Effects of Virtual Reality Game on Upper Extremity Function for Stroke
NCT ID: NCT04296032
Last Updated: 2021-09-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
37 participants
INTERVENTIONAL
2020-05-02
2021-07-25
Brief Summary
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Detailed Description
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METHODS:Patients with mild to moderate motor deficits were recruited and randomly assigned to "VR plus standard rehabilitation group"(n=19), and "standard rehabilitation group" (n=19). After 12 training sessions (60 minutes a time, 2 times a week), the performance was assessed by a blinded assessor. The outcome measures included Fugl-Meyer Assessment-Upper Limb section(FMAUE), Box and block test(BBT), Dynanometer, active range of motion of shoulder and elbow,and Stroke Impact Scale.Modified Physical Activity Enjoyment Scale and adverse effect were recorded after each sessions.Collected data will be analyzed with sample T test by SPSS version 20.0, and alpha level was set at 0.05.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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virtual reality group
Standard treatment 30 minutes plus virtual reality game 30 minutes, twice a week for 9 weeks.
virtual reality game traning
The controllers were attached to upper extremity to control the game. The game could train the shoulder, elbow, and wrist control.
standard treatment
The program included bilateral hand, grasp/release, and pinch activities.
standard treatment group
Standard treatment 60 minutes, twice a week for 9 weeks.
standard treatment
The program included bilateral hand, grasp/release, and pinch activities.
Interventions
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virtual reality game traning
The controllers were attached to upper extremity to control the game. The game could train the shoulder, elbow, and wrist control.
standard treatment
The program included bilateral hand, grasp/release, and pinch activities.
Eligibility Criteria
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Inclusion Criteria
* Chronicity of \>6 months
* Could understand instructions
* Brunnstrom stage of UE ≥IV.
Exclusion Criteria
* 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.
20 Years
75 Years
ALL
No
Sponsors
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Taipei Medical University Shuang Ho Hospital
OTHER
Responsible Party
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Principal Investigators
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Hsinchieh Lee
Role: PRINCIPAL_INVESTIGATOR
Taipei Medical University, Taiwan, R.O.C.
Locations
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Taipei Medical University Shuang Ho Hospital
New Taipei City, , Taiwan
Countries
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References
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Hatano S. Experience from a multicentre stroke register: a preliminary report. Bull World Health Organ. 1976;54(5):541-53.
Carod-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.
Chiu 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.
Nordin 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.
Jang 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.
Kopp 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.
Basteris 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.
Correction 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.
Susanto 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.
Laver 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.
Smith, C., et al., Can non-immersive virtual reality improve physical outcomes of rehabilitation? Physical Therapy Reviews, 2012. 17(1): p. 1-15.
Peters 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.
Laver, K.E., et al., Virtual reality for stroke rehabilitation. Stroke, 2018. 49(4): p. e160-e161.
Lin 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.
Chen 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.
Kuo 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.
Other Identifiers
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TMU-JIRB N201912049
Identifier Type: -
Identifier Source: org_study_id
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