Gamified exercise for the distal upper extremity in people with post-stroke hemiparesis: feasibility study on subjective perspectives during daily continuous training

References

• GBD 2016 Stroke Collaborators. Global, regional, and national burden of stroke, 1990–2016: a systematic analysis for the global burden of disease study 2016. Lancet Neurol. 2019;18(5):1–9. doi: 10.1016/S1474-4422(19)30034-1.
   PubMed Web of Science ®Google Scholar
• Broeks JG, Lankhorst GJ, Rumping K, et al. The long-term outcome of arm function after stroke: results of a follow-up study. Disabil Rehabil. 1999;21(8):357–364. doi: 10.1080/096382899297459.
   PubMed Web of Science ®Google Scholar
• Chen CM, Tsai CC, Chung CY, et al. Potential predictors for health-related quality of life in stroke patients undergoing inpatient rehabilitation. Health Qual Life Outcomes. 2015;13(1):118. doi: 10.1186/s12955-015-0314-5.
   PubMedGoogle Scholar
• Lieshout ECC, van de Port IG, Dijkhuizen RM, et al. Does upper limb strength play a prominent role in health-related quality of life in stroke patients discharged from inpatient rehabilitation? Top Stroke Rehabil. 2020;27(7):525–533. doi: 10.1080/10749357.2020.1738662.
   PubMed Web of Science ®Google Scholar
• Arya KN, Pandian S, Verma R, et al. Movement therapy induced neural reorganization and motor recovery in stroke: a review. J Bodyw Mov Ther. 2011;15(4):528–537. doi: 10.1016/j.jbmt.2011.01.023.
   PubMedGoogle Scholar
• Takeuchi N, Izumi S. Rehabilitation with poststroke motor recovery: a review with a focus on neural plasticity. Stroke Res Treat. 2013;2013:128641. doi: 10.1155/2013/128641.
   PubMedGoogle Scholar
• Nudo RJ, Milliken GW, Jenkins WM, et al. Use-dependent alterations of movement representations in primary motor cortex of adult squirrel monkeys. J Neurosci. 1996;16(2):785–807. doi: 10.1523/JNEUROSCI.16-02-00785.1996.
   PubMed Web of Science ®Google Scholar
• Nudo RJ, Wise BM, SiFuentes F, et al. Neural substrates for the effects of rehabilitative training on motor recovery after ischemic infarct. Science. 1996;272(5269):1791–1794. doi: 10.1126/science.272.5269.1791.
   PubMed Web of Science ®Google Scholar
• Aflalo TN, Graziano MS. Possible origins of the complex topographic organization of motor cortex: reduction of a multidimensional space onto a two-dimensional array. J Neurosci. 2006;26(23):6288–6297. doi: 10.1523/jneurosci.0768-06.2006.
   PubMed Web of Science ®Google Scholar
• Peurala SH, Kantanen MP, Sjögren T, et al. Effectiveness of constraint-induced movement therapy on activity and participation after stroke: a systematic review and meta-analysis of randomized controlled trials. Clin Rehabil. 2012;26(3):209–223. doi: 10.1177/0269215511420306.
   PubMed Web of Science ®Google Scholar
• Sterr A, Elbert T, Berthold I, et al. Longer versus shorter daily constraint-induced movement therapy of chronic hemiparesis: an exploratory study. Arch Phys Med Rehabil. 2002;83(10):1374–1377. doi: 10.1053/apmr.2002.35108.
   PubMed Web of Science ®Google Scholar
• Han CE, Arbib MA, Schweighofer N. Stroke rehabilitation reaches a threshold. PLOS Comput Biol. 2008;4(8):e1000133. doi: 10.1371/journal.pcbi.1000133.
   PubMed Web of Science ®Google Scholar
• Winstein CJ, Stein J, Arena R, et al. Guidelines for adult stroke rehabilitation and recovery: a guideline for healthcare professionals from the American heart association/American stroke association. Stroke. 2016;47(6):e98–e169. doi: 10.1161/STR.0000000000000098.
   PubMed Web of Science ®Google Scholar
• Hsieh YW, Wu CY, Liao WW, et al. Effects of treatment intensity in upper limb robot-assisted therapy for chronic stroke: a pilot randomized controlled trial. Neurorehabil Neural Repair. 2011;25(6):503–511. doi: 10.1177/1545968310394871.
   PubMed Web of Science ®Google Scholar
• Klamroth-Marganska V, Blanco J, Campen K, et al. Three-dimensional, task-specific robot therapy of the arm after stroke: a multicentre, parallel-group randomised trial. Lancet Neurol. 2014;13(2):159–166. doi: 10.1016/S1474-4422(13)70305-3.
