Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Microprocessor-based gait analysis system to retrain Trendelenburg gait.

J S Petrofsky1

  • 1Department of Physical Therapy, Loma Linda University, School of Allied Health, California, USA. jerry-petrofsky@sahp.llu.edu

Medical & Biological Engineering & Computing
|February 24, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Functional electrical exercise: a comprehensive approach for physical conditioning of the spinal cord injured patient.

Orthopedics·2014
Same author

Closed loop control for restoration of movement in paralyzed muscle.

Orthopedics·2014
Same author

An effective method for skin blood flow measurement using local heat combined with electrical stimulation.

Journal of medical engineering & technology·2009
Same author

Heat transfer to deep tissue: the effect of body fat and heating modality.

Journal of medical engineering & technology·2009
Same author

A device for the evaluation of sitting and reach balance in people in wheelchairs and standing.

Journal of medical engineering & technology·2006
Same author

Magnetically coupled balance platform.

Journal of medical engineering & technology·2004
Same journal

A novel SE-ResNet architecture for continuous estimation of wrist and hand movements from HD-sEMG.

Medical & biological engineering & computing·2026
Same journal

Anti-aliasing-enhanced WaveUNet for clinically reliable 12-lead ECG reconstruction from limited 3-lead input.

Medical & biological engineering & computing·2026
Same journal

Deep multi-modal features based spatio-temporal video regression for non-invasive hemoglobin estimation.

Medical & biological engineering & computing·2026
Same journal

Reduced mechanical strength correlates with decreased elastin content in aortic intima-media tissue: association with dissection in human ascending aortas.

Medical & biological engineering & computing·2026
Same journal

How plaque morphology and stenosis severity govern stent-artery interaction and deployment outcomes: a computational study.

Medical & biological engineering & computing·2026
Same journal

Investigating a relation between amyloid beta plaque burden and accumulated neurotoxicity caused by amyloid beta oligomers.

Medical & biological engineering & computing·2026
See all related articles

This study introduces a new gait analysis system using electromyogram (EMG) feedback to retrain Trendelenburg gait. The device effectively reduced hip drop and improved stride length and speed in patients.

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Movement Science

Background:

  • Trendelenburg gait, characterized by hip abductor weakness, leads to contralateral hip drop during the gait cycle.
  • Existing gait analysis methods may lack real-time feedback for targeted muscle retraining.
  • Accurate assessment of gluteus medius muscle activity is crucial for addressing this specific gait abnormality.

Purpose of the Study:

  • To develop and evaluate a microprocessor-based system for retraining Trendelenburg gait.
  • To utilize electromyogram (EMG) feedback for improving gluteus medius muscle activation.
  • To objectively measure the system's impact on gait parameters.

Main Methods:

  • A novel system integrating EMG amplifiers and foot switches was employed.

Related Experiment Videos

  • Audio cues provided real-time feedback to patients for correcting gait deviations.
  • Gait analysis focused on comparing EMG activity between affected and unaffected gluteus medius muscles.

    • Main Results:

    • Trendelenburg gait severity was reduced by an average of 29 degrees.
    • Average stride length increased from 0.32 m to 0.45 m.
    • Gait speed significantly improved, rising from 1.6 km/h to 3.1 km/h.

    Conclusions:

    • The developed gait analysis system is effective in retraining Trendelenburg gait.
    • Real-time EMG feedback can enhance gluteus medius muscle function and improve gait parameters.
    • This technology offers a promising approach for rehabilitation of hip abductor weakness.