Perinatal hypoxic-ischemic-encephalopathy significantly contributes to neonatal death and
life-long disability such as cerebral palsy. Advances in signal processing and machine …

Objective To develop a method for automated neonatal sleep state classification based on
EEG that can be applied over a wide range of age. Methods We collected 231 EEG …

There is a substantial body of literature that supports neonatal monitoring and signal
analysis of the collected data to provide valuable insights for improving patient clinical care …

A better understanding of climate change impact on dry/wet conditions is crucial for
agricultural planning and the use of renewable energy, in terms of sustainable development …

Physiological processes—such as, the brain's resting-state electrical activity or
hemodynamic fluctuations—exhibit scale-free temporal structuring. However, impacts …

Diverse indicators of postural control in Humans have been explored for decades, mostly
based on the trajectory of the center-of-pressure. Classical approaches focus on variability …

To understand methodological features of the detrended fluctuation analysis (DFA) using a
higher-order polynomial fitting, we establish the direct connection between DFA and Fourier …

Major depressive disorder (MDD) is a chronic illness wherein relapses contribute to
significant patient morbidity and mortality. Near-term prediction of relapses in MDD patients …

In order to address the overall properties of the Brazilian agricultural commodity market and
the intricate effects of political and economic instabilities, in this work, we provide a …

Neonates spend most of their life sleeping. During sleep, their brain experiences fast
changes in its functional organization. Microstate analysis permits to capture the rapid …