141 related articles for article (PubMed ID: 36120745)
1. Spring damping based control for a novel lower limb rehabilitation robot with active flexible training planning.
Hu J; Meng Q; Zhu Y; Zhang X; Wu W; Yu H
Technol Health Care; 2023; 31(2):565-578. PubMed ID: 36120745
[TBL] [Abstract][Full Text] [Related]
2. Design and kinematical performance analysis of the 7-DOF upper-limb exoskeleton toward improving human-robot interface in active and passive movement training.
Meng Q; Fei C; Jiao Z; Xie Q; Dai Y; Fan Y; Shen Z; Yu H
Technol Health Care; 2022; 30(5):1167-1182. PubMed ID: 35342067
[TBL] [Abstract][Full Text] [Related]
3. A Lower Limb Rehabilitation Assistance Training Robot System Driven by an Innovative Pneumatic Artificial Muscle System.
Tsai TC; Chiang MH
Soft Robot; 2023 Feb; 10(1):1-16. PubMed ID: 35196171
[TBL] [Abstract][Full Text] [Related]
4. [Research on mode adjustment control strategy of upper limb rehabilitation robot based on fuzzy recognition of interaction force].
Li G; Tao L; Meng J; Ye S; Feng G; Zhao D; Hu Y; Tang M; Song T; Fu R; Zuo G; Zhang J; Shi C
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2024 Feb; 41(1):90-97. PubMed ID: 38403608
[TBL] [Abstract][Full Text] [Related]
5. Position Based Impedance Control Strategy for a Lower Limb Rehabilitation Robot.
Liang X; Wang W; Hou ZG; Ren S; Wang J; Shi W; Peng L; Su T
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():437-441. PubMed ID: 31945932
[TBL] [Abstract][Full Text] [Related]
6. Combined robot motor assistance with neural circuit-based virtual reality (NeuCir-VR) lower extremity rehabilitation training in patients after stroke: a study protocol for a single-centre randomised controlled trial.
Zhou ZQ; Hua XY; Wu JJ; Xu JJ; Ren M; Shan CL; Xu JG
BMJ Open; 2022 Dec; 12(12):e064926. PubMed ID: 36564112
[TBL] [Abstract][Full Text] [Related]
7. Research on Safety and Compliance of a New Lower Limb Rehabilitation Robot.
Feng Y; Wang H; Yan H; Wang X; Jin Z; Vladareanu L
J Healthc Eng; 2017; 2017():1523068. PubMed ID: 29065571
[TBL] [Abstract][Full Text] [Related]
8. Adaptive Gait Training of a Lower Limb Rehabilitation Robot Based on Human-Robot Interaction Force Measurement.
Yu F; Liu Y; Wu Z; Tan M; Yu J
Cyborg Bionic Syst; 2024; 5():0115. PubMed ID: 38912323
[TBL] [Abstract][Full Text] [Related]
9. A Lower Limb Rehabilitation Robot in Sitting Position with a Review of Training Activities.
Eiammanussakul T; Sangveraphunsiri V
J Healthc Eng; 2018; 2018():1927807. PubMed ID: 29808109
[TBL] [Abstract][Full Text] [Related]
10. Human-Robot Cooperative Strength Training Based on Robust Admittance Control Strategy.
Lin M; Wang H; Yang C; Liu W; Niu J; Vladareanu L
Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298097
[TBL] [Abstract][Full Text] [Related]
11. New Motion Intention Acquisition Method of Lower Limb Rehabilitation Robot Based on Static Torque Sensors.
Feng Y; Wang H; Vladareanu L; Chen Z; Jin D
Sensors (Basel); 2019 Aug; 19(15):. PubMed ID: 31390739
[TBL] [Abstract][Full Text] [Related]
12. Human-robot coupling dynamic modeling and analysis for upper limb rehabilitation robots.
Xie Q; Meng Q; Dai Y; Zeng Q; Fan Y; Yu H
Technol Health Care; 2021; 29(4):709-723. PubMed ID: 33386832
[TBL] [Abstract][Full Text] [Related]
13. Robotics in Lower-Limb Rehabilitation after Stroke.
Zhang X; Yue Z; Wang J
Behav Neurol; 2017; 2017():3731802. PubMed ID: 28659660
[TBL] [Abstract][Full Text] [Related]
14. Detection of Participation and Training Task Difficulty Applied to the Multi-Sensor Systems of Rehabilitation Robots.
Yan H; Wang H; Vladareanu L; Lin M; Vladareanu V; Li Y
Sensors (Basel); 2019 Oct; 19(21):. PubMed ID: 31661870
[TBL] [Abstract][Full Text] [Related]
15. Rehabilitation for hemiplegia using an upper limb training system based on a force direction.
Ogata K; Hirabayashi Y; Kubota K; Hasegawa Y; Tsuji T
IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():533-538. PubMed ID: 28813875
[TBL] [Abstract][Full Text] [Related]
16. sEMG-Based Gain-Tuned Compliance Control for the Lower Limb Rehabilitation Robot during Passive Training.
Tian J; Wang H; Zheng S; Ning Y; Zhang X; Niu J; Vladareanu L
Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298256
[TBL] [Abstract][Full Text] [Related]
17. Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot.
Mancisidor A; Zubizarreta A; Cabanes I; Bengoa P; Jung JH
IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():561-566. PubMed ID: 28813879
[TBL] [Abstract][Full Text] [Related]
18. Design and verification of a human-robot interaction system for upper limb exoskeleton rehabilitation.
Wendong W; Hanhao L; Menghan X; Yang C; Xiaoqing Y; Xing M; Bing Z
Med Eng Phys; 2020 May; 79():19-25. PubMed ID: 32205023
[TBL] [Abstract][Full Text] [Related]
19. Design of a control framework for lower limb exoskeleton rehabilitation robot based on predictive assessment.
Wang Y; Liu Z; Feng Z
Clin Biomech (Bristol, Avon); 2022 May; 95():105660. PubMed ID: 35561659
[TBL] [Abstract][Full Text] [Related]
20. Construction of efficacious gait and upper limb functional interventions based on brain plasticity evidence and model-based measures for stroke patients.
Daly JJ; Ruff RL
ScientificWorldJournal; 2007 Dec; 7():2031-45. PubMed ID: 18167618
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]