Effects of virtual reality-based rehabilitation on distal upper extremity function and health-related quality of life: A single-blinded, randomized controlled trial

Journal of NeuroEngineering and Rehabilitation

Volumn 13, Issue 1, 2016, Pages

  Shin, Joon Ho ^a   Kim, Mi Young ^a   Lee, Ji Yeong ^a   Jeon, Yu Jin ^a   Kim, Suyoung ^b   Lee, Soobin ^c   Seo, Beomjoo ^d   Choi, Younggeun ^c,e  

^a Ministry of Health and Welfare   (South Korea)

^b Hanyang University   (South Korea)

^c Neofect ^*  (South Korea)

^d Hong Ik University   (South Korea)

^e Dankook University   (South Korea)

Author keywords

Quality of life; Rehabilitation; Upper extremity; Video games; Virtual reality therapy

Indexed keywords

ADULT; ARM MOVEMENT; ARTICLE; CEREBROVASCULAR ACCIDENT; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; FUGL MEYER ASSESSMENT; FUNCTION TEST; FUNCTIONAL ASSESSMENT; HUMAN; JEBSEN TAYLOR HAND FUNCTION TEST; MALE; OCCUPATIONAL THERAPY; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PURDUE PEGBOARD TEST; QUALITY OF LIFE; RANDOMIZED CONTROLLED TRIAL; REHABILITATION CARE; SCORING SYSTEM; SINGLE BLIND PROCEDURE; STROKE IMPACT SCALE VERSION 3.0; SURVIVOR; VIRTUAL REALITY; VIRTUAL REALITY BASED REHABILITATION; AGED; ALGORITHM; COMPUTER INTERFACE; MIDDLE AGED; PATHOPHYSIOLOGY; STROKE REHABILITATION; TREATMENT OUTCOME; UPPER LIMB; VIDEO GAME;

AGED; ALGORITHMS; FEMALE; HUMANS; MALE; MIDDLE AGED; OCCUPATIONAL THERAPY; QUALITY OF LIFE; SINGLE-BLIND METHOD; STROKE REHABILITATION; TREATMENT OUTCOME; UPPER EXTREMITY; USER-COMPUTER INTERFACE; VIDEO GAMES;

EID: 84977509508     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/s12984-016-0125-x     Document Type: Article

References (33)

