The use of exergames in the rehabilitation of patients with upper limb dysfunctions has increased significantly. This scoping review aimed to investigate the game controllers (GCs) employed in exergame systems used for rehabilitation, offering insights into the platforms, sensors, and techniques used in their development, implementation, and utilization. We conducted a comprehensive search of Scopus and PubMed databases, encompassing articles published between February 2013 and February 2023. The eligibility criteria included studies on upper limbs (UL) rehabilitation using exergames published in English-language journals, resulting in the identification of 175 pertinent articles. Seven key categories were identified: pathology, participants’ conditions, dosage of sessions, GCs, sensors, specific part of the UL rehabilitated, and ergonomics. Stroke (55.4%) and cerebral palsy (6.3%) were the most frequently addressed medical conditions in the exergame-based rehabilitation. The number of participants in the reviewed articles was from one to several hundred. Three types of participants were identified: patients, specialists, and volunteers. Randomized controlled trial (RCT) studies consistently featured a controlled number of sessions (ranging from 6 to 40) lasting an average of 20 minutes, while non-RCT studies displayed more variability. Commercial platforms were favored, accounting for 74.3% of GCs, with physical controllers (57.1%) surpassing virtual ones. Cameras were the predominant sensors (50.3%), although a wide array of sensor types including IMUs, push buttons, and force sensors were also used. Rehabilitation focuses 68% on general UL, 20.6% on hands, 4% on elbows, and 3.4% on arms and shoulders. Notably, only 26.3% of the studies considered ergonomics in the rehabilitation system. Although exergame systems are advancing rehabilitation treatments, there remains a need for further development and research on various aspects, such as ergonomics, controller design, and sensor integration, to enhance their suitability for patient use.
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References
1.
LinJ, KelleherCL, EngsbergJR. Developing home-based virtual reality therapy interventions. Games Health J, 2013; 2(1):34–38; doi: 10.1089/g4h.2012.0033
2.
SongX, Van De VenSS, LiuL, et al.Activities of daily living-based rehabilitation system for arm and hand motor function retraining after stroke. IEEE Trans Neural Syst Rehabil Eng, 2022; 30:621–631; doi: 10.1109/TNSRE.2022.3156387
3.
MarquesIA, AlvesCM, RezendeAR, et al.Virtual reality and serious game therapy for post-stroke individuals: A preliminary study with humanized rehabilitation approach protocol. Complement Ther Clin Pract, 2022; 49:101681; doi: 10.1016/j.ctcp.2022.101681
4.
ProençaJP, QuaresmaC, VieiraP. Serious games for upper limb rehabilitation: A systematic review. Disabil Rehabil Assist Technol, 2018; 13(1):95–100; doi: 10.1080/17483107.2017.1290702
5.
YangZ, RafieiMH, HallA, et al.A novel methodology for extracting and evaluating therapeutic movements in game-based motion capture rehabilitation systems. J Med Syst, 2018; 42(12):255; doi: 10.1007/s10916-018-1113-4
6.
LeonNID, BhattSK, Al-JumailyA. Augmented reality game based multi-usage rehabilitation therapist for stroke patients. International Journal on Smart Sensing and Intelligent Systems, 2022; 7(3):1044–1058; doi: 10.21307/ijssis-2017-693
7.
SyedUE, KamalA. Video game-based and conventional therapies in patients of neurological deficits: An experimental study. Disabil Rehabil Assist Technol, 2021; 16(3):332–339; doi: 10.1080/17483107.2019.1679266
8.
XieH, ZhangH, LiangH, et al.A novel glasses-free virtual reality rehabilitation system on improving upper limb motor function among patients with stroke: A feasibility pilot study. Medicine in Novel Technology and Devices, 2021; 11:100069; doi: 10.1016/j.medntd.2021.100069
9.
RojoA, Santos-PazJÁ, Sánchez-PicotÁ, et al.FarmDay: A gamified virtual reality neurorehabilitation application for upper limb based on activities of daily living. Applied Sciences, 2022; 12(14):7068; doi: 10.3390/app12147068
10.
MacleanN. A critical review of the concept of patient motivation in the literature on physical rehabilitation. Social Science, 2000.
11.
Rodríguez-de-PabloC, PopovićM, SavićA, et al.Post-Stroke Robotic Upper-Limb Telerehabilitation Using Serious Games to Increase Patient Motivation: First Results from ArmAssist System Clinical Trial. In: Advances in Neurotechnology, Electronics and Informatics: Revised Selected Papers from the 2nd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2014), October 25-26, Rome, Italy. (LondralAR, EncarnaçãoP, eds). Biosystems & Biorobotics Springer International Publishing: Cham; 2016; pp. 63–78; doi: 10.1007/978-3-319-26242-0_5
12.
LuW, GriffinJ, SadlerTD, et al.Serious game analytics by design: Feature generation and selection using game telemetry and game metrics: Toward predictive model construction. Learning Analytics, 2023; 10(1):168–188; doi: 10.18608/jla.2023.7681
13.
AlfieriFM, da Silva DiasC, de OliveiraNC, et al.Gamification in musculoskeletal rehabilitation. Curr Rev Musculoskelet Med, 2022; 15(6):629–636; doi: 10.1007/s12178-022-09797-w
14.
CordanÖ, DinçayDA, Yurdakul TokerÇ, et al.Game + Design Education: Proceedings of PUDCAD 2020. Springer Series in Design and Innovation. Springer International Publishing: Cham; 2021.; doi: 10.1007/978-3-030-65060-5
15.
GomezD, BurdeaG, LangranaN. Integration of the Rutgers Master II in a Virtual Reality Simulation. IEEE; 1995; pp. 198–202.
16.
PopescuVG, BurdeaGC, BouzitM, et al.A virtual-reality-based telerehabilitation system with force feedback. IEEE Trans Inf Technol Biomed, 2000; 4(1):45–51; doi: 10.1109/4233.826858
17.
KoutsianaE, LadakisI, FotopoulosD, et al.Serious gaming technology in upper extremity rehabilitation: Scoping review. JMIR Serious Games, 2020; 8(4):e19071; doi: 10.2196/19071
18.
WinkelsDGM, KottinkAIR, TemminkRAJ, et al.WiiTM-habilitation of upper extremity function in children with Cerebral Palsy. An explorative study. Dev Neurorehabil, 2013; 16(1):44–51; doi: 10.3109/17518423.2012.713401
19.
NeilA, EnsS, PelletierR, et al.Sony PlayStation EyeToy elicits higher levels of movement than the Nintendo Wii: Implications for stroke rehabilitation. Eur J Phys Rehabil Med, 2013; 49(1):13–21.
