BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

151 related articles for article (PubMed ID: 38610293)

  • 1. 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]  

  • 2. Human arm joints reconstruction algorithm in rehabilitation therapies assisted by end-effector robotic devices.
    Bertomeu-Motos A; Blanco A; Badesa FJ; Barios JA; Zollo L; Garcia-Aracil N
    J Neuroeng Rehabil; 2018 Feb; 15(1):10. PubMed ID: 29458397
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Design and analysis of a compatible exoskeleton rehabilitation robot system based on upper limb movement mechanism.
    Ning Y; Wang H; Liu Y; Wang Q; Rong Y; Niu J
    Med Biol Eng Comput; 2024 Mar; 62(3):883-899. PubMed ID: 38081953
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. [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]  

  • 6. 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]  

  • 7. Control of wearable motion assist robot for upper limb based on the equilibrium position estimation.
    Mizutani N; Yamane M; Kato N; Yano K; Aoki T; Nishimoto Y; Kobayashi Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():334-7. PubMed ID: 24109692
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effects of an assist-as-needed equipped Tenodesis-Induced-Grip Exoskeleton Robot (TIGER) on upper limb function in patients with chronic stroke.
    Hsu HY; Koh CL; Yang KC; Lin YC; Hsu CH; Su FC; Kuo LC
    J Neuroeng Rehabil; 2024 Jan; 21(1):5. PubMed ID: 38173006
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. SVM-Based Classification of sEMG Signals for Upper-Limb Self-Rehabilitation Training.
    Cai S; Chen Y; Huang S; Wu Y; Zheng H; Li X; Xie L
    Front Neurorobot; 2019; 13():31. PubMed ID: 31214010
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Performance-based robotic assistance during rhythmic arm exercises.
    Leconte P; Ronsse R
    J Neuroeng Rehabil; 2016 Sep; 13(1):82. PubMed ID: 27623806
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and Implementation of an End-Effector Upper Limb Rehabilitation Robot for Hemiplegic Patients with Line and Circle Tracking Training.
    Liu Y; Li C; Ji L; Bi S; Zhang X; Huo J; Ji R
    J Healthc Eng; 2017; 2017():4931217. PubMed ID: 29065614
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robot-assisted training compared with an enhanced upper limb therapy programme and with usual care for upper limb functional limitation after stroke: the RATULS three-group RCT.
    Rodgers H; Bosomworth H; Krebs HI; van Wijck F; Howel D; Wilson N; Finch T; Alvarado N; Ternent L; Fernandez-Garcia C; Aird L; Andole S; Cohen DL; Dawson J; Ford GA; Francis R; Hogg S; Hughes N; Price CI; Turner DL; Vale L; Wilkes S; Shaw L
    Health Technol Assess; 2020 Oct; 24(54):1-232. PubMed ID: 33140719
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [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]  

  • 16. Research on a New Rehabilitation Robot for Balance Disorders.
    Wu J; Liu Y; Zhao J; Jia Z
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():3927-3936. PubMed ID: 37676800
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Customized Trajectory Optimization and Compliant Tracking Control for Passive Upper Limb Rehabilitation.
    Li L; Han J; Li X; Guo B; Wang X
    Sensors (Basel); 2023 Aug; 23(15):. PubMed ID: 37571735
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Robotic gaming prototype for upper limb exercise: Effects of age and embodiment on user preferences and movement.
    Eizicovits D; Edan Y; Tabak I; Levy-Tzedek S
    Restor Neurol Neurosci; 2018; 36(2):261-274. PubMed ID: 29526862
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Modifying upper-limb inter-joint coordination in healthy subjects by training with a robotic exoskeleton.
    Proietti T; Guigon E; Roby-Brami A; Jarrassé N
    J Neuroeng Rehabil; 2017 Jun; 14(1):55. PubMed ID: 28606179
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.