Approximate Entropy and Sample Entropy are two algorithms for determining the regularity
of series of data based on the existence of patterns. Despite their similarities, the theoretical …

Purpose: To systematically describe and analyze the tracking systems, the variables, and
the statistical methods used to evaluate the players and teams' tactical behavior in small …

The objective of the present study is to explore the brain resting state differences between
Parkinson's disease (PD) patients and age-and gender-matched healthy controls (elderly) in …

We purpose a novel method that combines modified frequency slice wavelet transform
(MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal …

A key challenge associated with myoelectric prosthesis limbs is the acquisition of a good
quality gesture intent signal from the residual anatomy of an amputee. In this study, the …

Accurate and efficient detection of attention-deficit/hyperactivity disorder (ADHD) is critical to
ensure proper treatment for affected individuals. Current clinical examinations, however, are …

Aging is the inevitable biological process that results in a progressive structural and
functional decline associated with alterations in the resting/task-related brain activity …

Early and accurate identification of the balance deficits could reduce falls, in particular for
older adults, a prone population. Our work investigates deep neural networks' capacity to …

Introduction Postural threat elicits modifications to standing balance. However, the
underlying neural mechanism (s) responsible remain unclear. Shifts in attention focus …

Federated Edge Learning (FEEL) involves the collaborative training of machine learning
models among edge devices, with the orchestration of a server in a wireless edge network …