 626 7097
- Email: bnajafi@surgery.arizona.edu
-
Principal Investigator:
- David G Armstrong, DPM, MD, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Diabetic peripheral neuropathy
- Age > 50 (Men or Women)
- Able to walk 60 feet
Exclusion Criteria:
- Major lower extremity amputation
- Cognitive deficits (MMSE 24 or below)
- Severely impaired vision
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Sensor-based exercise training
The intervention group receives sensor-based balance training with real-time joint feedback through an interactive interface on LC monitor screen.
|
Body-worn sensors are mounted on different body segments to acquire joint kinematic data and provide real-time joint feedback during exercise training.
|
|
Active Comparator: In-home balance training
The control group performs similar exercise as intervention group at home without use of sensor or any joint feedback from sensor data.
|
The control group performs similar exercise as intervention without sensors and with no visual feedback from sensors.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Postural Balance
Time Frame: 6 weeks
|
Postural balance is assess at baseline and post-training using body-worn sensors
|
6 weeks
|
|
Gait
Time Frame: 6 weeks
|
Gait is assessed at baseline and post-training using body-worn sensors
|
6 weeks
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Physical Activity
Time Frame: 6 weeks
|
Physical activities of daily living are assessed at baseline and post-training using a T-shirt embedded body-worn sensor (PAMSys)
|
6 weeks
|
|
Functional Performance
Time Frame: 6 weeks
|
Tests, including 3m timed up and go test and alternative step test, are performed.
Time is recorded using a stop watch.
|
6 weeks
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 1100000467
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