Metrics of sleep apnea severity: beyond the apnea-hypopnea index

A Malhotra, I Ayappa, N Ayas, N Collop, D Kirsch… - Sleep, 2021 - academic.oup.com
Obstructive sleep apnea (OSA) is thought to affect almost 1 billion people worldwide. OSA
has well established cardiovascular and neurocognitive sequelae, although the optimal …

The importance of respiratory rate monitoring: From healthcare to sport and exercise

A Nicolò, C Massaroni, E Schena, M Sacchetti - Sensors, 2020 - mdpi.com
Respiratory rate is a fundamental vital sign that is sensitive to different pathological
conditions (eg, adverse cardiac events, pneumonia, and clinical deterioration) and stressors …

[HTML][HTML] Late isocaloric eating increases hunger, decreases energy expenditure, and modifies metabolic pathways in adults with overweight and obesity

N Vujović, MJ Piron, J Qian, SL Chellappa… - Cell metabolism, 2022 - cell.com
Late eating has been linked to obesity risk. It is unclear whether this is caused by changes in
hunger and appetite, energy expenditure, or both, and whether molecular pathways in …

Sleep apnea–specific hypoxic burden, symptom subtypes, and risk of cardiovascular events and all-cause mortality

W Trzepizur, M Blanchard, T Ganem… - American journal of …, 2022 - atsjournals.org
Rationale: Data from population-based cohorts suggest that symptom subtypes and
obstructive sleep apnea (OSA)–specific hypoxic burden (HB) could help to better identify …

Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis

AV Benjafield, NT Ayas, PR Eastwood… - The Lancet …, 2019 - thelancet.com
Background There is a scarcity of published data on the global prevalence of obstructive
sleep apnoea, a disorder associated with major neurocognitive and cardiovascular …

An open-source, high-performance tool for automated sleep staging

R Vallat, MP Walker - Elife, 2021 - elifesciences.org
The clinical and societal measurement of human sleep has increased exponentially in
recent years. However, unlike other fields of medical analysis that have become highly …

Multi-view spatial-temporal graph convolutional networks with domain generalization for sleep stage classification

Z Jia, Y Lin, J Wang, X Ning, Y He… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
Sleep stage classification is essential for sleep assessment and disease diagnosis.
Although previous attempts to classify sleep stages have achieved high classification …

The hypoxic burden of sleep apnoea predicts cardiovascular disease-related mortality: the Osteoporotic Fractures in Men Study and the Sleep Heart Health Study

A Azarbarzin, SA Sands, KL Stone… - European heart …, 2019 - academic.oup.com
Aims Apnoea–hypopnoea index (AHI), the universal clinical metric of sleep apnoea severity,
poorly predicts the adverse outcomes of sleep apnoea, potentially because the AHI, a …

Multinight prevalence, variability, and diagnostic misclassification of obstructive sleep apnea

B Lechat, G Naik, A Reynolds, A Aishah… - American journal of …, 2022 - atsjournals.org
Rationale: Recent studies suggest that obstructive sleep apnea (OSA) severity can vary
markedly from night to night, which may have important implications for diagnosis and …

[PDF][PDF] GraphSleepNet: Adaptive spatial-temporal graph convolutional networks for sleep stage classification.

Z Jia, Y Lin, J Wang, R Zhou, X Ning, Y He, Y Zhao - Ijcai, 2020 - researchgate.net
Sleep stage classification is essential for sleep assessment and disease diagnosis.
However, how to effectively utilize brain spatial features and transition information among …