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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
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RELIABILITY OF TWO-DIMENSIONAL VIDEO-BASED RUNNING GAIT ANALYSIS.

Mark F Reinking1, Leigh Dugan1, Nolan Ripple1

  • 1Rueckert-Hartman College of Health Professions, School of Physical Therapy, Regis University, Denver, CO, USA.

International Journal of Sports Physical Therapy
|July 25, 2018
PubMed
Summary

This study found that two-dimensional (2D) video running analysis shows higher reliability for sagittal plane variables than frontal plane variables. Clinical experience did not impact the consistency of repeated running analyses.

Keywords:
Gait analysisinterraterintra-raterreliabilityrunning assessment

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Area of Science:

  • Biomechanics
  • Sports Medicine
  • Clinical Analysis

Background:

  • Two-dimensional (2D) video analysis is common in clinical running assessments.
  • The reliability of quantitative measurements and the impact of clinical experience are not well-understood.

Purpose of the Study:

  • To evaluate the intra-rater and inter-rater reliability of 2D video analysis for running kinematics.
  • To assess sagittal (SAG) and frontal (FRT) plane variables using six raters with varying experience levels.

Main Methods:

  • A cross-sectional study involving 10 individuals analyzed via 2D video.
  • Six raters (two experienced, four inexperienced) performed repeated analyses of running videos.
  • Intraclass correlation coefficients (ICC) and standard error of the measurement (SEM) were used to assess reliability.

Main Results:

  • Intra- and inter-rater reliability for SAG variables were generally high across all raters.
  • Reliability for FRT variables showed more variability, with some lower ICC values.
  • Clinical experience did not significantly influence the consistency of repeated measurements.

Conclusions:

  • 2D video analysis demonstrates higher reliability for sagittal plane running variables compared to frontal plane variables.
  • Rater experience is not a significant factor in achieving consistent results for repeated running analyses.