1 |
Kim JN, Shin MY, Chong WS, Yu CH, Kim K. DEVELOPMENT OF RAIL-BASED DYNAMIC REHABILITATION TRAINING SYSTEM CONSIDERING USER’S MOVEMENT. J Mech Med Biol . [DOI: 10.1142/s0219519422400036] [Reference Citation Analysis]
|
2 |
Wang K, Wang Z, Ren W, Yang C, Mumtaz S. Design of Sports Rehabilitation Training System Based on EEMD Algorithm. Computational Intelligence and Neuroscience 2022;2022:1-10. [DOI: 10.1155/2022/9987313] [Reference Citation Analysis]
|
3 |
Tian J, Yuan L, Xiao W, Ran T, Zhang J, He L. Optimal robust control with cooperative game theory for lower limb exoskeleton robot. Nonlinear Dyn. [DOI: 10.1007/s11071-022-07219-7] [Reference Citation Analysis]
|
4 |
Miao MD, Gao XS, Zhao J, Zhao P. Rehabilitation robot following motion control algorithm based on human behavior intention. Appl Intell. [DOI: 10.1007/s10489-022-03823-7] [Reference Citation Analysis]
|
5 |
Hernández I, Yu W, Jin Z. Control of active lower limb prosthesis using human-in-the-loop scheme. Cogent Engineering 2022;9:2067026. [DOI: 10.1080/23311916.2022.2067026] [Reference Citation Analysis]
|
6 |
Wang L, Tian J, Du J, Zheng S, Niu J, Zhang Z, Wu J. A Hybrid Mechanism-Based Robot for End-Traction Lower Limb Rehabilitation: Design, Analysis and Experimental Evaluation. Machines 2022;10:99. [DOI: 10.3390/machines10020099] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
7 |
Wang W, Zhang J, Wang X, Yuan X, Zhang P. Motion intensity modeling and trajectory control of upper limb rehabilitation exoskeleton robot based on multi-modal information. Complex Intell Syst . [DOI: 10.1007/s40747-021-00632-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
8 |
Chen L, Chen C, Ye X, Wang Z, Liu Y, Cao W, Chen S, Wu X. A Portable Waist-Loaded Soft Exosuit for Hip Flexion Assistance with Running. Micromachines 2022;13:157. [DOI: 10.3390/mi13020157] [Reference Citation Analysis]
|