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 …

Automated sleep scoring: A review of the latest approaches

L Fiorillo, A Puiatti, M Papandrea, PL Ratti… - Sleep medicine …, 2019 - Elsevier
Clinical sleep scoring involves a tedious visual review of overnight polysomnograms by a
human expert, according to official standards. It could appear then a suitable task for modern …

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 …

Physiological markers of sleep quality: a sco** review

SJ McCarter, PT Hagen, EKS Louis, TM Rieck… - Sleep medicine …, 2022 - Elsevier
Understanding the associations between adequate sleep, performance and health
outcomes is vital, yet a major limitation in the design and interpretation of studies of sleep …

Sleep and circadian rhythm in critical illness

I Telias, ME Wilcox - Annual Update in Intensive Care and Emergency …, 2019 - Springer
Sleep is controlled by two major regulatory systems: a circadian system that drives 24-h
periodicity (Process C), and a homeostatic system (Process S) that ensures adequate …

[HTML][HTML] Review and perspective on sleep-disordered breathing research and translation to clinics

H Korkalainen, S Kainulainen, AS Islind… - Sleep Medicine …, 2024 - Elsevier
Sleep-disordered breathing, ranging from habitual snoring to severe obstructive sleep
apnea, is a prevalent public health issue. Despite rising interest in sleep and awareness of …

Sleep staging from electrocardiography and respiration with deep learning

H Sun, W Ganglberger, E Panneerselvam, MJ Leone… - Sleep, 2020 - academic.oup.com
Abstract Study Objectives Sleep is reflected not only in the electroencephalogram but also in
heart rhythms and breathing patterns. We hypothesized that it is possible to accurately stage …

Reinventing polysomnography in the age of precision medicine

DC Lim, DR Mazzotti, K Sutherland, JW Mindel… - Sleep medicine …, 2020 - Elsevier
For almost 50 years, sleep laboratories around the world have been collecting massive
amounts of polysomnographic (PSG) physiological data to diagnose sleep disorders, the …

Polysomnographic endoty** to select patients with obstructive sleep apnea for oral appliances

AA Bamagoos, PA Cistulli, K Sutherland… - Annals of the …, 2019 - atsjournals.org
Rationale: Oral appliance therapy is efficacious in many patients with obstructive sleep
apnea (OSA), but prediction of treatment outcome is challenging. Small, detailed …

Artificial intelligence in sleep medicine: background and implications for clinicians

CA Goldstein, RB Berry, DT Kent, DA Kristo… - Journal of Clinical …, 2020 - jcsm.aasm.org
Polysomnography remains the cornerstone of objective testing in sleep medicine and results
in massive amounts of electrophysiological data, which is well-suited for analysis with …