Effects of Virtual Reality Game on Upper Extremity Function for Stroke
Effects of Wearable Sensor Based Virtual Reality Game on Upper Extremity Function for Patients With Stroke
1 other identifier
interventional
37
1 country
1
Brief Summary
Virtual reality training had already been used in stroke rehabilitation, and previous studies supported that it could improve upper extremity ability and increase motivation and pleasure than conventional methods. Pablo is a new VR game combined with motion sensor system which can detect subject's activities. Unlike commercial camera systems such as Kinect or XBOX, the systems require a continuous sightline or enough active range of motion which may increase risk of compensatory movement. Few of studies had investigated the rehabilitation effects on upper extremity with Pablo for patients with stroke.The purpose of this study is to investigate the effects of virtual reality upper extremity training through Pablo system in patients with chronic stroke.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable stroke
Started May 2020
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 2, 2020
CompletedFirst Posted
Study publicly available on registry
March 5, 2020
CompletedStudy Start
First participant enrolled
May 2, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 25, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
July 25, 2021
CompletedSeptember 24, 2021
February 1, 2021
1.1 years
March 2, 2020
September 23, 2021
Conditions
Outcome Measures
Primary Outcomes (1)
Fugl-Meyer Assessment-upper extremity
The Fugl-Meyer Assessment-upper extremity (FMA-UE) measures motor impairment in the upper extremity. The assessment consists of 33 items, including movement, reflex, grasp, and coordination, and a total score of 66.
Change from Baseline at 9 weeks
Secondary Outcomes (6)
Box and block test
Change from Baseline at 9 weeks
Dynanometer
Change from Baseline at 9 weeks
Active range of motion of shoulder and elbow
Change from Baseline at 9 weeks
Stroke Impact Scale
Change from Baseline at 9 weeks
Modified Physical Activity Enjoyment Scale
Every training session during 18 sessions, total sessions continued to 9 weeks
- +1 more secondary outcomes
Study Arms (2)
virtual reality group
EXPERIMENTALStandard treatment 30 minutes plus virtual reality game 30 minutes, twice a week for 9 weeks.
standard treatment group
ACTIVE COMPARATORStandard treatment 60 minutes, twice a week for 9 weeks.
Interventions
The controllers were attached to upper extremity to control the game. The game could train the shoulder, elbow, and wrist control.
The program included bilateral hand, grasp/release, and pinch activities.
Eligibility Criteria
You may qualify if:
- First stroke with hemiplegia,
- Chronicity of \>6 months
- Could understand instructions
- Brunnstrom stage of UE ≥IV.
You may not qualify if:
- Patients who were aged \<20 years and \>75 years
- Patients with visual or auditory impairment who were unable to see or hear the feedback from the device clearly
- Montreal Cognitive Assessment \<16
- Modified Ashworth Scale score of \>2
- Patients with other medical symptoms that can affect movement were excluded.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Taipei Medical University Shuang Ho Hospital
New Taipei City, Taiwan
Related Publications (16)
Hatano S. Experience from a multicentre stroke register: a preliminary report. Bull World Health Organ. 1976;54(5):541-53.
PMID: 1088404BACKGROUNDCarod-Artal J, Egido JA, Gonzalez JL, Varela de Seijas E. Quality of life among stroke survivors evaluated 1 year after stroke: experience of a stroke unit. Stroke. 2000 Dec;31(12):2995-3000. doi: 10.1161/01.str.31.12.2995.
PMID: 11108762BACKGROUNDChiu L, Shyu WC, Liu YH. Comparisons of the cost-effectiveness among hospital chronic care, nursing home placement, home nursing care and family care for severe stroke patients. J Adv Nurs. 2001 Feb;33(3):380-6. doi: 10.1046/j.1365-2648.2001.01703.x.
PMID: 11251725BACKGROUNDNordin N, Xie SQ, Wunsche B. Assessment of movement quality in robot- assisted upper limb rehabilitation after stroke: a review. J Neuroeng Rehabil. 2014 Sep 12;11:137. doi: 10.1186/1743-0003-11-137.
