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Related Experiment Video

Updated: Jul 17, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
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Visual EMG Biofeedback to Improve Ankle Function in Hemiparetic Gait.

E Aiello1, D H Gates, B L Patritti

  • 1Department of Physical Medicine and Rehabilitation, University of Messina, Messina, Italy. Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
Summary

This study enhanced treadmill gait retraining with visual EMG biofeedback for stroke patients. The intervention improved ankle function, leading to better hemiparetic gait and increased walking speed.

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Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability
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Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability

Published on: September 18, 2020

Area of Science:

  • Neurorehabilitation
  • Biomechanics
  • Motor Control

Background:

  • Stroke-induced spasticity impairs lower extremity muscle coordination, causing gait abnormalities.
  • Effective rehabilitation strategies are crucial for restoring functional mobility in stroke survivors.

Purpose of the Study:

  • To enhance treadmill gait retraining for stroke patients by incorporating visual electromyography (EMG) biofeedback.
  • To investigate the effects of this augmented approach on ankle function and overall gait mechanics.

Main Methods:

  • Eight stroke patients with self-selected walking speeds between 0.5 and 0.9 m/s participated.
  • A 12-session program involved treadmill walking with real-time visual display of tibialis anterior and gastrocnemius lateralis muscle activity.
  • Patients were guided by visual targets to optimize muscle activation during walking.

Main Results:

  • Significant improvements in gait function were observed post-intervention.
  • Key findings include increased gait speed, prolonged single-leg support time on the affected side, enhanced ankle power generation during push-off, and a reduced knee extensor moment.

Conclusions:

  • Treadmill gait retraining combined with visual EMG biofeedback is an effective method for improving hemiparetic gait in stroke patients.
  • This approach facilitates better ankle function and contributes to more normalized lower extremity biomechanics during walking.