Clinical Research Directory

Implementation of Machine Learning Into Optical Pedography

This study aims to evaluate the validity and reliability of a proposed plantar pressure assessment intrument based on an implementation of machine learning into optical pedography.

Footwear and Brain Activity in Children

Childhood is a critical period for neuromotor development, during which footwear may influence both gait biomechanics and the integration of sensory and motor control processes. This study will aim to analyze brain activity in children aged 6-7 years while walking under three conditions: barefoot, in barefoot-style (minimalist) shoes, and in conventional shoes with heel drop. A quasi-experimental, repeated-measures study will be conducted, in which each participant will complete a 10-meter walking task under the three conditions, in randomized order. Brain activity will be recorded using a 14-channel wireless electroencephalography (EEG) system (Emotiv EPOC X), and relative spectral power (theta, alpha, beta, gamma) as well as Theta/Alpha and Beta/Alpha ratios will be calculated. Statistical analysis will include global and regional comparisons (frontal, temporal, parieto-occipital), assessment of hemispheric asymmetry, and multivariate analysis. The study is expected to provide novel information on how footwear type may modulate cortical organization during children's gait, with potential implications for pediatric footwear design and clinical recommendations.

Foot Biomechanics and Lower Extremity Muscle Mechanics

This study is designed to investigate the relationship between foot biomechanics, balance, lower extremity muscle mechanical properties, and vertical jump in young adults. The aim is to highlight the correlations between foot biomechanics and the other parameters, as well as potential outcomes (if any).