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For: Baud R, Manzoori AR, Ijspeert A, Bouri M. Review of control strategies for lower-limb exoskeletons to assist gait. J Neuroeng Rehabil 2021;18:119. [PMID: 34315499 DOI: 10.1186/s12984-021-00906-3] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
Number Citing Articles
1 Lora-millan JS, Moreno JC, Rocon E. Coordination Between Partial Robotic Exoskeletons and Human Gait: A Comprehensive Review on Control Strategies. Front Bioeng Biotechnol 2022;10:842294. [DOI: 10.3389/fbioe.2022.842294] [Reference Citation Analysis]
2 Borooghani D, Hadi A, Alipour K, Tarvirdizadeh B. Falling Analysis and Examination of Different Novel Strategies for Preserving the Postural Stability of a User Wearing ASR-EXO during Stair Climbing. J Intell Robot Syst 2022;105. [DOI: 10.1007/s10846-022-01629-w] [Reference Citation Analysis]
3 Pană CF, Rădulescu VM, Pătrașcu-pană DM, Petcu (Besnea) FL, Reșceanu IC, Cismaru ȘI, Trășculescu A, Bîzdoacă N. The Impact of COVID on Lower-Limb Exoskeleton Robotic System Patents—A Review. Applied Sciences 2022;12:5393. [DOI: 10.3390/app12115393] [Reference Citation Analysis]
4 Kolaghassi R, Al-hares MK, Marcelli G, Sirlantzis K. Performance of Deep Learning Models in Forecasting Gait Trajectories of Children with Neurological Disorders. Sensors 2022;22:2969. [DOI: 10.3390/s22082969] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Lora-millan JS, Hidalgo AF, Rocon E. An IMUs-Based Extended Kalman Filter to Estimate Gait Lower Limb Sagittal Kinematics for the Control of Wearable Robotic Devices. IEEE Access 2021;9:144540-54. [DOI: 10.1109/access.2021.3122160] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Tijjani I, Kumar S, Boukheddimi M. A Survey on Design and Control of Lower Extremity Exoskeletons for Bipedal Walking. Applied Sciences 2022;12:2395. [DOI: 10.3390/app12052395] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
7 Sun Y, Tang Y, Zheng J, Dong D, Chen X, Bai L. From sensing to control of lower limb exoskeleton: a systematic review. Annual Reviews in Control 2022. [DOI: 10.1016/j.arcontrol.2022.04.003] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Hayami N, Williams HE, Shibagaki K, Vette AH, Suzuki Y, Nakazawa K, Nomura T, Milosevic M. Development and Validation of a Closed-Loop Functional Electrical Stimulation-Based Controller for Gait Rehabilitation Using a Finite State Machine Model. IEEE Trans Neural Syst Rehabil Eng 2022;30:1642-51. [PMID: 35709114 DOI: 10.1109/TNSRE.2022.3183571] [Reference Citation Analysis]
9 Wang S, Zhang B, Yu Z, Yan Y. Differential Soft Sensor-Based Measurement of Interactive Force and Assistive Torque for a Robotic Hip Exoskeleton. Sensors (Basel) 2021;21:6545. [PMID: 34640867 DOI: 10.3390/s21196545] [Reference Citation Analysis]
10 Ma X, Xu J, Fang H, Lv Y, Zhang X. Adaptive Neural Control for Gait Coordination of a Lower Limb Prosthesis. International Journal of Mechanical Sciences 2022;215:106942. [DOI: 10.1016/j.ijmecsci.2021.106942] [Reference Citation Analysis]
11 de Andrade RM, Fabriz Ulhoa PH, Fragoso Dias EA, Filho AB, Vimieiro CBS. Design and testing a highly backdrivable and kinematic compatible magneto-rheological knee exoskeleton. Journal of Intelligent Material Systems and Structures. [DOI: 10.1177/1045389x221117496] [Reference Citation Analysis]
12 Yin K, Jin Y, Du H, Xue Y, Li P, Ma Z. Virtual Neuromuscular Control for Robotic Ankle Exoskeleton Standing Balance. Machines 2022;10:572. [DOI: 10.3390/machines10070572] [Reference Citation Analysis]
13 Ouendi N, Hubaut R, Pelayo S, Anceaux F, Wallard L. The rehabilitation robot: factors influencing its use, advantages and limitations in clinical rehabilitation. Disabil Rehabil Assist Technol 2022;:1-12. [PMID: 35921160 DOI: 10.1080/17483107.2022.2107095] [Reference Citation Analysis]