» Articles » PMID: 31489154

Advanced Virtual Reality-based Rehabilitation of Balance and Gait in Clinical Practice

Overview
Publisher Sage Publications
Date 2019 Sep 7
PMID 31489154
Citations 27
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Extensive research shows that virtual reality (VR) enhances motor learning and has advantages in balance and gait rehabilitation of neurological patients. There is still uncertainty, however, as for the practicality and efficacy of VR in long-term clinical routine. The objective of this study was to report on 3 years of clinical practice conducting VR-based rehabilitation of balance and gait in a large medical center.

Methods: This retrospective study systematically analyzed clinical records of patients who received VR-based rehabilitation in a large rehabilitation center during 3 years. We evaluated the effect of VR-based rehabilitation treatments on balance and gait, cognitive dual-task load, patient's balance confidence (ABC-scale) and perception of suitability. Patients were either neurological patients, allocated to five groups: Parkinson's disease (PD), poststroke (PS), multiple sclerosis, traumatic brain injury, and 'other conditions', or non-neurological patients.

Results: Records of 167 patients were analyzed. The availability of multiple VR systems and environments contributed to highly personalized interventions that tailored specific deficits with therapeutic goals. VR-based rehabilitation significantly improved balance and gait (measured by 10-Meter Walk Test, Timed-Up-and-Go, Berg Balance Scale, and Mini BESTest). Patients with PD and PS decreased dual-task cost while walking. Patients increased balance confidence and deemed VR suitable for rehabilitation.

Conclusions: Our results suggest that VR-based rehabilitation is practicable and effective in clinical routine. Functional measures of balance and gait show significant improvements following VR-based interventions. Clinical approaches should exploit VR advantages for promoting motor learning and motivation. This study serves to aid transition to long-term clinical implementation of VR.

Citing Articles

Virtual reality for multiple sclerosis rehabilitation.

De Keersmaecker E, Guida S, Denissen S, Dewolf L, Nagels G, Jansen B Cochrane Database Syst Rev. 2025; 1:CD013834.

PMID: 39775922 PMC: 11705534. DOI: 10.1002/14651858.CD013834.pub2.


A Machine Learning Approach to Classifying EEG Data Collected with or without Haptic Feedback during a Simulated Drilling Task.

Ramirez Campos M, McCracken H, Uribe-Quevedo A, Grant B, Yielder P, Murphy B Brain Sci. 2024; 14(9).

PMID: 39335390 PMC: 11429552. DOI: 10.3390/brainsci14090894.


Might patients with cerebellar ataxia benefit from the Computer Assisted Rehabilitation ENvironment (CAREN)? A pilot study focusing on gait and balance.

Bonanno M, de Pasquale P, DE Marchis C, Lombardo Facciale A, Paladina G, Fonti B Front Bioeng Biotechnol. 2024; 12:1385280.

PMID: 39011156 PMC: 11247328. DOI: 10.3389/fbioe.2024.1385280.


Aberrant decision-making as a risk factor for falls in aging.

Jain S, Schweighofer N, Finley J Front Aging Neurosci. 2024; 16:1384242.

PMID: 38979111 PMC: 11229407. DOI: 10.3389/fnagi.2024.1384242.


Virtual Reality-Based Interventions to Improve Balance in Patients with Traumatic Brain Injury: A Scoping Review.

Hernan G, Ingale N, Somayaji S, Veerubhotla A Brain Sci. 2024; 14(5).

PMID: 38790408 PMC: 11119161. DOI: 10.3390/brainsci14050429.


References
1.
Greenwald B, Cifu D, Marwitz J, ENDERS L, Brown A, Englander J . Factors associated with balance deficits on admission to rehabilitation after traumatic brain injury: a multicenter analysis. J Head Trauma Rehabil. 2001; 16(3):238-52. DOI: 10.1097/00001199-200106000-00003. View

2.
Dite W, Temple V . A clinical test of stepping and change of direction to identify multiple falling older adults. Arch Phys Med Rehabil. 2002; 83(11):1566-71. DOI: 10.1053/apmr.2002.35469. View

3.
Berg K, Williams J, Maki B . Measuring balance in the elderly: validation of an instrument. Can J Public Health. 1992; 83 Suppl 2:S7-11. View

4.
Riva G, Mantovani F, Gaggioli A . Presence and rehabilitation: toward second-generation virtual reality applications in neuropsychology. J Neuroeng Rehabil. 2005; 1(1):9. PMC: 546411. DOI: 10.1186/1743-0003-1-9. View

5.
Kenyon R, Leigh J, Keshner E . Considerations for the future development of virtual technology as a rehabilitation tool. J Neuroeng Rehabil. 2005; 1(1):13. PMC: 546412. DOI: 10.1186/1743-0003-1-13. View