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Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
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A Computational Index to Describe Slacking During Robot Therapy.

Davide Piovesan1

  • 1Department of Mechanical Engineering, Gannon University, Erie, Pennsylvania, 16501, USA. piovesan001@gannon.edu.

Advances in Experimental Medicine and Biology
|December 31, 2016
PubMed
Summary
This summary is machine-generated.

Stroke survivors using robot-assisted arm movements showed decreased voluntary control with higher assistive forces. This suggests passive mobilization may hinder motor recovery and movement planning in rehabilitation.

Keywords:
Adaptive controllersAssistiveChallenge-basedDampingDegrees of freedom (DOF)DystoniaManipulandumNeuro-rehabilitationProprioceptionReference trajectoryRehabilitationRigidityViscosity

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Area of Science:

  • Neurorehabilitation
  • Robotics in Medicine
  • Motor Control

Background:

  • Movement facilitation is crucial for stroke survivor rehabilitation.
  • The precise mechanisms, especially the impact of assistance levels, remain unclear.
  • Understanding voluntary control during robotic-assisted movement is essential.

Purpose of the Study:

  • To investigate the effect of varying assistive force levels on voluntary control and movement strategies in stroke survivors.
  • To gain new insights into motor recovery during robot-assisted arm movement training.

Main Methods:

  • Stroke survivors performed reaching tasks with robot-assisted arm movements.
  • Training involved initial and progressively decreasing levels of assistive force.
  • Voluntary control and movement strategies were analyzed during these tasks.

Main Results:

  • Subjects improved performance as training progressed.
  • When executing voluntary movements with lower forces, participants showed reduced voluntary control with higher forces.
  • Movement patterns followed a minimum effort trajectory.

Conclusions:

  • Constant force passive mobilization may negatively impact voluntary control and movement planning in stroke survivors.
  • Tailoring assistive force levels during robot-assisted therapy is crucial for optimizing motor recovery.
  • Findings offer new insights for designing effective stroke rehabilitation strategies.