   PubMed Web of Science ®Google Scholar
• Lo AC, Guarino PD, Richards LG, et al. Robot-assisted therapy for long-term upper-limb impairment after stroke. N Engl J Med. 2010;362(19):1772–1783. doi: 10.1056/NEJMoa0911341.
   PubMed Web of Science ®Google Scholar
• Smania N, Gandolfi M, Paolucci S, et al. Reduced-intensity modified constraint-induced movement therapy versus conventional therapy for upper extremity rehabilitation after stroke: a multicenter trial. Neurorehabil Neural Repair. 2012;26(9):1035–1045. doi: 10.1177/1545968312446003.
   PubMed Web of Science ®Google Scholar
• Wang Q, Zhao JL, Zhu QX, et al. Comparison of conventional therapy, intensive therapy and modified constraint-induced movement therapy to improve upper extremity function after stroke. J Rehabil Med. 2011;43(7):619–625. doi: 10.2340/16501977-0819.
   PubMed Web of Science ®Google Scholar
• Winstein CJ, Wolf SL, Dromerick AW, et al. Effect of a task-oriented rehabilitation program on upper extremity recovery following motor stroke: the ICARE randomized clinical trial. JAMA. 2016;315(6):571–581. doi: 10.1001/jama.2016.0276.
   PubMed Web of Science ®Google Scholar
• Wolf SL, Thompson PA, Winstein CJ, et al. The EXCITE stroke trial: comparing early and delayed constraint-induced movement therapy. Stroke. 2010;41(10):2309–2315. doi: 10.1161/STROKEAHA.110.588723.
   PubMed Web of Science ®Google Scholar
• Wolf SL, Winstein CJ, Miller JP, 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):2095–2104. doi: 10.1001/jama.296.17.2095.
   PubMed Web of Science ®Google Scholar
• Wu CY, Chen YA, Lin KC, et al. Constraint-induced therapy with trunk restraint for improving functional outcomes and trunk-arm control after stroke: a randomized controlled trial. Phys Ther. 2012;92(4):483–492. doi: 10.2522/ptj.20110213.
   PubMed Web of Science ®Google Scholar
• Hung YX, Huang PC, Chen KT, et al. What do stroke patients look for in game-based rehabilitation: a survey study. Medicine. 2016;95(11):e3032. doi: 10.1097/MD.0000000000003032.
   PubMed Web of Science ®Google Scholar
• Shaughnessy M, Resnick BM, Macko RF. Testing a model of post-stroke exercise behavior. Rehabil Nurs. 2006;31(1):15–21. doi: 10.1002/j.2048-7940.2006.tb00005.x.
   PubMed Web of Science ®Google Scholar
• Karamians R, Proffitt R, Kline D, et al. Effectiveness of virtual reality- and gaming-based interventions for upper extremity rehabilitation poststroke: a meta-analysis. Arch Phys Med Rehabil. 2020;101(5):885–896. doi: 10.1016/j.apmr.2019.10.195.
   PubMed Web of Science ®Google Scholar
• Lohse KR, Hilderman CG, Cheung KL, et al. Virtual reality therapy for adults post-stroke: a systematic review and meta-analysis exploring virtual environments and commercial games in therapy. PLOS One. 2014;9(3):e93318. doi: 10.1371/journal.pone.0093318.
   PubMed Web of Science ®Google Scholar
• Swanson LR, Whittinghill DM. Intrinsic or extrinsic? Using videogames to motivate stroke survivors: a systematic review. Games Health J. 2015;4(3):253–258. doi: 10.1089/g4h.2014.0074.
   PubMed Web of Science ®Google Scholar
• Colman AM. A dictionary of psychology. Oxford (UK): Oxford University Press; 2009. doi: 10.1093/acref/9780199534067.001.0001
   Google Scholar
• Ryan RM, Deci EL. Intrinsic and extrinsic motivations: classic definitions and new directions. Contemp Educ Psychol. 2000;25(1):54–67. doi: 10.1006/ceps.1999.1020.
   PubMed Web of Science ®Google Scholar
• Kelley SA, Brownell CA, Campbell SB. Mastery motivation and self-evaluative affect in toddlers: longitudinal relations with maternal behavior. Child Dev. 2000;71(4):1061–1071. doi: 10.1111/1467-8624.00209.
   PubMed Web of Science ®Google Scholar
• van der Kooij K, van Dijsseldonk R, van Veen M, et al. Gamification as a sustainable source of enjoyment during balance and gait exercises. Front Psychol. 2019;10:294. doi: 10.3389/fpsyg.2019.00294.
