Fractal analysis and prediction of changes in gait parameters
DOI:
https://doi.org/10.34767/SIMIS.2021.02.04Keywords:
Gait analysis, fractal parameters, classificationAbstract
Walking is one of the most complex and most frequently performedhuman activities. The aim of the study was
twofold: analysis of the methodof calculating fractal gait measures, classification using artificial neural net-works (ANNs) and their usefulness in everyday clinical practice and establish-ing a minimum set of parameters reflecting with sufficient clinical accuracythe change in stroke patients. The study was based on the following datafrom archival records of 50 healthy walkers and 50 stroke patients. The studyshowed that fewer parameters (fractal dimension, Hurst index) allow for betterdescription of the walk. ANNs are able to make an automatic qualitative, notjust quantitative assessment of the walk.
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