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Updated: Mar 23, 2026

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Comprehensive non-dimensional normalization of gait data.

Ornella Pinzone¹, Michael H Schwartz², Richard Baker¹

¹University of Salford, UK.

|March 24, 2016

Summary

This summary is machine-generated.

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Non-dimensional normalization is more effective than conventional methods for gait analysis in children. This approach better reduces variability from height, weight, and age across various gait parameters.

Area of Science:

Biomechanics
Pediatric Gait Analysis

Background:

Clinical gait analysis data requires normalization to account for physical variations like leg length and weight, especially in children where these correlate with age.
Conventional normalization methods often rely solely on mass, while non-dimensional normalization offers a stronger biomechanical basis.

Purpose of the Study:

To compare the effectiveness of conventional (mass-based) versus non-dimensional normalization techniques in reducing variability in pediatric gait analysis.
To evaluate the performance of both normalization schemes across a broad spectrum of temporal-spatial and kinetic gait parameters.

Main Methods:

Utilized data from 82 typically developing children.
Calculated coefficients of determination between normalized gait parameters and leg length, weight, and height for both normalization methods.

Keywords:

Gait Kinetics Normal data Normalization

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Main Results:

81% of conventionally normalized parameters showed a statistically significant association (p<0.05) with physical characteristics, compared to 23% of non-dimensionally normalized parameters.
Conventionally normalized parameters that met the significance threshold demonstrated a reduced association after non-dimensional normalization.

Conclusions:

Non-dimensional normalization is superior to conventional normalization for reducing the influence of height, weight, and age in pediatric gait analysis.
This improved normalization is effective across a comprehensive range of temporal-spatial and kinetic gait parameters.