20.
SinH, LeeG. Additional virtual reality training using Xbox Kinect in stroke survivors with hemiplegia. Am J Phys Med Rehabil, 2013; 92(10):871–880; doi: 10.1097/PHM.0b013e3182a38e40
21.
PrangeGB, KottinkAIR, BuurkeJH, et al.The effect of arm support combined with rehabilitation games on upper-extremity function in subacute stroke: A randomized controlled trial. Neurorehabil Neural Repair, 2015; 29(2):174–182; doi: 10.1177/1545968314535985
22.
CaoS, KazukiN, QuanC, et al.On robotic rehabilitation of human dual arms’ coordinative function. JAE, 2016; 52(3–4):943–950; doi: 10.3233/JAE-162088
23.
SimkinsM, BylN, KimH, et al.Upper limb bilateral symmetric training with robotic assistance and clinical outcomes for stroke: A pilot study. International Journal of Intelligent Computing and Cybernetics, 2016; 9(1):83–104; doi: 10.1108/IJICC-09-2014-0041
24.
VanbellingenT, FiliusSJ, NyffelerT, et al.Usability of videogame-based dexterity training in the early rehabilitation phase of stroke patients: A pilot study. Front Neurol, 2017; 8:654; doi: 10.3389/fneur.2017.00654
25.
DemersM, Chan Chun KongD, LevinMF. Feasibility of incorporating functionally relevant virtual rehabilitation in sub-acute stroke care: Perception of patients and clinicians. Disabil Rehabil Assist Technol, 2019; 14(4):361–367; doi: 10.1080/17483107.2018.1449019
26.
TrombettaM, Bazzanello HenriquePP, BrumMR, et al.Motion Rehab AVE 3D: A VR-based exergame for post-stroke rehabilitation. Comput Methods Programs Biomed, 2017; 151:15–20; doi: 10.1016/j.cmpb.2017.08.008
RegoPA, MoreiraPM, ReisLP. Proposal of an extended taxonomy of serious games for health rehabilitation. Games Health J, 2018; 7(5):302–309; doi: 10.1089/g4h.2017.0138
29.
PaliyawanP, ThawonmasR. Towards Ergonomie Exergaming. In: 2016 IEEE 5th Global Conference on Consumer Electronics. IEEE; 2016; pp. 1–2; doi: 10.1109/GCCE.2016.7800429
30.
ManlapazDG, Chiong MayaAC, SicatZMV, et al.Ergonomic considerations in exergaming delivery in orthopedic and neurologic rehabilitation: A systematic review protocol. Physical Therapy Reviews, 2021; 26(5):386–390; doi: 10.1080/10833196.2021.1957640
31.
StandenPJ, ThreapletonK, ConnellL, et al.Patients’ use of a home-based virtual reality system to provide rehabilitation of the upper limb following stroke. Phys Ther, 2015; 95(3):350–359; doi: 10.2522/ptj.20130564
32.
JordanK, SampsonM, KingM. Gravity-supported exercise with computer gaming improves arm function in chronic stroke. Arch Phys Med Rehabil, 2014; 95(8):1484–1489; doi: 10.1016/j.apmr.2014.02.028
33.
WittmannF, HeldJP, LambercyO, et al.Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system. J Neuroeng Rehabil, 2016; 13(1):75; doi: 10.1186/s12984-016-0182-1
34.
TriccoAC, LillieE, ZarinW, et al.PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and explanation. Ann Intern Med, 2018; 169(7):467–473; doi: 10.7326/M18-0850
35.
MunnZ, PetersMDJ, SternC, et al.Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Med Res Methodol, 2018; 18(1):143; doi: 10.1186/s12874-018-0611-x
36.
AkyamanS, AlppayEC. A Critical Review of Video Game Controller Designs. In: Game + Design Education. Springer Series in Design and Innovation. (CordanÖ, DinçayDA, Yurdakul TokerÇ, et al. eds). Springer International Publishing: Cham; 2021; pp. 311–323; doi: 10.1007/978-3-030-65060-5_25
37.
PetersMDJ, GodfreyCM, KhalilH, et al.Guidance for conducting systematic scoping reviews. Int J Evid Based Healthc, 2015; 13(3):141–146; doi: 10.1097/xeb.0000000000000050
38.
TutakJS. Design of ELISE robot for the paretic upper limb of stroke survivors. J Vibroeng, 2016; 18(6):4069–4085; doi: 10.21595/jve.2016.16812
39.
RahmanHA, KamalAAA, NarayananALT. A simple upper limb rehabilitation trainer. International Journal of Integrated Engineering, 2017; 9(3):39–43.
40.
ShinS, LeeH-J, ChangWH, et al.A smart glove digital system promotes restoration of upper limb motor function and enhances cortical hemodynamic changes in subacute stroke patients with mild to moderate weakness: A randomized controlled trial. J Clin Med, 2022; 11(24):7343; doi: 10.3390/jcm11247343
41.
VaidehiK. A study protocol for checking efficacy of leap motion device on gross hand dexterity in sub-acute stroke patients. Ijfmt, 2021; doi: 10.37506/ijfmt.v15i1.13490
42.
ShinJ-H, RyuH, JangSH. A task-specific interactive game-based virtual reality rehabilitation system for patients with stroke: A usability test and two clinical experiments. J Neuroeng Rehabil, 2014; 11(1):32; doi: 10.1186/1743-0003-11-32
43.
Guillén-ClimentS, GarzoA, Muñoz-AlcarazMN, et al.A usability study in patients with stroke using MERLIN, a robotic system based on serious games for upper limb rehabilitation in the home setting. J Neuroeng Rehabil, 2021; 18(1):41; doi: 10.1186/s12984-021-00837-z
44.
GarzoA, JungJH, Arcas-Ruiz-RuanoJ, et al.ArmAssist: A telerehabilitation solution for upper-limb rehabilitation at home. IEEE Robot Automat Mag, 2023; 30(1):62–71; doi: 10.1109/MRA.2022.3225716
45.
LiM, GuoW, XuJ, et al.Attention enhancement and motion assistance for virtual reality-mediated upper-limb rehabilitation. IEEE Trans Med Robot Bionics, 2020; 2(4):565–568; doi: 10.1109/TMRB.2020.3031006
46.
FruchterD, Feingold PolakR, BermanS, et al.Automating provision of feedback to stroke patients with and without information on compensatory movements: A pilot study. Front Hum Neurosci, 2022; 16:918804; doi: 10.3389/fnhum.2022.918804
47.