1. Kwakkel G, Kollen BJ, van der Grond J, Prevo AJ. Probability of regaining dexterity in the flaccid upper limb: impact of severity of paresis and time since onset in acute stroke. Stroke. 2003;34(9):2181-6.
2. Broeks JG, Lankhorst GJ, Rumping K, Prevo AJ. The long-term outcome of arm function after stroke: results of a follow-up study. Disabil Rehabil. 1999;21(8):357-64.
3. Wolf SL, Winstein CJ, Miller JP, Taub E, Uswatte G, Morris D, et al. Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke: the EXCITE randomized clinical trial. JAMA. 2006;296(17):2095-104.
4. Fredericks CM, Saladin LK, Fredericks C. Pathophysiology of the motor systems: principles and clinical presentations. Philadelphia: FA Davis; 1996.
5. French B, Thomas LH, Leathley MJ, Sutton CJ, McAdam J, Forster A, et al. Repetitive Task Training for Improving Functional Ability After Stroke. Stroke. 2009;40(4):e98-9.
6. Liepert J, Bauder H, Miltner WH, Taub E, Weiller C. Treatment-induced cortical reorganization after stroke in humans. Stroke. 2000;31(6):1210-6.
7. Nudo RJ, Wise BM, SiFuentes F, Milliken GW. Neural Substrates for the Effects of Rehabilitative Training on Motor Recovery After Ischemic Infarct. Science. 1996;272(5269):1791-4.
8. Maclean N, Pound P, Wolfe C, Rudd A. Qualitative analysis of stroke patients' motivation for rehabilitation. BMJ. 2000;321(7268):1051-4.
9. Laver KE, George S, Thomas S, Deutsch JE, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2015:CD008349.
10. Merians AS, Fluet GG, Qiu Q, Saleh S, Lafond I, Davidow A, et al. Robotically facilitated virtual rehabilitation of arm transport integrated with finger movement in persons with hemiparesis. J Neuroeng Rehabil. 2011;8(27):0003-8.
11. Tsoupikova D, Stoykov NS, Corrigan M, Thielbar K, Vick R, Li Y, et al. Virtual immersion for post-stroke hand rehabilitation therapy. Ann Biomed Eng. 2015;43(2):467-77.
12. da Silva CM, Bermudez IBS, Duarte E, Verschure PF. Virtual reality based rehabilitation speeds up functional recovery of the upper extremities after stroke: a randomized controlled pilot study in the acute phase of stroke using the rehabilitation gaming system. Restor Neurol Neurosci. 2011;29(5):287-98.
13. Thielbar KO, Lord TJ, Fischer HC, Lazzaro EC, Barth KC, Stoykov ME, et al. Training finger individuation with a mechatronic-virtual reality system leads to improved fine motor control post-stroke. J Neuroeng Rehabil. 2014;11(1):171.
14. Van Allen MW. Aids to the examination of the peripheral nervous system. Arch Neurol. 1977;34(1):61-1.
15. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state": a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189-98.
16. Gagliese L, Weizblit N, Ellis W, Chan VW. The measurement of postoperative pain: a comparison of intensity scales in younger and older surgical patients. Pain. 2005;117(3):412-20.
17. Choi Y, Gordon J, Park H, Schweighofer N. Feasibility of the adaptive and automatic presentation of tasks (ADAPT) system for rehabilitation of upper extremity function post-stroke. J Neuroeng Rehabil. 2011;8(42):0003-8.
18. Fugl-Meyer AR, Jääskö L, Leyman I, Olsson S, Steglind S. The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scand J Rehabil Med. 1974;7(1):13-31.
19. Kim JH, Kim IS, Han TR. New scoring system for jebsen hand function test. J Korean Acad Rehabil Med. 2007;31(6):623-9.
20. Duncan PW, Bode RK, Lai SM, Perera S, Investigators GAiNA. Rasch analysis of a new stroke-specific outcome scale: the Stroke Impact Scale. Arch Phys Med Rehabil. 2003;84(7):950-63.
21. Moriello C, Byrne K, Cieza A, Nash C, Stolee P, Mayo N. Mapping the stroke impact scale (SIS-16) to the International Classification of Functioning, Disability and Health. J Rehabil Med. 2008;40(2):102-6.
22. Piron L, Turolla A, Agostini M, Zucconi C, Cortese F, Zampolini M, et al. Exercises for paretic upper limb after stroke: a combined virtual-reality and telemedicine approach. J Rehabil Med. 2009;41(12):1016-20.
23. Lin K-c, Fu T, Wu C-y, Wang Y-h, Liu J-s, Hsieh C-j, et al. Minimal detectable change and clinically important difference of the Stroke Impact Scale in stroke patients. Neurorehabil Neural Repair. 2010;24(5):486-92.
24. French B, Leathley M, Sutton C, McAdam J, Thomas L. A systematic review of repetitive functional task practice with modelling of resource use, costs and effectiveness. Health Technol Assess. 2008;12(30):140.
25. Hubbard IJ, Parsons MW, Neilson C, Carey LM. Task-specific training: evidence for and translation to clinical practice. Occup Ther Int. 2009;16(3-4):175-89.
26. Schaefer SY, Patterson CB, Lang CE. Transfer of Training Between Distinct Motor Tasks After Stroke Implications for Task-Specific Approaches to Upper-Extremity Neurorehabilitation. Neurorehabil Neural Repair. 2013;27(7):602-12.
27. Krakauer JW. Motor learning: its relevance to stroke recovery and neurorehabilitation. Curr Opin Neurol. 2006;19(1):84-90.
28. Lin KC, Chang YF, Wu CY, Chen YA. Effects of Constraint-Induced Therapy Versus Bilateral Arm Training on Motor Performance, Daily Functions, and Quality of Life in Stroke Survivors. Neurorehabil Neural Repair. 2009;23(5):441-8.
29. Wu C-y, Chen C-l, Tsai W-c, Lin K-c, Chou S-h. A randomized controlled trial of modified constraint-induced movement therapy for elderly stroke survivors: changes in motor impairment, daily functioning, and quality of life. Arch Phys Med Rehabil. 2007;88(3):273-8.
30. Pulman J, Buckley E. Assessing the efficacy of different upper limb hemiparesis interventions on improving health-related quality of life in stroke patients: a systematic review. Top Stroke Rehabil. 2013;20(2):171-88.
31. Shin JH, Park SB, Jang SH. Effects of game-based virtual reality on health-related quality of life in chronic stroke patients: A randomized, controlled study. Comput Biol Med. 2015;63:92-8.
32. Gladstone DJ, Danells CJ, Black SE. The Fugl-Meyer assessment of motor recovery after stroke: a critical review of its measurement properties. Neurorehabil Neural Repair. 2002;16(3):232-40.
33. Turolla A, Dam M, Ventura L, Tonin P, Agostini M, Zucconi C, et al. Virtual reality for the rehabilitation of the upper limb motor function after stroke: a prospective controlled trial. J Neuroeng Rehabil. 2013;10:85.