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Related Experiment Videos

A shockwave approach for web-based clinical motion analysis.

Edward Lemaire1

  • 1Faculty of Medicine, University of Ottawa, and Institute for Rehabilitation Research and Development, The Rehabilitation Centre, Ottawa, Ontario, Canada. elemaire@ottawahospital.on.ca

Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association
|April 24, 2004
PubMed
Summary

Web-based motion analysis software enables quantitative clinical gait analysis. This tool accurately measures joint angles, distances, and speeds from video clips, aiding clinical decision-making.

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Area of Science:

  • Biomedical Engineering
  • Clinical Biomechanics
  • Digital Health

Background:

  • Advancements in internet connectivity and multimedia computing facilitate integrating motion analysis into clinical settings.
  • The Macromedia Shockwave environment enables the creation of interactive, media-rich software for web browsers.

Purpose of the Study:

  • To develop and evaluate web-based clinical motion analysis software using Macromedia Shockwave.
  • To assess the accuracy and utility of the software for quantitative gait analysis.

Main Methods:

  • Developed clinical motion analysis software using Shockwave, capable of loading video clips, measuring joint angles, distances, and velocities.
  • Tested the software by analyzing six video clips (prosthesis and metal square), comparing measurements against established methods.

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  • Required installation of Shockwave and Quicktime plug-ins for browser-based execution via a web page hyperlink.

    • Main Results:

    • Achieved average root mean square errors of 2.0 degrees for angle measures and 1.2 cm for length measures.
    • Stride length standard deviation was 4.6 cm (mean 212.1 cm), and walking speed standard deviation was 0.015 m/s (mean 1.15 m/s).
    • Test results demonstrated consistency with video motion analysis and were within acceptable clinical design-making ranges.

    Conclusions:

    • The developed web-based motion analysis tool provides a practical and ubiquitous solution for quantitative clinical gait analysis.
    • The software's accuracy and ease of use make it a valuable asset for healthcare professionals.
    • This approach supports evidence-based clinical decision-making through accessible, objective motion data.