FluetGG, QiuQ, PatelJ, et al.Autonomous use of the home virtual rehabilitation system: A feasibility and pilot study. Games Health J, 2019; 8(6):432–438; doi: 10.1089/g4h.2019.0012
48.
BowerKJ, LouieJ, LandesrochaY, et al.Clinical feasibility of interactive motion-controlled games for stroke rehabilitation. J Neuroeng Rehabil, 2015; 12(1):63; doi: 10.1186/s12984-015-0057-x
49.
TürkbeyT, KutlayS, GökH. Clinical feasibility of Xbox KinectTM training for stroke rehabilitation: A single-blind randomized controlled pilot study. J Rehabil Med, 2017; 49(1):22–29; doi: 10.2340/16501977-2183
50.
BaiJ, SongA, LiH. Design and analysis of cloud upper limb rehabilitation system based on motion tracking for post-stroke patients. Applied Sciences, 2019; 9(8):1620; doi: 10.3390/app9081620
51.
TseklevesE, ParaskevopoulosIT, WarlandA, et al.Development and preliminary evaluation of a novel low cost VR-based upper limb stroke rehabilitation platform using Wii technology. Disabil Rehabil Assist Technol, 2016; 11(5):413–422; doi: 10.3109/17483107.2014.981874
52.
TriandafilouKM, TsoupikovaD, BarryAJ, et al.Development of a 3D, networked multi-user virtual reality environment for home therapy after stroke. J Neuroeng Rehabil, 2018; 15(1):88; doi: 10.1186/s12984-018-0429-0
53.
DehemS, MontedoroV, EdwardsMG, et al.Development of a robotic upper limb assessment to configure a serious game. Nre, 2019; 44(2):263–274; doi: 10.3233/NRE-182525
54.
Ibarra ZannathaJM, TamayoAJM, SánchezÁDG, et al.Development of a system based on 3D vision, interactive virtual environments, ergonometric signals and a humanoid for stroke rehabilitation. Comput Methods Programs Biomed, 2013; 112(2):239–249; doi: 10.1016/j.cmpb.2013.04.021
55.
QiuQ, CronceA, PatelJ, et al.Development of the Home based Virtual Rehabilitation System (HoVRS) to remotely deliver an intense and customized upper extremity training. J Neuroeng Rehabil, 2020; 17(1):155; doi: 10.1186/s12984-020-00789-w
56.
WidmerM, HeldJP, WittmannF, et al.Does motivation matter in upper-limb rehabilitation after stroke? ArmeoSenso-Reward: Study protocol for a randomized controlled trial. Trials, 2017; 18(1):580; doi: 10.1186/s13063-017-2328-2
57.
ParkY-S, AnC-S, LimC-G. Effects of a rehabilitation program using a wearable device on the upper limb function, performance of activities of daily living, and rehabilitation participation in patients with acute stroke. Int J Environ Res Public Health, 2021; 18(11):5524; doi: 10.3390/ijerph18115524
58.
ShinJ-H, Bog ParkS, Ho JangS. Effects of game-based virtual reality on health-related quality of life in chronic stroke patients: A randomized, controlled study. Comput Biol Med, 2015; 63:92–98; doi: 10.1016/j.compbiomed.2015.03.011
59.
De Castro-CrosM, Sebastian-RomagosaM, Rodríguez-SerranoJ, et al.Effects of gamification in BCI functional rehabilitation. Front Neurosci, 2020; 14:882; doi: 10.3389/fnins.2020.00882
60.
ShinJ-H, KimM-Y, LeeJ-Y, et al.Effects of virtual reality-based rehabilitation on distal upper extremity function and health-related quality of life: A single-blinded, randomized controlled trial. J Neuroeng Rehabil, 2016; 13(1):17; doi: 10.1186/s12984-016-0125-x
61.
SaposnikG, CohenLG, MamdaniM, et al.; Stroke Outcomes Research Canada. Efficacy and safety of non-immersive virtual reality exercising in stroke rehabilitation (EVREST): A randomised, multicentre, single-blind, controlled trial. Lancet Neurol, 2016; 15(10):1019–1027; doi: 10.1016/S1474-4422(16)30121-1
62.
KongK-H, LohY-J, ThiaE, et al.Efficacy of a virtual reality commercial gaming device in upper limb recovery after stroke: A randomized, controlled study. Top Stroke Rehabil, 2016; 23(5):333–340; doi: 10.1080/10749357.2016.1139796
63.
ItoK, UeharaS, YuasaA, et al.Electromyography-controlled gamified exercise system for the distal upper extremity: A usability assessment in subacute post-stroke patients. Disabil Rehabil Assist Technol, 2023; 18(6):883–888; doi: 10.1080/17483107.2021.1936663
64.
RandD, GivonN, WeingardenH, et al.Eliciting upper extremity purposeful movements using video games: A comparison with traditional therapy for stroke rehabilitation. Neurorehabil Neural Repair, 2014; 28(8):733–739; doi: 10.1177/1545968314521008
65.
BaniñaMC, MoladR, SolomonJM, et al.Exercise intensity of the upper limb can be enhanced using a virtual rehabilitation system. Disabil Rehabil Assist Technol, 2022; 17(1):100–106; doi: 10.1080/17483107.2020.1765421
66.
BurdeaGC, GrampurohitN, KimN, et al.Feasibility of integrative games and novel therapeutic game controller for telerehabilitation of individuals chronic post-stroke living in the community. Top Stroke Rehabil, 2020; 27(5):321–336; doi: 10.1080/10749357.2019.1701178
67.
TannousH, IstrateD, PerrochonA, et al.GAMEREHAB@HOME: A new engineering system using serious game and multisensor fusion for functional rehabilitation at home. IEEE Trans Games, 2021; 13(1):89–98; doi: 10.1109/TG.2019.2963108
68.
KottinkAIR, PrangeGB, KrabbenT, et al.Gaming and conventional exercises for improvement of arm function after stroke: A randomized controlled pilot study. Games Health J, 2014; 3(3):184–191; doi: 10.1089/g4h.2014.0026
69.
CovarrubiasM, BordegoniM, CuginiU. Haptic trajectories for assisting patients during rehabilitation of upper extremities. Computer-Aided Design and Applications, 2015; 12(2):218–225; doi: 10.1080/16864360.2014.962434
70.
