Sleep disorders have increasingly impacted healthy lifestyles. Accurate scoring of sleep
stages is crucial for diagnosing patients with sleep disorders. The precision of sleep staging …

The rapid development of biosensing technologies together with the advent of deep learning
has marked an era in healthcare and biomedical research where widespread devices like …

One of the most essential components of human life is sleep. One of the first steps in spotting
abnormalities connected to sleep is classifying sleep stages. Based on the kind and …

Objective: The traditional sleep staging involves manual scoring of electroencephalogram
(EEG), electrooculogram (EOG), and electromyogram signals during polysomnography …

Background/Objectives: Sleep stage analysis is considered to be the key factor for
understanding and diagnosing various sleep disorders, as it provides insights into sleep …

Sleep stage classification is a critical component in diagnosing and managing sleep
disorders. This research presents a comprehensive workflow for sleep stage classification …

This research proposes a novel approach utilizing Convolutional Neural Networks (CNNs)
for the early detection of stripe rust (Puccinia striiformis) diseases in wheat crops. The study …

Hyperscanning is the study of multiple brain activities simultaneously while partic-ipants
engage in a common task. In recent times, hyperscanning has gained much attention in the …

Investigating the various stages of sleep, an essential aspect of human health and well-
being, is crucial for understanding and improving overall health. A deep and detailed …

RESUMEN INTRODUCCION: Ante la incapacidad de los tratamientos en prolongar la
supervivencia del paciente neoplásico de forma significativa cobran importancia aquellos …