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Cited by in F6Publishing
For: Gerber CN, Kunz B, van Hedel HJ. Preparing a neuropediatric upper limb exergame rehabilitation system for home-use: a feasibility study. J Neuroeng Rehabil 2016;13:33. [PMID: 27008504 DOI: 10.1186/s12984-016-0141-x] [Cited by in Crossref: 12] [Cited by in F6Publishing: 15] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Yu H, Zheng D, Liu Y, Chen S, Wang X, Peng W. Low-Cost Self-Calibration Data Glove Based on Space-Division Multiplexed Flexible Optical Fiber Sensor. Polymers 2022;14:3935. [DOI: 10.3390/polym14193935] [Reference Citation Analysis]
2 Llamas-Ramos R, Sánchez-González JL, Llamas-Ramos I. Robotic Systems for the Physiotherapy Treatment of Children with Cerebral Palsy: A Systematic Review. Int J Environ Res Public Health 2022;19:5116. [PMID: 35564511 DOI: 10.3390/ijerph19095116] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Olaye IM, Belovsky MP, Bataille L, Cheng R, Ciger A, Fortuna KL, Izmailova ES, Mccall D, Miller CJ, Muehlhausen W, Northcott CA, Rodriguez-chavez IR, Pratap A, Vandendriessche B, Zisman-ilani Y, Bakker JP. Recommendations for Defining and Reporting Adherence Measured by Biometric Monitoring Technologies: Systematic Review. J Med Internet Res 2022;24:e33537. [DOI: 10.2196/33537] [Reference Citation Analysis]
4 Chrif F, van Hedel HJA, Vivian M, Nef T, Hunt KJ. Usability evaluation of an interactive leg press training robot for children with neuromuscular impairments. Technol Health Care 2022. [PMID: 35342069 DOI: 10.3233/THC-213629] [Reference Citation Analysis]
5 Iosa M, Verrelli CM, Gentile AE, Ruggieri M, Polizzi A. Gaming Technology for Pediatric Neurorehabilitation: A Systematic Review. Front Pediatr 2022;10:775356. [DOI: 10.3389/fped.2022.775356] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Parmar ST, Kanitkar A, Sepehri N, Bhairannawar S, Szturm T. Computer Game-Based Telerehabilitation Platform Targeting Manual Dexterity: Exercise Is Fun. "You Are Kidding-Right?". Sensors (Basel) 2021;21:5766. [PMID: 34502656 DOI: 10.3390/s21175766] [Reference Citation Analysis]
7 Graser JV, Bastiaenen CHG, Gut A, Keller U, van Hedel HJA. Contextual interference in children with brain lesions: a pilot study investigating blocked vs. random practice order of an upper limb robotic exergame. Pilot Feasibility Stud 2021;7:135. [PMID: 34172085 DOI: 10.1186/s40814-021-00866-4] [Reference Citation Analysis]
8 Phelan I, Furness PJ, Dunn HD, Carrion-Plaza A, Matsangidou M, Dimitri P, Lindley S. Immersive virtual reality in children with upper limb injuries: Findings from a feasibility study. J Pediatr Rehabil Med 2021. [PMID: 34151871 DOI: 10.3233/PRM-190635] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
9 Kirton A, Metzler MJ, Craig BT, Hilderley A, Dunbar M, Giuffre A, Wrightson J, Zewdie E, Carlson HL. Perinatal stroke: mapping and modulating developmental plasticity. Nat Rev Neurol 2021;17:415-32. [PMID: 34127850 DOI: 10.1038/s41582-021-00503-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 8] [Article Influence: 1.0] [Reference Citation Analysis]
10 Kanitkar A, Parmar ST, Szturm TJ, Restall G, Rempel G, Naik N, Gaonkar N, Sepehri N, Ankolekar B. Reliability and validity of a computer game-based tool of upper extremity assessment for object manipulation tasks in children with cerebral palsy. J Rehabil Assist Technol Eng 2021;8:20556683211014023. [PMID: 34123406 DOI: 10.1177/20556683211014023] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Kanitkar A, Parmar ST, Szturm TJ, Restall G, Rempel G, Sepehri N. Parents' Perspectives on a Computer Game-Assisted Rehabilitation Program for Manual Dexterity in Children With Cerebral Palsy: Qualitative Analysis of Expectations, Child Engagement, and Benefits. JMIR Rehabil Assist Technol 2021;8:e24337. [PMID: 34057424 DOI: 10.2196/24337] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
12 Li Y, Zheng C, Liu S, Huang L, Fang T, Li JX, Xu F, Li F. Smart Glove Integrated with Tunable MWNTs/PDMS Fibers Made of a One-Step Extrusion Method for Finger Dexterity, Gesture, and Temperature Recognition. ACS Appl Mater Interfaces 2020;12:23764-73. [DOI: 10.1021/acsami.0c08114] [Cited by in Crossref: 14] [Cited by in F6Publishing: 19] [Article Influence: 7.0] [Reference Citation Analysis]
13 Khanna M, Gowda GS, Bagevadi VI, Gupta A, Kulkarni K, S Shyam RP, Basavaraju V, Ramesh MB, Sashidhara HN, Manjunatha N, Channaveerachari NK, Math SB. Feasibility and Utility of Tele-Neurorehabilitation Service in India: Experience from a Quaternary Center. J Neurosci Rural Pract 2018;9:541-4. [PMID: 30271047 DOI: 10.4103/jnrp.jnrp_104_18] [Cited by in Crossref: 9] [Cited by in F6Publishing: 15] [Article Influence: 3.0] [Reference Citation Analysis]
14 Lord C, Rapley T, Marcroft C, Pearse J, Basu A. Determinants of parent-delivered therapy interventions in children with cerebral palsy: A qualitative synthesis and checklist. Child Care Health Dev 2018;44:659-69. [PMID: 30033521 DOI: 10.1111/cch.12592] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 3.8] [Reference Citation Analysis]
15 Proença JP, Quaresma C, Vieira P. Serious games for upper limb rehabilitation: a systematic review. Disabil Rehabil Assist Technol 2018;13:95-100. [PMID: 28359181 DOI: 10.1080/17483107.2017.1290702] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 2.4] [Reference Citation Analysis]