RozevinkSG, Van Der SluisCK, HijmansJM. HoMEcare aRm rehabiLItatioN (MERLIN): Preliminary evidence of long term effects of telerehabilitation using an unactuated training device on upper limb function after stroke. J Neuroeng Rehabil, 2021; 18(1):141; doi: 10.1186/s12984-021-00934-z
71.
RozevinkSG, Van Der SluisCK, GarzoA, et al.HoMEcare aRm rehabiLItatioN (MERLIN): Telerehabilitation using an unactuated device based on serious games improves the upper limb function in chronic stroke. J Neuroeng Rehabil, 2021; 18(1):48; doi: 10.1186/s12984-021-00841-3
72.
HerneR, ShiratuddinMF, RaiS, et al.Improving engagement of stroke survivors using desktop virtual reality-based serious games for upper limb rehabilitation: A multiple case study. IEEE Access, 2022; 10:46354–46371; doi: 10.1109/ACCESS.2022.3169286
73.
MaoY, LinQ, QiuY, et al.Mechanism of Kinect-based virtual reality training for motor functional recovery of upper limbs after subacute stroke. Neural Regen Res, 2013; 8(31):2904–2913; doi: 10.3969/j.issn.1673-5374.2013.31.003
74.
ChoiY-H, PaikN-J. Mobile game-based virtual reality program for upper extremity stroke rehabilitation. J Vis Exp, 2018(133):56241; doi: 10.3791/56241
75.
Orihuela-EspinaF, Fernández Del CastilloI, PalafoxL, et al.Neural reorganization accompanying upper limb motor rehabilitation from stroke with virtual reality-based gesture therapy. Top Stroke Rehabil, 2013; 20(3):197–209; doi: 10.1310/tsr2003-197
76.
LinB-S, ChenJ-L, HsuH-C. Novel upper-limb rehabilitation system based on attention technology for post-stroke patients: A preliminary study. IEEE Access, 2018; 6:2720–2731; doi: 10.1109/ACCESS.2017.2785122
77.
HoermannS, HaleL, WinserSJ, et al.Patient engagement and clinical feasibility of Augmented Reflection Technology for stroke rehabilitation. International Journal on Disability and Human Development, 2014; 13(3); doi: 10.1515/ijdhd-2014-0328
78.
WuQ, WangX, ChenB, et al.Patient-active control of a powered exoskeleton targeting upper limb rehabilitation training. Front Neurol, 2018; 9:817; doi: 10.3389/fneur.2018.00817
79.
Garcia-HernandezN, Huerta-CervantesK, Muñoz-PepiI, et al.Personalized touch-based exergame system for unilateral and bilateral rehabilitation training. Games Health J, 2022; 11(3):157–167; doi: 10.1089/g4h.2021.0115
80.
KilbrideC, WarlandA, StewartV, et al.Rehabilitation using virtual gaming for Hospital and hOMe-Based training for the Upper limb post Stroke (RHOMBUS II): Protocol of a feasibility randomised controlled trial. BMJ Open, 2022; 12(6):e058905; doi: 10.1136/bmjopen-2021-058905
81.
PengL, HouZ-G, PengL, et al.Robot assisted rehabilitation of the arm after stroke: Prototype design and clinical evaluation. Sci China Inf Sci, 2017; 60(7):e073201; doi: 10.1007/s11432-017-9076-9
82.
BurdeaG, KimN, PolisticoK, et al.Robotic table and serious games for integrative rehabilitation in the early poststroke phase: Two case reports. JMIR Rehabil Assist Technol, 2022; 9(2):e26990; doi: 10.2196/26990
83.
BressiF, SantacaterinaF, CricentiL, et al.Robotic-assisted hand therapy with Gloreha Sinfonia for the improvement of hand function after pediatric stroke: A case report. Applied Sciences, 2022; 12(9):4206; doi: 10.3390/app12094206
84.
KilbrideC, ScottDJM, ButcherT, et al.Safety, feasibility, acceptability and preliminary effects of the Neurofenix platform for Rehabilitation via HOMe Based gaming exercise for the Upper-limb post Stroke (RHOMBUS): Results of a feasibility intervention study. BMJ Open, 2022; 12(2):e052555; doi: 10.1136/bmjopen-2021-052555
85.
FongKNK, TangYM, SieK, et al.Task-specific virtual reality training on hemiparetic upper extremity in patients with stroke. Virtual Reality, 2022; 26(2):453–464; doi: 10.1007/s10055-021-00583-6
86.
LeeS, ChaH. The effect of clinical application of transcranial direct current stimulation combined with non-immersive virtual reality rehabilitation in stroke patients. Technol Health Care, 2022; 30(1):117–127; doi: 10.3233/THC-212991
87.
Abd El-KafyEM, AlshehriMA, El-FikyAA-R, et al.The effect of robot-mediated virtual reality gaming on upper limb spasticity poststroke: A randomized-controlled trial. Games Health J, 2022; 11(2):93–103; doi: 10.1089/g4h.2021.0197
88.
ÖzenÖ, BuetlerKA, Marchal-CrespoL. Towards functional robotic training: Motor learning of dynamic tasks is enhanced by haptic rendering but hampered by arm weight support. J Neuroeng Rehabil, 2022; 19(1):19; doi: 10.1186/s12984-022-00993-w
89.
BouteraaY, AbdallahIB, ElmogyAM. Training of hand rehabilitation using low cost exoskeleton and vision-based game interface. J Intell Robot Syst, 2019; 96(1):31–47; doi: 10.1007/s10846-018-0966-6
90.
LeeSH, JungH, YunSJ, et al.Upper extremity rehabilitation using fully immersive virtual reality games with a head mount display: A feasibility study. Pm R, 2020; 12(3):257–262; doi: 10.1002/pmrj.12206
91.
ChoS, KimW-S, PaikN-J, et al.Upper-limb function assessment using VBBTs for stroke patients. IEEE Comput Graph Appl, 2016; 36(1):70–78; doi: 10.1109/MCG.2015.2
92.
DiasP, SilvaR, AmorimP, et al.Using virtual reality to increase motivation in poststroke rehabilitation. IEEE Comput Graph Appl, 2019; 39(1):64–70; doi: 10.1109/MCG.2018.2875630
93.
JacekT. Virtual reality and exercises for paretic upper limb of stroke survivors. Teh Vjesn, 2017; 24(Suppl 2); doi: 10.17559/TV-20161011143721
94.
AhmadMA, SinghDKA, Mohd NordinNA, et al.Virtual reality games as an adjunct in improving upper limb function and general health among stroke survivors. Int J Environ Res Public Health, 2019; 16(24):5144; doi: 10.3390/ijerph16245144
95.
