Results 31 to 40 of about 187,501 (315)

Effects of thermal environment on sleep and circadian rhythm

open access: yesJournal of Physiological Anthropology, 2012
The thermal environment is one of the most important factors that can affect human sleep. The stereotypical effects of heat or cold exposure are increased wakefulness and decreased rapid eye movement sleep and slow wave sleep.
Okamoto-Mizuno Kazue, Mizuno Koh
doaj   +1 more source

Verification for Diagnosis of Sleep-Related Hypoventilation and Carbon Dioxide Partial Pressure During Sleep in Children Using End-Tidal Carbon Dioxide [PDF]

open access: yesSleep Medicine Research, 2022
Background and Objective From the past, several researchers have studied and measured the partial pressure of carbon dioxide during sleep in normal children to establish diagnostic criteria for hypoventilation in children.
Jang Gyu Han   +6 more
doaj   +1 more source

aSAGA: Automatic Sleep Analysis with Gray Areas [PDF]

open access: yes, 2023
State-of-the-art automatic sleep staging methods have already demonstrated comparable reliability and superior time efficiency to manual sleep staging. However, fully automatic black-box solutions are difficult to adapt into clinical workflow and the interaction between explainable automatic methods and the work of sleep technologists remains ...
arxiv   +1 more source

Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques

open access: yesEntropy, 2014
Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major concern is to find a correlation between several physiologic variables and sleep stages.
Jose Luis Rodríguez-Sotelo   +5 more
doaj   +1 more source

HARU Sleep: A Deep Learning-Based Sleep Scoring System With Wearable Sheet-Type Frontal EEG Sensors

open access: yesIEEE Access, 2022
Analysis of sleep stages using electroencephalograms (EEGs), a critical procedure in health monitoring, has been researched extensively. Scoring of the sleep stages is highly dependent on experts’ knowledge or hand-crafted features created by ...
Shoya Matsumori   +5 more
doaj   +1 more source

Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation

open access: yesEntropy, 2016
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the patient’s neurophysiological signals collected at sleep labs. This is, generally, a very difficult, tedious and time-consuming task.
Khald Ali I. Aboalayon   +3 more
doaj   +1 more source

Fast Convolutional Method for Automatic Sleep Stage Classification [PDF]

open access: yesHealthcare Informatics Research, 2018
ObjectivesPolysomnography is essential to diagnose sleep disorders. It is used to identify a patient's sleep pattern during sleep. This pattern is obtained by a doctor or health practitioner by using a scoring process, which is time consuming.
Intan Nurma Yulita   +2 more
doaj   +1 more source

EEG-based Sleep Staging with Hybrid Attention [PDF]

open access: yes, 2023
Sleep staging is critical for assessing sleep quality and diagnosing sleep disorders. However, capturing both the spatial and temporal relationships within electroencephalogram (EEG) signals during different sleep stages remains challenging. In this paper, we propose a novel framework called the Hybrid Attention EEG Sleep Staging (HASS) Framework ...
arxiv   +1 more source

Evaluation of sleep stage classification using feature importance of EEG signal for big data healthcare

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2023
Sleep analysis is widely and experimentally considered due to its importance to body health care. Since its sufficiency is essential for a healthy life, people often spend almost a third of their lives sleeping.
Mera Kartika Delimayanti   +5 more
doaj   +1 more source

Automated sleep stage detection based on recurrence quantification analysis using machine learning [PDF]

open access: yesJournal of Applied Research on Industrial Engineering, 2022
In recent years, the use of intelligent methods for automatic detection of sleep stages in medical applications to increase diagnostic accuracy and reduce the workload of physicians in analyzing sleep data by visual inspection is one of the important ...
Mohammad Karimi Moridani, Atiye Hajiali
doaj   +1 more source

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