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Cited by in F6Publishing
For: Haarman JA, Reenalda J, Buurke JH, van der Kooij H, Rietman JS. The effect of 'device-in-charge' versus 'patient-in-charge' support during robotic gait training on walking ability and balance in chronic stroke survivors: A systematic review. J Rehabil Assist Technol Eng 2016;3:2055668316676785. [PMID: 31186917 DOI: 10.1177/2055668316676785] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
Number Citing Articles
1 Kawashima N, Hasegawa K, Iijima M, Nagami K, Makimura T, Kumon A, Ohtsuki S. Efficacy of Wearable Device Gait Training on Parkinson's Disease: A Randomized Controlled Open-label Pilot Study. Intern Med 2022. [PMID: 35135928 DOI: 10.2169/internalmedicine.8949-21] [Reference Citation Analysis]
2 Boldrini P, Bonaiuti D, Mazzoleni S, Posteraro F. Rehabilitation assisted by robotic and electromechanical devices for people with neurological disabilities: contributions for the preparation of a national conference in Italy. Eur J Phys Rehabil Med 2021;57:458-9. [PMID: 34281336 DOI: 10.23736/S1973-9087.21.07084-2] [Reference Citation Analysis]
3 Trigili E, Crea S, Moise M, Baldoni A, Cempini M, Ercolini G, Marconi D, Posteraro F, Carrozza MC, Vitiello N. Design and Experimental Characterization of a Shoulder-Elbow Exoskeleton With Compliant Joints for Post-Stroke Rehabilitation. IEEE/ASME Trans Mechatron 2019;24:1485-96. [DOI: 10.1109/tmech.2019.2907465] [Cited by in Crossref: 29] [Cited by in F6Publishing: 3] [Article Influence: 9.7] [Reference Citation Analysis]