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Patterns of relations between lower limb angle excursions during normal gait.
E M Laassel1, P Loslever, J C Angue
1Laboratoire d'Automatique Industrielle et Humaine, Université de Valenciennes et du Hainaut Cambresis, France.
Journal of Biomedical Engineering
|July 1, 1992
Summary
This study analyzed limb angles during normal gait, identifying key measurements that differentiate walking patterns. Results show femur and knee angles are correlated, with sex and height influencing gait characteristics.
Area of Science:
- Biomechanics
- Human Movement Analysis
- Gait Analysis
Background:
- Understanding normal gait is crucial for diagnosing movement disorders.
- Kinematic analysis provides objective data on joint motion during locomotion.
- Morphological parameters can influence biomechanical function.
Purpose of the Study:
- To analyze kinematic data of limb angles during normal gait.
- To identify key parameters characterizing a walking cycle.
- To explore relationships between kinematic and morphological data in gait.
Main Methods:
- Data collected using the System of Gestual Automatic 3D Analysis at 50 Hz.
- Factor analysis applied to identify informative kinematic variables.
- Analysis of both angle and morphological parameters from 35 subjects.
Main Results:
- A walking cycle can be characterized by 25 values, with eight key measurements preserved.
- Four distinct gait patterns were identified in healthy subjects.
- Femur and knee angles demonstrated strong correlation; ankle angles showed less correlation with femur and knee.
Conclusions:
- Specific kinematic measurements effectively differentiate gait patterns.
- Sex and height significantly influence gait characteristics when analyzed with kinematic data.
- The study provides a refined method for gait analysis using kinematic and morphological data.