ShahmoradiL, AlmasiS, AhmadiH, et al.Virtual reality games for rehabilitation of upper extremities in stroke patients. J Bodyw Mov Ther, 2021; 26:113–122; doi: 10.1016/j.jbmt.2020.10.006
96.
Ikbali AfsarS, MirzayevI, Umit YemisciO, et al.Virtual reality in upper extremity rehabilitation of stroke patients: A randomized controlled trial. J Stroke Cerebrovasc Dis, 2018; 27(12):3473–3478; doi: 10.1016/j.jstrokecerebrovasdis.2018.08.007
97.
AnwarN, KarimiH, AhmadA, et al.Virtual reality training using Nintendo Wii games for patients with stroke: Randomized controlled trial. JMIR Serious Games, 2022; 10(2):e29830; doi: 10.2196/29830
98.
CarregosaAA, Aguiar Dos SantosLR, MasruhaMR, et al.Virtual rehabilitation through Nintendo Wii in poststroke patients: Follow-up. J Stroke Cerebrovasc Dis, 2018; 27(2):494–498; doi: 10.1016/j.jstrokecerebrovasdis.2017.09.029
99.
Da Silva RibeiroNM, FerrazDD, PedreiraÉ, et al.Virtual rehabilitation via Nintendo Wii® and conventional physical therapy effectively treat post-stroke hemiparetic patients. Top Stroke Rehabil, 2015; 22(4):299–305; doi: 10.1179/1074935714Z.0000000017
100.
SemblantesPA, AndaluzVH, LaglaJ, et al.Visual feedback framework for rehabilitation of stroke patients. Informatics in Medicine Unlocked, 2018; 13:41–50; doi: 10.1016/j.imu.2018.10.002
101.
LiC, SongX, ChenS, et al.Long-term effectiveness and adoption of a cellphone augmented reality system on patients with stroke: Randomized controlled trial. JMIR Serious Games, 2021; 9(4):e30184; doi: 10.2196/30184
102.
GauthierLV, KaneC, BorstadA, et al.Video Game Rehabilitation for Outpatient Stroke (VIGoROUS): Protocol for a multi-center comparative effectiveness trial of in-home gamified constraint-induced movement therapy for rehabilitation of chronic upper extremity hemiparesis. BMC Neurol, 2017; 17(1):109; doi: 10.1186/s12883-017-0888-0
103.
HouseG, BurdeaG, PolisticoK, et al.A rehabilitation first—tournament between teams of nursing home residents with chronic stroke. Games Health J, 2016; 5(1):75–83; doi: 10.1089/g4h.2015.0072
104.
PaquinK, AliS, CarrK, et al.Effectiveness of commercial video gaming on fine motor control in chronic stroke within community-level rehabilitation. Disabil Rehabil, 2015; 37(23):2184–2191; doi: 10.3109/09638288.2014.1002574
105.
Marques-SuleE, Arnal-GómezA, Buitrago-JiménezG, et al.Effectiveness of nintendo wii and physical therapy in functionality, balance, and daily activities in chronic stroke patients. J Am Med Dir Assoc, 2021; 22(5):1073–1080; doi: 10.1016/j.jamda.2021.01.076
106.
AşkınA, AtarE, KoçyiğitH, et al.Effects of Kinect-based virtual reality game training on upper extremity motor recovery in chronic stroke. Somatosens Mot Res, 2018; 35(1):25–32; doi: 10.1080/08990220.2018.1444599
107.
SongX, Van De VenSS, ChenS, et al.Proposal of a wearable multimodal sensing-based serious games approach for hand movement training after stroke. Front Physiol, 2022; 13:811950; doi: 10.3389/fphys.2022.811950
108.
ElorA, TeodorescuM, KurniawanS. Project star catcher: A novel immersive virtual reality experience for upper limb rehabilitation. ACM Trans Access Comput, 2018; 11(4):1–25; doi: 10.1145/3265755
109.
ChoiH-S, ShinW-S, BangD-H. Mirror therapy using gesture recognition for upper limb function, neck discomfort, and quality of life after chronic stroke: A single-blind randomized controlled trial. Med Sci Monit, 2019; 25:3271–3278; doi: 10.12659/MSM.914095
110.
HungJ-W, ChouC-X, ChangY-J, et al.Comparison of Kinect2Scratch game-based training and therapist-based training for the improvement of upper extremity functions of patients with chronic stroke: A randomized controlled single-blinded trial. Eur J Phys Rehabil Med, 2019; 55(5):542–550; doi: 10.23736/S1973-9087.19.05598-9
111.
Norouzi-GheidariN, HernandezA, ArchambaultPS, et al.Feasibility, safety and efficacy of a virtual reality exergame system to supplement upper extremity rehabilitation post-stroke: A pilot randomized clinical trial and proof of principle. Int J Environ Res Public Health, 2019; 17(1):113; doi: 10.3390/ijerph17010113
112.
ÖgünMN, KurulR, YaşarMF, et al.Effect of leap motion-based 3D immersive virtual reality usage on upper extremity function in ischemic stroke patients. Arq Neuropsiquiatr, 2019; 77(10):681–688; doi: 10.1590/0004-282x20190129
113.
ChoiY-H, KuJ, LimH, et al.Mobile game-based virtual reality rehabilitation program for upper limb dysfunction after ischemic stroke. Restor Neurol Neurosci, 2016; 34(3):455–463; doi: 10.3233/RNN-150626
114.
WidmerM, HeldJPO, WittmannF, et al.Reward during arm training improves impairment and activity after stroke: A randomized controlled trial. Neurorehabil Neural Repair, 2022; 36(2):140–150; doi: 10.1177/15459683211062898
115.
Aguilera-RubioÁ, Cuesta-GómezA, Mallo-LópezA, et al.Feasibility and efficacy of a virtual reality game-based upper extremity motor function rehabilitation therapy in patients with chronic stroke: A pilot study. Int J Environ Res Public Health, 2022; 19(6):3381; doi: 10.3390/ijerph19063381
116.
KilbrideC, ScottDJM, ButcherT, et al.Rehabilitation via HOMe Based gaming exercise for the Upper-limb post Stroke (RHOMBUS): protocol of an intervention feasibility trial. BMJ Open, 2018; 8(11):e026620; doi: 10.1136/bmjopen-2018-026620
117.
SureshJ, HarishC. Effectiveness of virtual reality using PS4 gaming technology in stroke rehabilitation for improving upper limb function-a pilot study. Indian Journal of Public Health Research &Amp; Development, 2019; 10; doi: 10.5958/0976-5506.2019.00894.5
118.
