Spectroscopy rapidly captures a large amount of data that is not directly interpretable.
Principal component analysis is widely used to simplify complex spectral datasets into …

BACKGROUND: Falling is a common but devastating and costly problem of aging. There is
no consensus in the literature on whether the spatial and temporal gait parameters could …

Objectives To investigate home-based gait speed performance for men and women stratified
by age group and its associations with sociodemographic and anthropometric variables …

Decreased gait velocity is associated with limited mobility, community participation, cognitive
decline, and increased risk of falls in elderly women. Therefore, early detection of reduced …

Background Gait is an extremely complex motor task; therefore, gait data should encompass
as many gait parameters as possible. Objective To provide reference values for gait …

Methods: We developed an observational cross-sectional study, using a descriptive and
qualitative approach, through the adoption of a focus group technique. The participants were …

Objetivo Compreender a percepção de estudantes do ensino médio sobre o consumo de
bebidas alcoólicas e drogas ilícitas. Métodos Foi desenvolvido estudo observacional …

PCA is a classical multivariate (unsupervised machine learning) non-parametric
dimensionality reduction method that used to interpret the variation in high-dimensional …

The pressure map measured under foot by the contact with the ground is an essential tool to
provide information how everyone is moving. Among all spatial and temporal data whose …

Methods: We developed an observational cross-sectional study, using a descriptive and
qualitative approach, through the adoption of a focus group technique. The participants were …