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 Video

Updated: May 7, 2026

Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER): A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
06:25

Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER): A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits

Published on: August 12, 2019

Automated event detection algorithms in pathological gait.

Dustin A Bruening1, Sarah Trager Ridge

  • 1Shriners Hospitals for Children, Erie, PA, USA; Wright Patterson Air Force Base, Dayton, OH, USA.

Gait & Posture
|September 18, 2013
PubMed
Summary

Automated gait event detection algorithms perform differently across various gait patterns in pathological populations. Selecting the best kinematic algorithm based on visual gait classification improves accuracy for foot strike and toe-off detection.

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

Variability Among Individual Male Runners Influences Cumulative Loading More Than Foot Strike Type.

Sports health·2025
Same author

Diaphragm Fatigue Does Not Impact Breathing Mechanics or Function in People with Chronic Low Back Pain.

Journal of pain research·2025
Same author

Sticking the landing: A comparison of shod vs barefoot landing kinetics and foot muscle characteristics in gymnasts, cheerleaders, and non-athletes.

PloS one·2024
Same author

Effects of Chronic Pain on Static and Dynamic Postural Control in Chronic Ankle Instability.

Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine·2024
Same author

Relationships Between Running Biomechanics and Femoral Articular Cartilage Thickness and Composition in Anterior Cruciate Ligament Reconstruction Patients.

Scandinavian journal of medicine & science in sports·2024
Same author

New Perspectives on Foot Segment Forces and Joint Kinetics-Integrating Plantar Shear Stresses and Pressures with Multi-segment Foot Modeling.

Annals of biomedical engineering·2024

Area of Science:

  • Biomechanics
  • Gait Analysis
  • Clinical Motion Analysis

Background:

  • Automated event detection enhances instrumented gait analysis efficiency.
  • Existing algorithms show limited testing in pathological populations, especially without reliable force data.

Purpose of the Study:

  • To compare kinematic-based event detection algorithms across diverse pathological gait patterns.
  • To determine if visual gait classification improves algorithm selection and accuracy.

Main Methods:

  • Defined robust gait event criteria for comparison.
  • Applied nine published kinematic algorithms to a pediatric gait database (cerebral palsy focus).
  • Categorized gait into four visual patterns and manually rated over 750 events as a gold standard.
Keywords:
AutomationEvent detectionGait classification or patternGait cycleInstrumented gait analysis

More Related Videos

Applying the RatWalker System for Gait Analysis in a Genetic Rat Model of Parkinson's Disease
04:08

Applying the RatWalker System for Gait Analysis in a Genetic Rat Model of Parkinson's Disease

Published on: January 18, 2021

Related Experiment Videos

Last Updated: May 7, 2026

Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER): A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
06:25

Paw-Print Analysis of Contrast-Enhanced Recordings (PrAnCER): A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits

Published on: August 12, 2019

Applying the RatWalker System for Gait Analysis in a Genetic Rat Model of Parkinson's Disease
04:08

Applying the RatWalker System for Gait Analysis in a Genetic Rat Model of Parkinson's Disease

Published on: January 18, 2021

Main Results:

  • Foot strike detection accuracy varied based on gait pattern and algorithm choice (horizontal vs. vertical swing motion).
  • Algorithms using horizontal position, sagittal plane velocity, or horizontal acceleration were robust for horizontal foot motion.
  • Resultant sagittal velocity or vertical acceleration excelled for vertical foot motion.
  • Horizontal position or resultant sagittal plane velocity were best for toe-off events across all groups.

Conclusions:

  • Algorithm performance is gait-pattern dependent in pathological populations.
  • Visual gait classification aids in selecting the most appropriate kinematic algorithm.
  • A tuned resultant sagittal plane velocity algorithm shows potential for real-time, universal application.