Approximate entropy and sample entropy: A comprehensive tutorial
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 …
of series of data based on the existence of patterns. Despite their similarities, the theoretical …
Capturing and quantifying tactical behaviors in small-sided and conditioned games in soccer: a systematic review
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 statistical methods used to evaluate the players and teams' tactical behavior in small …
Analysis of complexity in the EEG activity of Parkinson's disease patients by means of approximate entropy
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 …
Parkinson's disease (PD) patients and age-and gender-matched healthy controls (elderly) in …
Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network
Y Chen, S Wei, Y Zhang - Medical & Biological Engineering & Computing, 2020 - Springer
We purpose a novel method that combines modified frequency slice wavelet transform
(MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal …
(MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal …
Gesture recognition for transhumeral prosthesis control using EMG and NIR
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 …
quality gesture intent signal from the residual anatomy of an amputee. In this study, the …
A robust machine learning based framework for the automated detection of ADHD using pupillometric biomarkers and time series analysis
Accurate and efficient detection of attention-deficit/hyperactivity disorder (ADHD) is critical to
ensure proper treatment for affected individuals. Current clinical examinations, however, are …
ensure proper treatment for affected individuals. Current clinical examinations, however, are …
Approximate entropy analysis across electroencephalographic rhythmic frequency bands during physiological aging of human brain
C Pappalettera, A Cacciotti, L Nucci, F Miraglia… - Geroscience, 2023 - Springer
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 …
functional decline associated with alterations in the resting/task-related brain activity …
Deep neural networks for human's fall-risk prediction using force-plate time series signal
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 …
older adults, a prone population. Our work investigates deep neural networks' capacity to …
Postural threat increases sample entropy of postural control
Introduction Postural threat elicits modifications to standing balance. However, the
underlying neural mechanism (s) responsible remain unclear. Shifts in attention focus …
underlying neural mechanism (s) responsible remain unclear. Shifts in attention focus …
Sport dependent effects on the sensory control of balance during upright posture: a comparison between professional horseback riders, judokas and non-athletes
Introduction Compared to judokas (JU) and non-athletes (NA), horseback riders (HR) may
develop specific changes in their sensory control of balance. Methods Thirty-four …
develop specific changes in their sensory control of balance. Methods Thirty-four …