A New Approach for Quantitative Analysis of Inter-Joint Coordination During Gait

A new method for quantitative analysis of interjoint coordination at various walking speeds is presented. The model imposed a parametric relationship among lower limb joint motions (hips and knees) using the least number of parameters. An integration of different analysis tools such as harmonic anal...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2008-02, Vol.55 (2), p.755-764
Main Authors: Dejnabadi, Hooman, Jolles, Brigitte M., Aminian, Kamiar
Format: Article
Language:English
Subjects:
Aged
Algorithms
Artificial neural networks
Computer Simulation
Diagnosis, Computer-Assisted - methods
Female
Gait
Gait analysis
Gait Disorders, Neurologic - diagnosis
Gait Disorders, Neurologic - physiopathology
Harmonic analysis
Hip
Humans
Joint surgery
Joints - physiopathology
Knee
Knees
Legged locomotion
Male
Mathematical models
Models, Biological
multi-joint coordination
Neural networks
parameterization
Patients
Pattern analysis
Predictive models
Principal component analysis
Principal components analysis
Quantitative analysis
Reproducibility of Results
Sensitivity and Specificity
Studies
Surgical implants
Testing
Walking
Waveforms
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Summary:A new method for quantitative analysis of interjoint coordination at various walking speeds is presented. The model imposed a parametric relationship among lower limb joint motions (hips and knees) using the least number of parameters. An integration of different analysis tools such as harmonic analysis, principal component analysis, and artificial neural networks helped overcome high-dimensionality, temporal dependence, and nonlinear relationships of the gait patterns. The trained model was fed only two control parameters (cadence and stride length) for each gait cycle and predicted the corresponding gait waveforms. Based on the differences between predicted and actual gait waveforms, a coordination score, which ranged from 0 to 10, was defined at various walking speeds. The model was applied to eight patients with knee arthroplasty at different follow-ups as well as to eight healthy subjects, walking at three different speeds. The results showed that knee replacement and rehabilitation programs improved the coordination score. The technique provides an analytical tool that can be used as a routine test in the clinical evaluation of human gait abnormalities.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2007.901034