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Related Concept Videos

Motor Unit Stimulation01:20

Motor Unit Stimulation

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When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
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Related Experiment Video

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A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients
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Combined user-driven treadmill control and functional electrical stimulation increases walking speeds poststroke.

Nicole T Ray1, Darcy S Reisman2, Jill S Higginson3

  • 1Mechanical Engineering, University of Delaware, Newark, DE, USA.

Journal of Biomechanics
|June 14, 2021
PubMed
Summary

This study introduces a user-driven treadmill (UDTM) control algorithm combined with functional electrical stimulation (FES) for post-stroke gait rehabilitation. This approach enables individuals to increase walking speed quickly, offering a promising new training method.

Keywords:
Anterior ground reaction forceSelf-paced treadmill controlSpeedStrokeTrailing limb angleUser-driven treadmill control

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Area of Science:

  • Neurorehabilitation
  • Biomechanics
  • Assistive Technology

Background:

  • Post-stroke impairments require adaptive, subject-specific locomotor rehabilitation strategies.
  • Treadmill-based gait training is a common rehabilitation method.
  • Existing methods often lack real-time, individualized speed adjustments.

Purpose of the Study:

  • To develop and evaluate a user-driven treadmill (UDTM) control algorithm for adaptive gait training.
  • To investigate the combined effect of UDTM control and functional electrical stimulation (FES) on post-stroke walking.
  • To assess the impact on walking speed and biomechanical parameters in individuals post-stroke.

Main Methods:

  • Developed a UDTM control algorithm for real-time speed adjustment.
  • Recruited 16 individuals post-stroke for a randomized walking task study.
  • Compared four conditions: fixed-speed treadmill control (FSTM) alone, FSTM with FES, UDTM control alone, and UDTM with FES.

Main Results:

  • Participants achieved 0.13 m/s faster self-selected walking speeds with UDTM control and FES compared to FSTM control alone.
  • This speed increase is comparable to gains seen after 12 weeks of conventional training.
  • No significant differences were observed in push-off forces or trailing limb position between conditions.

Conclusions:

  • The combination of UDTM control and FES allows individuals post-stroke to rapidly increase walking speed.
  • This adaptive approach may enhance post-stroke gait training programs.
  • Individual variability in compensatory strategies might influence group-level biomechanical findings.