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Task-specific ankle robotics gait training after stroke: a randomized pilot study.

Larry W Forrester1, Anindo Roy2, Charlene Hafer-Macko3

  • 1Maryland Exercise & Robotics Center of Excellence, Veterans Affairs Maryland Health Care System, Geriatrics Research, Education, and Clinical Center, Veterans Affairs Medical Center, Baltimore, MD, USA.

Journal of Neuroengineering and Rehabilitation
|June 4, 2016
PubMed
Summary
This summary is machine-generated.

Treadmill-integrated ankle robotics significantly improved post-stroke gait function, reversing foot drop and enhancing walking propulsion. This task-specific approach may reduce the need for assistive devices in chronic stroke patients.

Keywords:
Hemiparetic gaitLocomotor trainingRoboticsStrokeTask-specific training

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Area of Science:

  • Neuroscience
  • Rehabilitation Engineering
  • Biomechanics

Background:

  • Gait impairment is a significant challenge for post-stroke patients, impacting mobility and fall risk.
  • The paretic ankle plays a crucial role in gait stability but is difficult to target therapeutically.
  • Current rehabilitation strategies often struggle to effectively address isolated joint impairments.

Purpose of the Study:

  • To compare the effectiveness of treadmill-integrated ankle robotics versus seated ankle robotics for improving gait function in chronic stroke survivors.
  • To investigate whether a task-specific approach using robotics enhances gait recovery compared to targeting individual joint impairments.

Main Methods:

  • Randomized controlled trial involving participants with chronic hemiparetic gait.
  • Six weeks of either treadmill-integrated ankle robotics or dose-matched seated ankle robotics videogame training.
  • Gait measures assessed at baseline, post-training, and six-week retention, with statistical analysis using Friedman, Wilcoxon Sign Rank, and Fisher's exact tests.

Main Results:

  • Treadmill robotics significantly increased walking velocity, paretic single support, push-off impulse, and active dorsiflexion range of motion compared to seated robotics.
  • Treadmill robotics led to durable improvements in gait, including reduced reliance on ankle braces and increased unassisted heel-first foot contact.
  • Seated robotics showed no significant change in assistive device usage or key gait parameters.

Conclusions:

  • Treadmill-integrated ankle robotics training durably improves gait biomechanics in chronic stroke, effectively reversing foot drop and restoring propulsion.
  • This task-specific robotic approach enhances mobility recovery and may reduce the need for assistive devices.
  • Integrating adaptive ankle robotics with locomotor training offers a promising strategy for optimizing gait rehabilitation in stroke survivors.