• DocumentCode
    758612
  • Title

    Automating Arm Movement Training Following Severe Stroke: Functional Exercises With Quantitative Feedback in a Gravity-Reduced Environment

  • Author

    Sanchez, Robert J. ; Liu, Jiayin ; Rao, Sandhya ; Shah, Punit ; Smith, Robert ; Rahman, Tariq ; Cramer, Steven C. ; Bobrow, James E. ; Reinkensmeyer, David J.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., California Univ., Irvine, CA
  • Volume
    14
  • Issue
    3
  • fYear
    2006
  • Firstpage
    378
  • Lastpage
    389
  • Abstract
    An important goal in rehabilitation engineering is to develop technology that allows individuals with severe motor impairment to practice arm movement without continuous supervision from a rehabilitation therapist. This paper describes the development of such a system, called Therapy WREX or ("T-WREX"). The system consists of an orthosis that assists in arm movement across a large workspace, a grip sensor that detects hand grip pressure, and software that simulates functional activities. The arm orthosis is an instrumented, adult-sized version of the Wilmington Robotic Exoskeleton (WREX), which is a five degrees-of-freedom mechanism that passively counterbalances the weight of the arm using elastic bands. After providing a detailed design description of T-WREX, this paper describes two pilot studies of the system\´s capabilities. The first study demonstrated that individuals with chronic stroke whose arm function is compromised in a normal gravity environment can perform reaching and drawing movements while using T-WREX. The second study demonstrated that exercising the affected arm of five people with chronic stroke with T-WREX over an eight week period improved unassisted movement ability (mean change in Fugl-Meyer score was 5 points plusmn2 SD; mean change in range of motion of reaching was 10%, p<0.001). These results demonstrate the feasibility of automating upper-extremity rehabilitation therapy for people with severe stroke using passive gravity assistance, a grip sensor, and simple virtual reality software
  • Keywords
    biomechanics; feedback; medical robotics; orthotics; patient rehabilitation; pressure sensors; Therapy WREX; Wilmington robotic exoskeleton; arm movement training; chronic stroke; drawing movements; functional exercises; gravity-reduced environment; grip sensor; hand grip pressure; orthosis; passive gravity assistance; quantitative feedback; reaching movements; rehabilitation engineering; severe motor impairment; severe stroke; upper-extremity rehabilitation therapy; virtual reality software; Exoskeletons; Feedback; Gravity; Instruments; Medical treatment; Rehabilitation robotics; Robot sensing systems; Robotics and automation; Sensor systems; Virtual reality; Arm; motor control; movement; rehabilitation; stroke; telerehabilitation; Adult; Aged; Arm; Biofeedback (Psychology); Exercise Therapy; Female; Humans; Male; Middle Aged; Motion Therapy, Continuous Passive; Paresis; Physical Stimulation; Robotics; Stroke; Telemedicine; Therapy, Computer-Assisted; User-Computer Interface; Weightlessness Simulation;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2006.881553
  • Filename
    1703570