• DocumentCode
    2954094
  • Title

    An intention driven hand functions task training robotic system

  • Author

    Tong, K.Y. ; Ho, S.K. ; Pang, P.M.K. ; Hu, X.L. ; Tam, W.K. ; Fung, K.L. ; Wei, X.J. ; Chen, P.N. ; Chen, M.

  • Author_Institution
    Dept. of Health Technol. & Inf., Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    3406
  • Lastpage
    3409
  • Abstract
    A novel design of a hand functions task training robotic system was developed for the stroke rehabilitation. It detects the intention of hand opening or hand closing from the stroke person using the electromyography (EMG) signals measured from the hemiplegic side. This training system consists of an embedded controller and a robotic hand module. Each hand robot has 5 individual finger assemblies capable to drive 2 degrees of freedom (DOFs) of each finger at the same time. Powered by the linear actuator, the finger assembly achieves 55 degree range of motion (ROM) at the metacarpophalangeal (MCP) joint and 65 degree range of motion (ROM) at the proximal interphalangeal (PIP) joint. Each finger assembly can also be adjusted to fit for different finger length. With this task training system, stroke subject can open and close their impaired hand using their own intention to carry out some of the daily living tasks.
  • Keywords
    dexterous manipulators; electromyography; handicapped aids; medical robotics; patient rehabilitation; EMG; electromyography; embedded controller; metacarpophalangeal joint; proximal interphalangeal; range of motion; stroke; stroke rehabilitation; task training robotic system; Actuators; Assembly; Electromyography; Fingers; Robot kinematics; Training; Equipment Design; Equipment Failure Analysis; Hand; Humans; Orthotic Devices; Physical Therapy Modalities; Robotics; Stroke; Therapy, Computer-Assisted; Transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627930
  • Filename
    5627930