Effects of community-based virtual reality treadmill training on balance ability in patients with chronic stroke
- PMID: 25931701
- PMCID: PMC4395685
- DOI: 10.1589/jpts.27.655
Effects of community-based virtual reality treadmill training on balance ability in patients with chronic stroke
Abstract
[Purpose] We aimed to examine the effectiveness of a community-based virtual reality treadmill training (CVRTT) program on static balance abilities in patients with stroke. [Subjects and Methods] Patients (n = 20) who suffered a stroke at least 6 months prior to the study were recruited. All subjects underwent conventional physical therapy for 60 min/day, 5 days/week, for 4 weeks. Additionally, the CVRTT group underwent community-based virtual reality scene exposure combined with treadmill training for 30 min/day, 3 days/week, for 4 weeks, whereas the control group underwent conventional physical therapy, including muscle strengthening, balance training, and indoor and outdoor gait training, for 30 min/day, 3 days/week, for 4 weeks. Outcome measurements included the anteroposterior, mediolateral, and total postural sway path lengths and speed, which were recorded using the Balancia Software on a Wii Fit(™) balance board. [Results] The postural sway speed and anteroposterior and total postural sway path lengths were significantly decreased in the CVRTT group. Overall, the CVRTT group showed significantly greater improvement than the control group. [Conclusions] The present study results can be used to support the use of CVRTT for effectively improving balance in stroke patients. Moreover, we determined that a CVRTT program for stroke patients is both feasible and suitable.
Keywords: Balance; Community-based virtual reality; Stroke rehabilitation.
References
-
- Ng SS, Hui-Chan CW: The timed up & go test: its reliability and association with lower-limb impairments and locomotor capacities in people with chronic stroke. Arch Phys Med Rehabil, 2005, 86: 1641–1647. - PubMed
-
- Wee JY, Wong H, Palepu A: Validation of the Berg Balance Scale as a predictor of length of stay and discharge destination in stroke rehabilitation. Arch Phys Med Rehabil, 2003, 84: 731–735. - PubMed
-
- Nichols DS: Balance retraining after stroke using force platform biofeedback. Phys Ther, 1997, 77: 553–558. - PubMed
-
- Mercier L, Audet T, Hébert R, et al. : Impact of motor, cognitive, and perceptual disorders on ability to perform activities of daily living after stroke. Stroke, 2001, 32: 2602–2608. - PubMed
LinkOut - more resources
Full Text Sources
Other Literature Sources