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Cited by in F6Publishing
For: Sconza C, Negrini F, Di Matteo B, Borboni A, Boccia G, Petrikonis I, Stankevičius E, Casale R. Robot-Assisted Gait Training in Patients with Multiple Sclerosis: A Randomized Controlled Crossover Trial. Medicina (Kaunas) 2021;57:713. [PMID: 34356994 DOI: 10.3390/medicina57070713] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 den Brave M, Beaudart C, de Noordhout BM, Gillot V, Kaux JF. Effect of robot-assisted gait training on quality of life and depression in neurological impairment: A systematic review and meta-analysis. Clin Rehabil 2023;:2692155231152567. [PMID: 36683416 DOI: 10.1177/02692155231152567] [Reference Citation Analysis]
2 Pérez-robledo F, Mendes AS, Bermejo-gil BM, Blas HSS, Murciego ÁL, Santana JFDP. 4D-Trainer: A Platform for Balance Trainning. Advances in Intelligent Systems and Computing 2023. [DOI: 10.1007/978-3-031-14859-0_32] [Reference Citation Analysis]
3 Cai L, Liu Y, Wei Z, Liang H, Liu Y, Cui M. Robot‐assisted rehabilitation training improves knee function and daily activity ability in older adults following total knee arthroplasty. Research in Nursing & Health 2022. [DOI: 10.1002/nur.22290] [Reference Citation Analysis]
4 Binshalan T, Nair KPS, Mcneill A, Bertolotto A. The Effectiveness of Physiotherapy Interventions for Mobility in Severe Multiple Sclerosis: A Systematic Review and Meta-Analysis. Multiple Sclerosis International 2022;2022:1-15. [DOI: 10.1155/2022/2357785] [Reference Citation Analysis]
5 Calabrò RS. Exoskeletons in MS rehabilitation are ready for widespread use in clinical practice: Yes. Mult Scler. [DOI: 10.1177/13524585221096754] [Reference Citation Analysis]
6 Han Y, Liu C, Zhang B, Zhang N, Wang S, Han M, Ferreira JP, Liu T, Zhang X. Measurement, Evaluation, and Control of Active Intelligent Gait Training Systems—Analysis of the Current State of the Art. Electronics 2022;11:1633. [DOI: 10.3390/electronics11101633] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Pérez-de la Cruz S. Use of Robotic Devices for Gait Training in Patients Diagnosed with Multiple Sclerosis: Current State of the Art. Sensors 2022;22:2580. [DOI: 10.3390/s22072580] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Ryabov S, Boyko A, Belayeva I, Pehova Y, Rachin A. Medical rehabilitation of gait disorders in multiple sclerosis. Z nevrol psikhiatr im S S Korsakova 2022;122:14. [DOI: 10.17116/jnevro202212207214] [Reference Citation Analysis]
9 Karakas H, Seebacher B, Kahraman T. Technology-Based Rehabilitation in People with Multiple Sclerosis: A Narrative Review. jmrs 2021;1:54-58. [DOI: 10.4274/jmsr.galenos.2021.2021-10-3] [Reference Citation Analysis]
10 Wang X, Feng Y, Zhang J, Li Y, Niu J, Yang Y, Wang H. Design and Analysis of a Lower Limb Rehabilitation Training Component for Bedridden Stroke Patients. Machines 2021;9:224. [DOI: 10.3390/machines9100224] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]