   PubMed Web of Science ®Google Scholar
• Vansteenkiste M, Lens W, Deci EL. Intrinsic versus extrinsic goal contents in self-determination theory: another look at the quality of academic motivation. Educ Psychol. 2006;41(1):19–31. doi: 10.1207/s15326985ep4101_4.
   Web of Science ®Google Scholar
• Ito K, Uehara S, Yuasa A, et al. Electromyography-controlled gamified exercise system for the distal upper extremity: a usability assessment in subacute post-stroke patients. Disabil Rehabil Assist Technol. 2021;18(6):883–888. doi: 10.1080/17483107.2021.1936663.
   PubMed Web of Science ®Google Scholar
• Bernhardt J, Hayward KS, Kwakkel G, et al. Agreed definitions and a shared vision for new standards in stroke recovery research: the stroke recovery and rehabilitation roundtable taskforce. Int J Stroke. 2017;12(5):444–450. doi: 10.1177/1747493017711816.
   PubMed Web of Science ®Google Scholar
• Chino N, Sonoda S, Domen K, et al. Stroke impairment assessment set (SIAS). In: Chino N, Melvin JL, editors. Functional evaluation of stroke patients. Tokyo: Springer Japan; 1996:19–31.
   Google Scholar
• Domen K, Sonoda S, Chino N, et al. Evaluation of motor function in stroke patients using the stroke impairment assessment set (SIAS). Functional evaluation of stroke patients. Tokyo: Springer-Verlag; 1996. p. 33–44. doi: 10.1007/978-4-431-68461-9_4.
   Google Scholar
• Fugl-Meyer AR, Jaasko L, Leyman I, et al. The post-stroke hemiplegic patient. 1. a method for evaluation of ­physical performance. JRM. 1975;7(1):13–31. doi: 10.2340/1650197771331.
   Google Scholar
• Lyle RC. A performance test for assessment of upper limb function in physical rehabilitation treatment and research. Int J Rehabil Res. 1981;4(4):483–492. doi: 10.1097/00004356-198112000-00001.
   PubMed Web of Science ®Google Scholar
• Acciarresi M, Bogousslavsky J, Paciaroni M. Post-stroke fatigue: epidemiology, clinical characteristics and treatment. Eur Neurol. 2014;72(5-6):255–261. doi: 10.1159/s000363763.
   PubMed Web of Science ®Google Scholar
• Ponchel A, Bombois S, Bordet R, et al. Factors associated with poststroke fatigue: a systematic review. Stroke Res Treat. 2015;2015:347920. doi: 10.1155/2015/347920.
   PubMedGoogle Scholar
• Yoshida T, Otaka Y, Osu R, et al. Motivation for rehabilitation in patients with subacute stroke: a qualitative study. Front Rehabil Sci. 2021;2:664758. doi: 10.3389/fresc.2021.664758.
   PubMedGoogle Scholar
• Ashe MC, Miller WC, Eng JJ, et al. Older adults, chronic disease and leisure-time physical activity. Gerontology. 2009;55(1):64–72. doi: 10.1159/000141518.
   PubMed Web of Science ®Google Scholar
• Hatem SM, Saussez G, Della Faille M, et al. Rehabilitation of motor function after stroke: a multiple systematic review focused on techniques to stimulate upper ­extremity recovery. Front Hum Neurosci. 2016;10:442. doi: 10.3389/fnhum.2016.00442.
   PubMed Web of Science ®Google Scholar
• Oyake K, Suzuki M, Otaka Y, et al. Motivational strategies for stroke rehabilitation: a delphi study. Arch Phys Med Rehabil. 2020;101(11):1929–1936. doi: 10.1016/j.apmr.2020.06.007.
   PubMed Web of Science ®Google Scholar
• Ryan RM, Rigby CS, Przybylski A. The motivational pull of video games: a self-determination theory approach. Motiv Emot. 2006;30(4):344–360. doi: 10.1007/s11031-006-9051-8.
   Web of Science ®Google Scholar
• Przybylski AK, Rigby CS, Ryan RM. A motivational model of video game engagement. Rev Gen Psychol. 2010;14(2):154–166. doi: 10.1037/a0019440.
   Web of Science ®Google Scholar
• Subramanian S, Dahl Y, Skjæret Maroni N, et al. Assessing motivational differences between young and older adults when playing an exergame. Games Health J. 2020;9(1):24–30. doi: 10.1089/g4h.2019.0082.
   PubMed Web of Science ®Google Scholar
• Ozaki K, Kondo I, Hirano S, et al. Training with a balance exercise assist robot is more effective than conventional training for frail older adults. Geriatr Gerontol Int. 2017;17(11):1982–1990. doi: 10.1111/ggi.13009.
   PubMed Web of Science ®Google Scholar