Sensor-based Balance Training in Diabetes: A Virtual Reality Paradigm
NCT02214329 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60
Last updated 2014-08-12
Summary
Diabetic peripheral neuropathy (DPN) can severely deteriorate balance and gait in patients, thereby increasing risk of fall and injury. The aim of the study is to evaluate the efficacy of a virtual reality game based exercise training for improving postural body sway and gait in diabetes patients with peripheral neuropathy. The exercise training has been specifically designed for DPN patients with lost lower extremity joint perception and uses state-of-the-art inertial sensors (body-worn) to acquire joint movement and provide real-time joint feedback through an interactive interface on a LCD monitor. The investigators hypothesize that tailored exercise with real-time visual joint feedback during exercise will reduce improve balance and gait.
Conditions
Interventions
- DEVICE
-
Sensor-based exercise training
Body-worn sensors are mounted on different body segments to acquire joint kinematic data and provide real-time joint feedback during exercise training.
- OTHER
-
In-home balance training
The control group performs similar exercise as intervention without sensors and with no visual feedback from sensors.
Sponsors & Collaborators
-
Qatar National Research Foundation, Qatar
collaborator UNKNOWN -
University of Arizona
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Masking
- TRIPLE
- Model
- PARALLEL
Eligibility
- Min Age
- 50 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2014-02-28
- Primary Completion
- 2015-08-31
- Completion
- 2015-12-31
Countries
- United States
Study Locations
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