• DocumentCode
    1161873
  • Title

    Experimental results using force-feedback cueing in robot-assisted stroke therapy

  • Author

    Johnson, Michelle J. ; Van der Loos, H. F Machiel ; Burgar, Charles G. ; Shor, Peggy ; Leifer, Larry J.

  • Author_Institution
    Dept. of Phys. Med. & Rehabilitation, Med. Coll. of Wisconsin, Milwaukee, WI, USA
  • Volume
    13
  • Issue
    3
  • fYear
    2005
  • Firstpage
    335
  • Lastpage
    348
  • Abstract
    Stroke is the leading cause of disability among adults in the United States. Behaviors such as learned nonuse hinder hemiplegic stroke survivors from the full use of both arms in activities of daily living. Active force-feedback cues, designed to restrain the use of the less-affected arm, were embedded into a meaningful driving simulation environment to create robot-assisted therapy device, driver\´s simulation environment for arm therapy (SEAT). The study hypothesized that force-feedback control mode could "motivate" stroke survivors to increase the productive use of their impaired arm throughout a bilateral steering task, by providing motivating feedback and reinforcement cues to reduce the overuse of the less-affected arm. Experimental results demonstrate that the force cues counteracted the tendency of hemiplegic subjects to produce counter-productive torques only during bilateral steering tasks (p<0.05) that required the movement of their impaired arm in steering directions up and against gravity. Impaired arm activity was quantified in terms of torques due to the measured tangential forces on the split-steering wheel of driver\´s SEAT during bilateral steering. Results were verified using surface electromyograms recorded from key muscles in the impaired arm.
  • Keywords
    biomechanics; electromyography; force feedback; handicapped aids; medical robotics; patient rehabilitation; active force-feedback cueing; arm therapy; bilateral steering task; counter-productive torques; hemiplegic stroke survivors; learned nonuse; muscles; robot-assisted stroke therapy; surface electromyograms; Arm; Force control; Force feedback; Force measurement; Gravity; Medical treatment; Muscles; Robots; Torque measurement; Wheels; Constraint-induced movement therapy; hemiplegia; rehabilitation; robotics; stroke; Aged; Aged, 80 and over; Automobile Driving; Chronic Disease; Cues; Diagnosis, Computer-Assisted; Feedback; Female; Humans; Male; Middle Aged; Motion Therapy, Continuous Passive; Motor Skills; Muscle Contraction; Muscle, Skeletal; Paresis; Physical Examination; Physical Stimulation; Robotics; Stress, Mechanical; Stroke; Therapy, Computer-Assisted; Treatment Outcome; Upper Extremity; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2005.850428
  • Filename
    1506820