• DocumentCode
    2734637
  • Title

    Exoskeleton for forearm pronation and supination rehabilitation

  • Author

    Andreasen, D.S. ; Aviles, A.A. ; Allen, S.K. ; Guthrie, K.B. ; Jennings, B.R. ; Sprigle, S.H.

  • Author_Institution
    Georgia Tech. Res. Inst., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    2714
  • Lastpage
    2717
  • Abstract
    Loss of function after SCI, ABI or stroke has a marked affect on ones quality of life. Return of function has been a long-standing goal of physical and occupational therapy. Repeated motor practice has been identified as crucial for motor recovery. The development of a robotic device for neuromotor rehabilitation and upper extremity neuromuscular system recovery is described. The actuator mechanism allows free motion when possible, and provides programmable therapeutic levels of resistance. The sensor system allows characterization of the applied forces, and accurate measurement of the range of motion of the joint. The control system provides real time feedback of actuator commands based on sensor data, calibration routines, and operational modes.
  • Keywords
    actuators; bone; brain; medical robotics; muscle; neurophysiology; orthopaedics; orthotics; patient rehabilitation; patient treatment; acquired brain injury; actuator commands; actuator mechanism; control system; exoskeleton; forearm pronation; motor recovery; neuromotor rehabilitation; neuromuscular system recovery; occupational therapy; physical therapy; real time feedback; robotic device; sensor system; spinal cord injury; stroke; supination rehabilitation; Actuators; Electrical resistance measurement; Exoskeletons; Extremities; Medical treatment; Neuromuscular; Rehabilitation robotics; Robot sensing systems; Sensor systems; System recovery; Exoskeleton; Rehabilitation Robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403778
  • Filename
    1403778