161 related articles for article (PubMed ID: 37849981)
1. A rehabilitation robot control framework with adaptation of training tasks and robotic assistance.
Xu J; Huang K; Zhang T; Cao K; Ji A; Xu L; Li Y
Front Bioeng Biotechnol; 2023; 11():1244550. PubMed ID: 37849981
[TBL] [Abstract][Full Text] [Related]
2. Patient's Healthy-Limb Motion Characteristic-Based Assist-As-Needed Control Strategy for Upper-Limb Rehabilitation Robots.
Guo B; Li Z; Huang M; Li X; Han J
Sensors (Basel); 2024 Mar; 24(7):. PubMed ID: 38610293
[TBL] [Abstract][Full Text] [Related]
3. Human-robot cooperative movement training: learning a novel sensory motor transformation during walking with robotic assistance-as-needed.
Emken JL; Benitez R; Reinkensmeyer DJ
J Neuroeng Rehabil; 2007 Mar; 4():8. PubMed ID: 17391527
[TBL] [Abstract][Full Text] [Related]
4. A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation.
Luo L; Peng L; Wang C; Hou ZG
IEEE Trans Neural Netw Learn Syst; 2019 Nov; 30(11):3433-3443. PubMed ID: 30736008
[TBL] [Abstract][Full Text] [Related]
5. Voluntary Assist-as-Needed Controller for an Ankle Power-Assist Rehabilitation Robot.
Yang R; Shen Z; Lyu Y; Zhuang Y; Li L; Song R
IEEE Trans Biomed Eng; 2023 Jun; 70(6):1795-1803. PubMed ID: 37015472
[TBL] [Abstract][Full Text] [Related]
6. Development and Electromyographic Validation of a Compliant Human-Robot Interaction Controller for Cooperative and Personalized Neurorehabilitation.
Dalla Gasperina S; Longatelli V; Braghin F; Pedrocchi A; Gandolla M
Front Neurorobot; 2021; 15():734130. PubMed ID: 35115915
[TBL] [Abstract][Full Text] [Related]
7. [Research on assist-as-needed control strategy of wrist function-rehabilitation robot].
Wang J; Zuo G; Zhang J; Shi C; Song T; Guo S
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Feb; 37(1):129-135. PubMed ID: 32096386
[TBL] [Abstract][Full Text] [Related]
8. Taking a lesson from patients' recovery strategies to optimize training during robot-aided rehabilitation.
Colombo R; Sterpi I; Mazzone A; Delconte C; Pisano F
IEEE Trans Neural Syst Rehabil Eng; 2012 May; 20(3):276-85. PubMed ID: 22623406
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Fuzzy Adaptive Passive Control Strategy Design for Upper-Limb End-Effector Rehabilitation Robot.
Hu Y; Meng J; Li G; Zhao D; Feng G; Zuo G; Liu Y; Zhang J; Shi C
Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112385
[TBL] [Abstract][Full Text] [Related]
11. Closed-Loop Task Difficulty Adaptation during Virtual Reality Reach-to-Grasp Training Assisted with an Exoskeleton for Stroke Rehabilitation.
Grimm F; Naros G; Gharabaghi A
Front Neurosci; 2016; 10():518. PubMed ID: 27895550
[TBL] [Abstract][Full Text] [Related]
12. The effects of robotic assistance on upper limb spatial muscle synergies in healthy people during planar upper-limb training.
Cancrini A; Baitelli P; Lavit Nicora M; Malosio M; Pedrocchi A; Scano A
PLoS One; 2022; 17(8):e0272813. PubMed ID: 35939495
[TBL] [Abstract][Full Text] [Related]
13. Effects of Assist-As-Needed Upper Extremity Robotic Therapy after Incomplete Spinal Cord Injury: A Parallel-Group Controlled Trial.
Frullo JM; Elinger J; Pehlivan AU; Fitle K; Nedley K; Francisco GE; Sergi F; O'Malley MK
Front Neurorobot; 2017; 11():26. PubMed ID: 28659784
[TBL] [Abstract][Full Text] [Related]
14. Multi-mode adaptive control strategy for a lower limb rehabilitation robot.
Liang X; Yan Y; Dai S; Guo Z; Li Z; Liu S; Su T
Front Bioeng Biotechnol; 2024; 12():1392599. PubMed ID: 38817926
[TBL] [Abstract][Full Text] [Related]
15. Comparison of three-dimensional, assist-as-needed robotic arm/hand movement training provided with Pneu-WREX to conventional tabletop therapy after chronic stroke.
Reinkensmeyer DJ; Wolbrecht ET; Chan V; Chou C; Cramer SC; Bobrow JE
Am J Phys Med Rehabil; 2012 Nov; 91(11 Suppl 3):S232-41. PubMed ID: 23080039
[TBL] [Abstract][Full Text] [Related]
16. Hybrid Robotic and Electrical Stimulation Assistance Can Enhance Performance and Reduce Mental Demand.
Cazenave L; Einenkel M; Yurkewich A; Endo S; Hirche S; Burdet E
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4063-4072. PubMed ID: 37815973
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. [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]
19. Trajectory Deformation-Based Multi-Modal Adaptive Compliance Control for a Wearable Lower Limb Rehabilitation Robot.
Zhou J; Peng H; Zheng M; Wei Z; Fan T; Song R
IEEE Trans Neural Syst Rehabil Eng; 2024; 32():314-324. PubMed ID: 38165796
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of upper extremity robot-assistances in subacute and chronic stroke subjects.
Ziherl J; Novak D; Olenšek A; Mihelj M; Munih M
J Neuroeng Rehabil; 2010 Oct; 7():52. PubMed ID: 20955566
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