HernandezA, BubyrL, ArchambaultPS, et al.Virtual reality–based rehabilitation as a feasible and engaging tool for the management of chronic poststroke upper-extremity function recovery: Randomized controlled trial. JMIR Serious Games, 2022; 10(3):e37506; doi: 10.2196/37506
119.
JhaCK, GajapureK, ChakrabortyAL. Design and evaluation of an FBG sensor-based glove to simultaneously monitor flexure of ten finger joints. IEEE Sensors J, 2021; 21(6):7620–7630; doi: 10.1109/JSEN.2020.3046521
120.
BortoneI, BarsottiM, LeonardisD, et al.Immersive Virtual Environments and Wearable Haptic Devices in rehabilitation of children with neuromotor impairments: A single-blind randomized controlled crossover pilot study. J Neuroeng Rehabil, 2020; 17(1):144; doi: 10.1186/s12984-020-00771-6
121.
CamardellaC, ChiaradiaD, BortoneI, et al.Introducing wearable haptics for rendering velocity feedback in VR serious games for neuro-rehabilitation of children. Front Virtual Real, 2023; 3:1019302; doi: 10.3389/frvir.2022.1019302
122.
StansfieldS, DennisC, LarinH, et al.Movement-based VR gameplay therapy for a child with cerebral palsy. Stud Health Technol Inform, 2015; 219:153–157.
123.
AvcilE, TarakciD, ArmanN, et al.Upper extremity rehabilitation using video games in cerebral palsy: A randomized clinical trial. Acta Neurol Belg, 2021; 121(4):1053–1060; doi: 10.1007/s13760-020-01400-8
124.
DehemS, MontedoroV, BrouwersI, et al.Validation of a robot serious game assessment protocol for upper limb motor impairment in children with cerebral palsy. Nre, 2019; 45(2):137–149; doi: 10.3233/NRE-192745
125.
ZoccolilloL, MorelliD, CincottiF, et al.Video-game based therapy performed by children with cerebral palsy: A cross-over randomized controlled trial and a cross-sectional quantitative measure of physical activity. Eur J Phys Rehabil Med, 2015; 51(6):669–676.
126.
KellerJW, Van HedelHJA. Weight-supported training of the upper extremity in children with cerebral palsy: A motor learning study. J Neuroeng Rehabil, 2017; 14(1):87; doi: 10.1186/s12984-017-0293-3
127.
ChoiJY, YiS, AoL, et al.Virtual reality rehabilitation in children with brain injury: A randomized controlled trial. Dev Med Child Neurol, 2021; 63(4):480–487; doi: 10.1111/dmcn.14762
128.
KasseeC, HuntC, HolmesMWR, et al.Home-based Nintendo Wii training to improve upper-limb function in children ages 7 to 12 with spastic hemiplegic cerebral palsy. J Pediatr Rehabil Med, 2017; 10(2):145–154; doi: 10.3233/PRM-170439
129.
EckertM, Domingo SoriaB, Terroso GilN. Finding effective adjustment levels for upper limb exergames: Focus group study with children with physical disabilities. JMIR Serious Games, 2023; 11:e36110; doi: 10.2196/36110
130.
Sánchez-Herrera-BaezaP, Cano-de-la-CuerdaR, Oña-SimbañaED, et al.The impact of a novel immersive virtual reality technology associated with serious games in Parkinson’s disease patients on upper limb rehabilitation: A mixed methods intervention study. Sensors (Basel), 2020; 20(8):2168; doi: 10.3390/s20082168
BankPJM, CidotaMA, OuwehandPW, et al.Patient-tailored augmented reality games for assessing upper extremity motor impairments in Parkinson’s disease and stroke. J Med Syst, 2018; 42(12):246; doi: 10.1007/s10916-018-1100-9
133.
OñaED, BalaguerC, Cano-de La CuerdaR, et al.Effectiveness of serious games for leap motion on the functionality of the upper limb in Parkinson’s disease: A feasibility study. Comput Intell Neurosci, 2018; 2018:7148427; doi: 10.1155/2018/7148427
134.
Fernández-GonzálezP, Carratalá-TejadaM, Monge-PereiraE, et al.Leap motion controlled video game-based therapy for upper limb rehabilitation in patients with Parkinson’s disease: A feasibility study. J Neuroeng Rehabil, 2019; 16(1):133; doi: 10.1186/s12984-019-0593-x
135.
OñaED, JardónA, Cuesta-GómezA, et al.Validity of a fully-immersive vr-based version of the box and blocks test for upper limb function assessment in Parkinson’s disease. Sensors (Basel), 2020; 20(10):2773; doi: 10.3390/s20102773
136.
Cuesta-GómezA, Sánchez-Herrera-BaezaP, Oña-SimbañaED, et al.Effects of virtual reality associated with serious games for upper limb rehabilitation in patients with multiple sclerosis: randomized controlled trial. J Neuroeng Rehabil, 2020; 17(1):90; doi: 10.1186/s12984-020-00718-x
137.
EsfahlaniSS, ShirvaniH, ButtJ, et al.Machine Learning role in clinical decision-making: Neuro-rehabilitation video game. Expert Systems with Applications, 2022; 201:117165; doi: 10.1016/j.eswa.2022.117165
138.
Cuesta-GómezA, Martín-DíazP, Sánchez-Herrera BaezaP, et al.Nintendo switch joy-cons’ infrared motion camera sensor for training manual dexterity in people with multiple sclerosis: A Randomized Controlled Trial. J Clin Med, 2022; 11(12):3261; doi: 10.3390/jcm11123261
139.
JonsdottirJ, BertoniR, LawoM, et al.Serious games for arm rehabilitation of persons with multiple sclerosis. A randomized controlled pilot study. Mult Scler Relat Disord, 2018; 19:25–29; doi: 10.1016/j.msard.2017.10.010
140.
JonsdottirJ, PeriniG, AscoleseA, et al.Unilateral arm rehabilitation for persons with multiple sclerosis using serious games in a virtual reality approach: Bilateral treatment effect? Mult Scler Relat Disord, 2019; 35:76–82; doi: 10.1016/j.msard.2019.07.010
141.
LimI, ChaB, ChoDR, et al.Safety and potential usability of immersive virtual reality for brain rehabilitation: A pilot study. Games Health J, 2023; 12(1):34–41; doi: 10.1089/g4h.2022.0048
142.
