Results 41 to 50 of about 138,049 (316)
SAGE Open Medicine, 2023 Objectives: Obstructive sleep apnea syndrome is associated with cardiovascular diseases. Mean platelet volume has emerged as a marker of prothrombotic conditions and cardiovascular risk.
Souha Kallel +5 more
doaj +1 more source
Dynamics of Snoring Sounds and Its Connection with Obstructive Sleep Apnea [PDF]
, 2012 Snoring is extremely common in the general population and when irregular may indicate the presence of obstructive sleep apnea. We analyze the overnight sequence of wave packets --- the snore sound --- recorded during full polysomnography in patients referred to the sleep laboratory due to suspected obstructive sleep apnea. We hypothesize that irregular
arxiv +1 more source
The molecular pathology of genioglossus in obstructive sleep apnea [PDF]
arXiv, 2023 Obstructive sleep apnea (OSA) is a sleep respiratory disease characterized by sleep snoring accompanied by apnea and daytime sleeplessness. It is a complex disease, with the multifactorial etiology, and the pathology is incompletely understood. Genioglossus (GG), the largest dilator of upper airway, whose fatigue is strongly correlated to onset of OSA.
arxiv
Interfering with sleep apnea [PDF]
Bioelectronic MedicineAbstractThe effects of electromagnetic interference have been hiding in plain sight for millennia and are now being applied to the non-invasive stimulation of deep tissues. In the article by Missey et al., the effect of non-invasive stimulation of the hypoglossal nerve by an interference envelope of interfering carrier waves is examined in mice and ...
Nigel Paul Pedersen +1 more
openaire +3 more sources
Pathophysiology of Sleep Apnea [PDF]
Physiological Reviews, 2010 Sleep-induced apnea and disordered breathing refers to intermittent, cyclical cessations or reductions of airflow, with or without obstructions of the upper airway (OSA). In the presence of an anatomically compromised, collapsible airway, the sleep-induced loss of compensatory tonic input to the upper airway dilator muscle motor neurons leads to ...
Jerome A. Dempsey +3 more
openaire +3 more sources
Sleep apnea-hypopnea quantification by cardiovascular data analysis [PDF]
, 2014 Sleep apnea is the most common sleep disturbance and it is an important risk factor for cardiovascular disorders. Its detection relies on a polysomnography, a combination of diverse exams. In order to detect changes due to sleep disturbances such as sleep apnea occurrences, without the need of combined recordings, we mainly analyze systolic blood ...
arxiv +1 more source
A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors [PDF]
, 2021 Internet of Things (IoT) enabled wearable sensors for health monitoring are widely used to reduce the cost of personal healthcare and improve quality of life. The sleep apnea-hypopnea syndrome, characterized by the abnormal reduction or pause in breathing, greatly affects the quality of sleep of an individual.
arxiv +1 more source
Sleep apnea prevalence in chronic kidney disease - association with total body water and symptoms
BMC Nephrology, 2017 Background Sleep apnea is common and associated with poor outcome in severe chronic kidney disease, but validated screening tools are not available. Our objectives were to determine the prevalence of sleep apnea in this population, to assess the validity
Hsin-Chia Huang +7 more
doaj +1 more source
Differential effects of high-fat diet on salivary and gut microbiota
Frontiers in Cellular and Infection MicrobiologyObjectivesMicroorganisms contribute to the pathogenesis of obesity, while more studies focus on gut microbiome. However, the relationship between oral microbiota and obesity has yet to be elucidated.
Jingxuan Bai +11 more
doaj +1 more source
A Multimodal Dataset of 21,412 Recorded Nights for Sleep and Respiratory Research [PDF]
arXiv, 2023 This study introduces a novel, rich dataset obtained from home sleep apnea tests using the FDA-approved WatchPAT-300 device, collected from 7,077 participants over 21,412 nights. The dataset comprises three levels of sleep data: raw multi-channel time-series from sensors, annotated sleep events, and computed summary statistics, which include 447 ...
arxiv