PMID: 25217124BACKGROUNDJang SH. The recovery of walking in stroke patients: a review. Int J Rehabil Res. 2010 Dec;33(4):285-9. doi: 10.1097/MRR.0b013e32833f0500.
PMID: 20805757BACKGROUNDKopp B, Kunkel A, Muhlnickel W, Villringer K, Taub E, Flor H. Plasticity in the motor system related to therapy-induced improvement of movement after stroke. Neuroreport. 1999 Mar 17;10(4):807-10. doi: 10.1097/00001756-199903170-00026.
PMID: 10208552BACKGROUNDBasteris A, Nijenhuis SM, Stienen AH, Buurke JH, Prange GB, Amirabdollahian F. Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review. J Neuroeng Rehabil. 2014 Jul 10;11:111. doi: 10.1186/1743-0003-11-111.
PMID: 25012864BACKGROUNDCorrection to: Guidelines for Adult Stroke Rehabilitation and Recovery: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke. 2017 Dec;48(12):e369. doi: 10.1161/STR.0000000000000156. No abstract available.
PMID: 29180589BACKGROUNDSusanto EA, Tong RK, Ockenfeld C, Ho NS. Efficacy of robot-assisted fingers training in chronic stroke survivors: a pilot randomized-controlled trial. J Neuroeng Rehabil. 2015 Apr 25;12:42. doi: 10.1186/s12984-015-0033-5.
PMID: 25906983BACKGROUNDLaver KE, George S, Thomas S, Deutsch JE, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2015 Feb 12;2015(2):CD008349. doi: 10.1002/14651858.CD008349.pub3.
PMID: 25927099BACKGROUNDSmith, C., et al., Can non-immersive virtual reality improve physical outcomes of rehabilitation? Physical Therapy Reviews, 2012. 17(1): p. 1-15.
BACKGROUNDPeters DM, McPherson AK, Fletcher B, McClenaghan BA, Fritz SL. Counting repetitions: an observational study of video game play in people with chronic poststroke hemiparesis. J Neurol Phys Ther. 2013 Sep;37(3):105-11. doi: 10.1097/NPT.0b013e31829ee9bc.
PMID: 23872681BACKGROUNDLaver, K.E., et al., Virtual reality for stroke rehabilitation. Stroke, 2018. 49(4): p. e160-e161.
BACKGROUNDLin LF, Lin YJ, Lin ZH, Chuang LY, Hsu WC, Lin YH. Feasibility and efficacy of wearable devices for upper limb rehabilitation in patients with chronic stroke: a randomized controlled pilot study. Eur J Phys Rehabil Med. 2018 Jun;54(3):388-396. doi: 10.23736/S1973-9087.17.04691-3. Epub 2017 Jun 19.
PMID: 28627862BACKGROUNDChen HM, Chen CC, Hsueh IP, Huang SL, Hsieh CL. Test-retest reproducibility and smallest real difference of 5 hand function tests in patients with stroke. Neurorehabil Neural Repair. 2009 Jun;23(5):435-40. doi: 10.1177/1545968308331146. Epub 2009 Mar 4.
PMID: 19261767BACKGROUNDKuo FL, Lee HC, Kuo TY, Wu YS, Lee YS, Lin JC, Huang SW. Effects of a wearable sensor-based virtual reality game on upper-extremity function in patients with stroke. Clin Biomech (Bristol). 2023 Apr;104:105944. doi: 10.1016/j.clinbiomech.2023.105944. Epub 2023 Mar 11.
PMID: 36963203DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Hsinchieh Lee
Taipei Medical University, Taiwan, R.O.C.
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 2, 2020
First Posted
March 5, 2020
Study Start
May 2, 2020
Primary Completion
June 25, 2021
Study Completion
July 25, 2021
Last Updated
September 24, 2021
Record last verified: 2021-02
Data Sharing
- IPD Sharing
- Will not share