Results 51 to 60 of about 162,786 (309)

The Effects of Sleep Posture and Sleep Stage on Apnea Frequency [PDF]

Sleep, 1991
The Apnea Plus Hypopnea Index (A + HI) of 60 male positional sleep apneics was analyzed by sleep stage to determine if positional differences are limited to NREM sleep. Differences in apnea severity by sleep position were found to persist in REM sleep and to be of equal extent to those differences found in NREM sleep, despite the fact that there is ...
R D, Cartwright, F, Diaz, S, Lloyd
openaire   +2 more sources

Effects of thermal environment on sleep and circadian rhythm

Journal 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

Comparing polysomnography auto scoring with the standard of care in sleep medicine

Annals of Thoracic Medicine
BACKGROUND: Manual polysomnography is considered as the gold-standard for diagnosis of sleep disorders. However, it is a labor intensive and time-consuming task and is being replaced by automated sleep scoring systems. METHODS: This cross-sectional study
Faris Alhejaili
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Sleep-related sweating in obstructive sleep apnoea: association with sleep stages and blood pressure

, 2010
To access publisher full text version of this article. Please click on the hyperlink in Additional Links fieldThe aim of this study was to investigate sleep-related sweating as a symptom of obstructive sleep apnoea (OSA).
Arnardottir, Erna S I F,, Gislason, Thorarinn,, Thorleifsdottir, Bjorg, Olafsson, Isleifur, Thorleifsdottir, Bjorg,, Olafsson, Isleifur,, Svanborg, Eva, Arnardottir, Erna Sif, Gislason, Thorarinn, Svanborg, Eva,   +9 more
core   +1 more source

Decoupling of sleep-dependent cortical and hippocampal interactions in a neurodevelopmental model of schizophrenia [PDF]

, 2012
Rhythmic neural network activity patterns are defining features of sleep, but interdependencies between limbic and cortical oscillations at different frequencies and their functional roles have not been fully resolved.
Tricklebank, Mark, Tricklebank, Mark D., Bartsch, Ullrich, Jones, Matt W, Wafford, Keith, Tricklebank, Mark D, Edgar, Dale, Phillips, Keith G., McCarthy, Andrew, Wafford, Keith A., Phillips, K, Jones, Matt W., Edgar, Dale M., McCarthy, Andrew P, Edgar, DM, Wafford, KA, Phillips, Keith, McCarthy, Andrew P., Jones, ME   +18 more
core   +1 more source

Employing a Convolutional Neural Network to Classify Sleep Stages from EEG Signals Using Feature Reduction Techniques

Algorithms
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.
Maadh Rajaa Mohammed, Ali Makki Sagheer
doaj   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

A Comparative Study between SVM and Fuzzy Inference System for the Automatic Prediction of Sleep Stages and the Assessment of Sleep Quality

EAI Endorsed Transactions on Pervasive Health and Technology, 2015
This paper compares two supervised learning algorithms for predicting the sleep stages based on the human brain activity. The first step of the presented work regards feature extraction from real human electroencephalography (EEG) data together with its ...
John Gialelis, Chris Panagiotou, Ioakeim Samaras, Petros Chondros, Dimitris Karadimas   +4 more
doaj   +1 more source

Sleep stage dynamics in young patients with sleep bruxism [PDF]

Sleep, 2019
AbstractStudy ObjectivesWe hypothesized that sleep stage dynamics are different in patients with sleep bruxism (SB) and that these changes are associated with the occurrence of rhythmic masticatory muscle activity (RMMA).MethodsFifteen healthy controls and 15 patients with SB underwent overnight polysomnography.
Akifumi, Kishi, Shingo, Haraki, Risa, Toyota, Yuki, Shiraishi, Mayo, Kamimura, Masako, Taniike, Hirofumi, Yatani, Takafumi, Kato   +7 more
openaire   +2 more sources