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Related Experiment Videos

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

Michelle J Johnson1, H F Machiel Van der Loos, Charles G Burgar

  • 1Department of Physical Medicine and Rehabilitation, Medical College of Wisconsin, Milwaukee, WI 53226, USA. mjjohnso@mail.mcw.edu

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|October 5, 2005
PubMed
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This study found that robot-assisted therapy using force-feedback cues in a driving simulator helped stroke survivors use their impaired arm more effectively. This approach reduced overuse of the less-affected arm during therapy.

Area of Science:

  • Rehabilitation Medicine
  • Robotics in Healthcare
  • Neuroscience

Background:

  • Stroke is a primary cause of adult disability in the US.
  • Learned nonuse limits hemiplegic survivors' arm function in daily activities.
  • Robot-assisted therapy offers novel approaches to address motor deficits.

Purpose of the Study:

  • To investigate if force-feedback cues in a driving simulator (SEAT) can increase impaired arm use in hemiplegic stroke survivors.
  • To reduce overuse of the less-affected arm during bilateral tasks.
  • To explore the motivational effects of feedback in robot-assisted therapy.

Main Methods:

  • Developed a robot-assisted therapy device, the driver's simulation environment for arm therapy (SEAT).
  • Embedded active force-feedback cues to restrain the less-affected arm.

Related Experiment Videos

  • Quantified impaired arm activity using torques from steering wheel forces and surface electromyograms.

    • Main Results:

    • Force-feedback cues counteracted counter-productive torques in hemiplegic subjects during bilateral steering (p < 0.05).
    • This effect was significant when the impaired arm moved against gravity.
    • Electromyograms confirmed changes in muscle activity in the impaired arm.

    Conclusions:

    • Force-feedback control in the SEAT system effectively promotes increased use of the impaired arm.
    • Robot-assisted driving simulation can be a viable tool for stroke rehabilitation.
    • Targeted force cues can mitigate learned nonuse patterns in stroke survivors.