Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97278
PIRA download icon_1.1View/Download Full Text
Title: Task-specific virtual reality training on hemiparetic upper extremity in patients with stroke
Authors: Fong, KNK 
Tang, YM 
Sie, K 
Yu, AKH 
Lo, CCW 
Ma, YWT 
Issue Date: Jun-2022
Source: Virtual reality, June 2022, v. 26, no. 2, p. 453-464
Abstract: Task-specific training has been proven to be effective in promoting recovery of the hemiparetic upper extremities after a stroke. This study was to develop a task-specific VR (TS-VR) program using a leap motion controller device and the Unity3D game engine to promote recovery of the hemiparetic upper extremity in patients with stroke based on a hierarchy of seven functional tasks in the functional test for the hemiplegic upper extremity (FTHUE). The final version of the TS-VR was tested on 20 patients suffering from chronic stroke with upper-extremity hemiparesis over 2 weeks, 5 sessions per week, 30 min per session. Outcomes were assessed using the Fugl-Meyer assessment-upper extremity score (FMA-UE), the Wolf motor function test (WMFT), and the motor activity log (MAL) at the first (week 0), last (week 2), and follow-up sessions (week 5). Patients’ arm impairments were stratified into lower (levels 1–4) and higher (levels 5–7) functioning groups according to the FTHUE. Significant improvements were found after TS-VR training in FMA-UE total score and its subscores, and WFMT score among the three time occasions (p = 0.000), but no significant effect on grip strength was found. The higher-functioning group benefited more from the TS-VR, as indicated in outcome measures as well as amount of use score in MAL, but this was not the case for those in the lower-functioning group. Our findings show the TS-VR training was useful for upper-extremity recovery in patients with chronic stroke. It has potential to be applied in clinical settings in future.
Keywords: Evaluation
Leap motion controller
Rehabilitation
Task-specific training
Training stroke
Upper limb
Virtual reality
Publisher: Springer UK
Journal: Virtual reality 
ISSN: 1359-4338
EISSN: 1434-9957
DOI: 10.1007/s10055-021-00583-6
Rights: © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10055-021-00583-6.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Fong_Task-Specific_Virtual_Reality.pdfPre-Published version763.56 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

84
Citations as of Apr 14, 2025

Downloads

278
Citations as of Apr 14, 2025

SCOPUSTM   
Citations

35
Citations as of May 15, 2025

WEB OF SCIENCETM
Citations

28
Citations as of Oct 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.