NCT02214329

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

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 60 (estimated)
• Sponsor: University of Arizona · Academic / Other
• Sex: All
• Age: 50 Years – 80 Years
• Healthy volunteers: Not accepted

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.

Detailed description

The game includes a series of ankle reaching tasks and crossing of virtual obstacles on the monitor screen; these exercises are aimed to improve weight shifting capabilities and medial-lateral movement of body.

Conditions

• Diabetes

Interventions

Type	Name	Description
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.

Timeline

• Start date: 2014-02-01
• Primary completion: 2015-08-01
• Completion: 2015-12-01
• First posted: 2014-08-12
• Last updated: 2014-08-12

Locations

1 site across 1 country: United States