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

The computer era in gait analysis

P R Cavanagh1, J D Henley

  • 1Center for Locomotion Studies, Pennsylvania State University, University Park.

Clinics in Podiatric Medicine and Surgery
|July 1, 1993
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

Virtually optimized insoles for offloading the diabetic foot: A randomized crossover study.

Journal of biomechanics·2017
Same author

IWGDF guidance on footwear and offloading interventions to prevent and heal foot ulcers in patients with diabetes.

Diabetes/metabolism research and reviews·2016
Same author

Footwear and offloading interventions to prevent and heal foot ulcers and reduce plantar pressure in patients with diabetes: a systematic review.

Diabetes/metabolism research and reviews·2015
Same author

Relationship between foot placement and mediolateral ground reaction forces during running.

Clinical biomechanics (Bristol, Avon)·2013
Same author

Foot forces during exercise on the International Space Station.

Journal of biomechanics·2010
Same author

Depression predicts first but not recurrent diabetic foot ulcers.

Diabetologia·2010
Same journal

Lesser Toe Pathology: Challenges, Controversies, and Advances.

Clinics in podiatric medicine and surgery·2026
Same journal

Pathology of the Lesser Toes.

Clinics in podiatric medicine and surgery·2026
Same journal

Principles of Lesser Toe and Metatarsophalangeal Joint Reconstruction for Complex and Revision Surgery of the Forefoot.

Clinics in podiatric medicine and surgery·2026
Same journal

Biomechanical Problems Related to Lesser Toes Dysfunction and Amputation.

Clinics in podiatric medicine and surgery·2026
Same journal

Is It Necessary to Repair the Plantar Plate in the Management of Metatarsophalangeal Joint Instability?

Clinics in podiatric medicine and surgery·2026
Same journal

Lesser Metatarsophalangeal Joint Instability: Arthroscopic Treatment Alternatives.

Clinics in podiatric medicine and surgery·2026
See all related articles

This review covers the historical use of computers for human gait analysis, focusing on motion, force, and pressure. It emphasizes validating clinical techniques and anticipates future trends in biomechanics research.

Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Computational Science

Background:

  • The analysis of human gait has evolved significantly over time.
  • Early methods predated the widespread use of computational tools.
  • Understanding gait is crucial for diagnosing and treating various medical conditions.

Purpose of the Study:

  • To provide a historical overview of computer applications in human gait analysis.
  • To discuss the evolution of motion, force, and pressure analysis techniques.
  • To highlight the importance of rigorous validation for clinical gait analysis methods.

Main Methods:

  • Retrospective review of the pre-computer era in gait analysis.
  • Discussion of computational methods for analyzing gait parameters (motion, force, pressure).

Related Experiment Videos

  • Emphasis on the critical evaluation of clinically applied techniques.
  • Main Results:

    • Computers have become indispensable tools in modern gait analysis.
    • Advanced computational techniques allow for detailed quantification of gait parameters.
    • The need for evidence-based justification of clinical gait analysis tools is paramount.

    Conclusions:

    • The integration of computers has revolutionized human gait analysis.
    • Future advancements will likely involve more sophisticated computational models and AI.
    • Clinical application of gait analysis requires validated and reliable computational methods.