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.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
TRIPLE
Enrollment
60
Body-worn sensors are mounted on different body segments to acquire joint kinematic data and provide real-time joint feedback during exercise training.
The control group performs similar exercise as intervention without sensors and with no visual feedback from sensors.
University Medical Center
Tucson, Arizona, United States
RECRUITINGPostural Balance
Postural balance is assess at baseline and post-training using body-worn sensors
Time frame: 6 weeks
Gait
Gait is assessed at baseline and post-training using body-worn sensors
Time frame: 6 weeks
Physical Activity
Physical activities of daily living are assessed at baseline and post-training using a T-shirt embedded body-worn sensor (PAMSys)
Time frame: 6 weeks
Functional Performance
Tests, including 3m timed up and go test and alternative step test, are performed. Time is recorded using a stop watch.
Time frame: 6 weeks
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