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Cited by in F6Publishing
For: Lee HY, Park JH, Kim TW. Comparisons between Locomat and Walkbot robotic gait training regarding balance and lower extremity function among non-ambulatory chronic acquired brain injury survivors. Medicine (Baltimore) 2021;100:e25125. [PMID: 33950915 DOI: 10.1097/MD.0000000000025125] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
Number Citing Articles
1 Nam YG, Ko MJ, Bok SK, Paik NJ, Lim CY, Lee JW, Kwon BS. Efficacy of electromechanical-assisted gait training on clinical walking function and gait symmetry after brain injury of stroke: a randomized controlled trial. Sci Rep 2022;12:6880. [PMID: 35477986 DOI: 10.1038/s41598-022-10889-3] [Reference Citation Analysis]
2 Zhang L, Lin F, Sun L, Chen C. Comparison of Efficacy of Lokomat and Wearable Exoskeleton-Assisted Gait Training in People With Spinal Cord Injury: A Systematic Review and Network Meta-Analysis. Front Neurol 2022;13:772660. [DOI: 10.3389/fneur.2022.772660] [Reference Citation Analysis]
3 Wang X, Liu G, Feng Y, Li W, Niu J, Gan Z. Measurement Method of Human Lower Limb Joint Range of Motion Through Human-Machine Interaction Based on Machine Vision. Front Neurorobot 2021;15:753924. [PMID: 34720913 DOI: 10.3389/fnbot.2021.753924] [Reference Citation Analysis]
4 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: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]