Carrogi-ViannaD, LopesPB, CymrotR, et al.Analysis of movement acceleration of Down’s syndrome teenagers playing computer games. Games Health J, 2017; 6(6):358–364; doi: 10.1089/g4h.2017.0026
143.
SoaresAV, Borges JúniorNG, HounsellMS, et al.A serious game developed for physical rehabilitation of frail elderly. European Research in Telemedicine/La Recherche Européenne en Télémédecine, 2016; 5(2):45–53; doi: 10.1016/j.eurtel.2016.05.003
144.
HeutinckL, JansenM, Van Den ElzenY, et al.Virtual reality computer gaming with dynamic arm support in boys with duchenne muscular dystrophy. J Neuromuscul Dis, 2018; 5(3):359–372; doi: 10.3233/JND-180307
145.
BonnechèreB, JansenB, HaackI, et al.Automated functional upper limb evaluation of patients with Friedreich ataxia using serious games rehabilitation exercises. J Neuroeng Rehabil, 2018; 15(1):87; doi: 10.1186/s12984-018-0430-7
146.
ScardovelliTA, FrèreAF. The design and evaluation of a peripheral device for use with a computer game intended for children with motor disabilities. Comput Methods Programs Biomed, 2015; 118(1):44–58; doi: 10.1016/j.cmpb.2014.10.002
147.
GutiérrezÁ, FarellaN, Gil-AgudoÁ, et al.Virtual reality environment with haptic feedback thimble for post spinal cord injury upper-limb rehabilitation. Applied Sciences, 2021; 11(6):2476; doi: 10.3390/app11062476
148.
PierellaC, GalofaroE, De LucaA, et al.Recovery of distal arm movements in spinal cord injured patients with a body-machine interface: A proof-of-concept study. Sensors (Basel), 2021; 21(6):2243; doi: 10.3390/s21062243
149.
Padilla-CastañedaMA, SotgiuE, BarsottiM, et al.An orthopaedic robotic-assisted rehabilitation method of the forearm in virtual reality physiotherapy. J Healthc Eng, 2018; 2018:7438609–7438620; doi: 10.1155/2018/7438609
150.
MohammadiM, KnocheH, ThøgersenM, et al.Eyes-free tongue gesture and tongue joystick control of a five DOF upper-limb exoskeleton for severely disabled individuals. Front Neurosci, 2021; 15:739279; doi: 10.3389/fnins.2021.739279
151.
De Los Reyes-GuzmánA, Lozano-BerrioV, Alvarez-RodríguezM, et al.RehabHand: Oriented-tasks serious games for upper limb rehabilitation by using Leap Motion Controller and target population in spinal cord injury. Nre, 2021; 48(3):365–373; doi: 10.3233/NRE-201598
152.
GutiérrezÁ, Sepúlveda-MuñozD, Gil-AgudoÁ, et al.Serious game platform with haptic feedback and EMG monitoring for upper limb rehabilitation and smoothness quantification on spinal cord injury patients. Applied Sciences, 2020; 10(3):963; doi: 10.3390/app10030963
153.
ChenJ. Clinical effect of virtual reality technology on rehabilitation training of sports injury. J Healthc Eng, 2021; 2021:1361851; doi: 10.1155/2021/1361851
154.
PrahmC, VujaklijaI, KayaliF, et al.Game-based rehabilitation for myoelectric prosthesis control. JMIR Serious Games, 2017; 5(1):e3; doi: 10.2196/games.6026
155.
MeleroM, HouA, ChengE, et al.Upbeat: Augmented reality-guided dancing for prosthetic rehabilitation of upper limb amputees. J Healthc Eng, 2019; 2019:2163705–2163709; doi: 10.1155/2019/2163705
156.
KristoffersenMB, FranzkeAW, BongersRM, et al.User training for machine learning controlled upper limb prostheses: A serious game approach. J Neuroeng Rehabil, 2021; 18(1):32; doi: 10.1186/s12984-021-00831-5
157.
HashimNA, Abd RazakNA, GholizadehH, et al.Video game–based rehabilitation approach for individuals who have undergone upper limb amputation: Case-control study. JMIR Serious Games, 2021; 9(1):e17017; doi: 10.2196/17017
158.
WoodwardRB, HargroveLJ. Adapting myoelectric control in real-time using a virtual environment. J Neuroeng Rehabil, 2019; 16(1):11; doi: 10.1186/s12984-019-0480-5
159.
KamelFAH, BashaMA. Effects of virtual reality and task-oriented training on hand function and activity performance in pediatric hand burns: A randomized controlled trial. Arch Phys Med Rehabil, 2021; 102(6):1059–1066; doi: 10.1016/j.apmr.2021.01.087
160.
RadwanNL, IbrahimMM, MahmoudWS. Effect of Wii-habilitation on spatiotemporal parameters and upper limb function post-burn in children. Burns, 2021; 47(4):828–837; doi: 10.1016/j.burns.2020.09.010
161.
NicaAS, BrailescuCM, GabrielaR. Virtual reality as method for evaluation and therapy after traumatic hand surgery. Stud Health Technol Inform, 2013; 191:48–52.
162.
HouseG, BurdeaG, GrampurohitN, et al.A feasibility study to determine the benefits of upper extremity virtual rehabilitation therapy for coping with chronic pain post-cancer surgery. Br J Pain, 2016; 10(4):186–197; doi: 10.1177/2049463716664370
163.
BashaMA, AboelnourNH, AlsharidahAS, et al.Effect of exercise mode on physical function and quality of life in breast cancer–related lymphedema: A randomized trial. Support Care Cancer, 2022; 30(3):2101–2110; doi: 10.1007/s00520-021-06559-1
164.
ZhouZ, LiJ, WangH, et al.Upper limb rehabilitation system based on virtual reality for breast cancer patients: Development and usability study. PLoS One, 2021; 16(12):e0261220; doi: 10.1371/journal.pone.0261220
165.
ArmanN, TarakciE, TarakciD, et al.Effects of video games–based task-oriented activity training (Xbox 360 kinect) on activity performance and participation in patients with juvenile idiopathic arthritis: A Randomized Clinical Trial. Am J Phys Med Rehabil, 2019; 98(3):174–181; doi: 10.1097/PHM.0000000000001001
166.
BorgesJV, De SouzaLAPS, BertoncelloD, et al.Effects of serious games in strength and functionality of patients with ulnar nerve lesion: two single-case reports. Int J Rehabil Res, 2020; 43(3):280–284; doi: 10.1097/MRR.0000000000000423
167.
