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

Continuous curve registration as an intertrial gait variability reduction technique.

Heydar Sadeghi1, Pierre A Mathieu, Somayeh Sadeghi

  • 1Research Center, Sainte-Justine Hospital, Montreal, QC, Canada. heidar.sadeghi@umontreal.ca

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|June 12, 2003
PubMed
Summary

Continuous curve registration aligns gait data, reducing variability without changing curve characteristics. This technique improves the analysis of able-bodied gait patterns by minimizing intersubject differences.

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

Correction: Effects of a single session of occupational sitting on neck muscle fatigue and head stabilization strategies during walking at different speeds in sedentary individuals.

European journal of applied physiology·2026
Same author

Frequency of Pulmonary Embolism in Patients with COPD Exacerbation and Clinical and Laboratory Predictive Factors.

Advanced biomedical research·2026
Same author

Identifying predictors of mortality among the hospitalized road traffic injury patients: a retrospective case-control study (2022-2024).

Scientific reports·2026
Same author

Effects of a single session of occupational sitting on neck muscle fatigue and head stabilization strategies during walking at different speeds in sedentary individuals.

European journal of applied physiology·2026
Same author

Pulmonary toxoplasmosis in a multiple myeloma patient: A Case report and literature review.

International journal of molecular and cellular medicine·2026
Same author

Automatic assessment of lung involvement in systemic sclerosis using deep learning.

Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences·2026

Area of Science:

  • Biomechanics
  • Human Movement Analysis

Background:

  • Gait data analysis can be affected by intertrial variability.
  • Averaging gait data may obscure important information due to this variability.
  • Normalization techniques are crucial before statistical analysis of gait patterns.

Purpose of the Study:

  • To evaluate continuous curve registration as a method for reducing intersubject variability in gait data.
  • To assess if curve registration alters original gait curve characteristics.
  • To determine the efficacy of continuous curve registration for gait analysis.

Main Methods:

  • Collected gait data from 20 healthy subjects using a high-speed video system and force plate.
  • Applied continuous curve registration to hip angular displacement, net moment, and power curves.

Related Experiment Videos

  • Analyzed changes in peak values, derivatives, and harmonics before and after registration.

    • Main Results:

    • Continuous curve registration significantly reduced intersubject variability in gait data.
    • Peak values for angular displacement and power showed slight increases post-registration.
    • No significant changes were observed in moments, derivatives, or harmonics, indicating preservation of curve characteristics.

    Conclusions:

    • Continuous curve registration is an effective technique for reducing intersubject variability in gait analysis.
    • The method preserves original curve characteristics, making it suitable for statistical analysis.
    • This alignment technique enhances the reliability of gait pattern analysis in healthy subjects.