HanJ, LianS, GuoB, et al.Active rehabilitation training system for upper limb based on virtual reality. Advances in Mechanical Engineering, 2017; 9(12):168781401774338; doi: 10.1177/1687814017743388
SaidRR, YongWQ, Bin HeyatMB, et al.Design of a smart elbow brace as a home-based rehabilitation device. Comput Intell Neurosci, 2022; 2022:3754931; doi: 10.1155/2022/3754931
170.
MontoyaMF, MuñozJ, HenaoOA. Fatigue-aware videogame using biocybernetic adaptation: A pilot study for upper-limb rehabilitation with sEMG. Virtual Reality, 2023; 27(1):277–290; doi: 10.1007/s10055-021-00561-y
171.
De SouzaMRSB, GonçalvesRS, CarboneG. Feasibility and performance validation of a leap motion controller for upper limb rehabilitation. Robotics, 2021; 10(4):130; doi: 10.3390/robotics10040130
172.
FotopoulosD, LadakisI, KilintzisV, et al.Gamifying rehabilitation: MILORD platform as an upper limb motion rehabilitation service. Front Comput Sci, 2022; 4:932342; doi: 10.3389/fcomp.2022.932342
173.
OcampoR, TavakoliM. Improving user performance in haptics-based rehabilitation exercises by colocation of user’s visual and motor axes via a three-dimensional augmented-reality display. IEEE Robot Autom Lett, 2019; 4(2):438–444; doi: 10.1109/LRA.2019.2891283
174.
ShahmoradiL, AlmasiS, GhotbiN, et al.Learning promotion of physiotherapy in neurological diseases: Design and application of a virtual reality-based game. J Educ Health Promot, 2020; 9(1):234; doi: 10.4103/jehp.jehp_736_19
175.
KoçakM, GezginE. PARS, low-cost portable rehabilitation system for upper arm. HardwareX, 2022; 11:e00299; doi: 10.1016/j.ohx.2022.e00299
176.
BonnechèreB, SholukhaV, OmelinaL, et al.Suitability of functional evaluation embedded in serious game rehabilitation exercises to assess motor development across lifespan. Gait Posture, 2017; 57:35–39; doi: 10.1016/j.gaitpost.2017.05.025
177.
ChenK, ChenKB. Task-oriented and imitation-oriented movements in virtual reality exercise performance and design. Hum Factors, 2023; 65(1):125–136; doi: 10.1177/00187208211010100
178.
Garcia-HernandezN, Huerta-CervantesK, Muñoz-PepiI, et al.Touch location and force sensing interactive system for upper limb motor rehabilitation. Multimed Tools Appl, 2022; 81(10):14133–14152; doi: 10.1007/s11042-022-12275-7
179.
RivasJJ, Orihuela-EspinaF, PalafoxL, et al.Unobtrusive inference of affective states in virtual rehabilitation from upper limb motions: A feasibility study. IEEE Trans Affective Comput, 2020; 11(3):470–481; doi: 10.1109/TAFFC.2018.2808295
180.
CortésC, ArdanzaA, Molina-RuedaF, et al.Upper limb posture estimation in robotic and virtual reality-based rehabilitation. Biomed Res Int, 2014; 2014:821908–821918; doi: 10.1155/2014/821908
181.
CondinoS, TuriniG, ViglialoroR, et al.Wearable augmented reality application for shoulder rehabilitation. Electronics, 2019; 8(10):1178; doi: 10.3390/electronics8101178
182.
SinghDKA, RahmanNNA, SeffiyahR, et al.Impact of virtual reality games on psychological well-being and upper limb performance in adults with physical disabilities: A pilot study. Med J Malaysia, 2017; 72(2):119–121.
183.
Sadeghi EsfahlaniS, MuresanB, SanaeiA, et al.Validity of the Kinect and Myo armband in a serious game for assessing upper limb movement. Entertainment Computing, 2018; 27:150–156; doi: 10.1016/j.entcom.2018.05.003
184.
ThomannG, De CarvalhoVA. Personalized upper limb orthosis necessitates variety of tools during the development process: Hemiplegic child case study. Disabil Rehabil Assist Technol, 2021; 16(2):188–195; doi: 10.1080/17483107.2019.1646820
185.
TarakciE, ArmanN, TarakciD, et al.Leap motion controller–based training for upper extremity rehabilitation in children and adolescents with physical disabilities: A randomized controlled trial. J Hand Ther, 2020; 33(2):220–228.e1; doi: 10.1016/j.jht.2019.03.012
186.
LiH-J, SongA-G. Architectural design of a cloud robotic system for upper-limb rehabilitation with multimodal interaction. J Comput Sci Technol, 2017; 32(2):258–268; doi: 10.1007/s11390-017-1720-4
187.
SucarLE, Orihuela-EspinaF, VelazquezRL, et al.Gesture therapy: An upper limb virtual reality-based motor rehabilitation platform. IEEE Trans Neural Syst Rehabil Eng, 2014; 22(3):634–643; doi: 10.1109/TNSRE.2013.2293673
188.
BaluzR, TelesA, FonteneleJE, et al.Motor rehabilitation of upper limbs using a gesture-based serious game: Evaluation of usability and user experience. Games Health J, 2022; 11(3):177–185; doi: 10.1089/g4h.2022.0005
189.
JuanM-C, ElexpuruJ, DiasP, et al.Immersive virtual reality for upper limb rehabilitation: Comparing hand and controller interaction. Virtual Real, 2023; 27(2):1157–1171; doi: 10.1007/s10055-022-00722-7
190.
GonçalvesRS, SouzaM, CarboneG. Analysis of the leap motion controller’s performance in measuring wrist rehabilitation tasks using an industrial robot arm reference. Sensors (Basel), 2022; 22(13):4880; doi: 10.3390/s22134880
191.
KamikokuryoK, HagaT, VentureG, et al.Adversarial autoencoder and multi-armed bandit for dynamic difficulty adjustment in immersive virtual reality for rehabilitation: Application to hand movement. Sensors (Basel), 2022; 22(12):4499; doi: 10.3390/s22124499
192.
KellerJ, ŠtětkářováI, MacriV, et al.Virtual reality-based treatment for regaining upper extremity function induces cortex grey matter changes in persons with acquired brain injury. J Neuroeng Rehabil, 2020; 17(1):127; doi: 10.1186/s12984-020-00754-7
193.
KwakkelG, Van PeppenR, WagenaarRC, et al.Effects of augmented exercise therapy time after stroke: a meta-analysis. Stroke, 2004; 35(11):2529–2539; doi: 10.1161/01.STR.0000143153.76460.7d
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