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Blog | Guest Blogger

Sleep apnea endotypes: from the physiological laboratory to scalable polysomnographic measures

Overview: Four key obstructive sleep apnea (OSA) endotypic traits have been identified, namely: collapsibility, upper airway muscle compensation, arousal threshold and loop gain. However, most methods for extracting these traits require specialized training and equipment not available in a standard sleep clinic, which has hampered the ability to assess the full impact of these traits on OSA outcomes. Keep reading

By szhivotovsky on January 24, 2024 Jan 24, 2024 in Guest Blogger

Use and misuse of random forest variable importance metrics in medicine: demonstrations through incident stroke prediction

Overview Random forest machine learning is a popular predictive tool in medical research. However, when attempting to determine why the random forest model is predictive, applied researchers continue to rely on ‘out of bag’ (OOB) variable importance metrics (VIMPs) that are known to have considerable limitations within the statistics community, including a bias towards highly correlated features. Keep reading

By szhivotovsky on January 18, 2024 Jan 18, 2024 in Guest Blogger

A prospective study of the association of weekend catch‑up sleep and sleep duration with mortality in middle‑aged adults

Overview It remains to be determined whether and in which individuals weekend catch-up sleep (CUS) promotes health. The health effects of weekend CUS could differ depending on both the ability to obtain sufficient sleep during weekdays and amount of weekend CUS required to compensate for sleep lost during the week. We examined the longitudinal association of these two aspects of sleep with all-cause mortality. Keep reading

By szhivotovsky on December 4, 2023 Dec 4, 2023 in Guest Blogger

U-Sleep’s resilience to AASM guidelines

Overview AASM guidelines are the result of decades of efforts aimed at standardizing sleep scoring procedures, with the final goal of sharing a worldwide common methodology. The guidelines cover several aspects from the technical/digital specifications, e.g., recommended EEG derivations, to detailed sleep scoring rules according to age. Automated sleep scoring systems - e.g. Keep reading

By szhivotovsky on October 25, 2023 Oct 25, 2023 in Guest Blogger

An accessible and versatile deep learning-based sleep stage classifier

Overview The Greifswald Sleep Stage Classifier (GSSC) is a highly accurate, deep learning-based automatic sleep stage classifier that priortises ease of use as well as accessibility for a broad range of potential applications and recording environments. Sleep staging can be performed within a simple GUI, the command-line, or integrated directly into the user's own Python code. Keep reading

By szhivotovsky on October 17, 2023 Oct 17, 2023 in Guest Blogger

Longitudinal Trajectories of Spectral Power During Sleep in Middle-Aged and Older Adults

Overview: Textbook depictions of aging suggest a linear, almost deterministic, worsening of sleep architecture and sleep physiology in older adulthood. However, such conceptualizations of aging arise from group-averaged cross-sectional polysomnography data. What was the approach to solving the problem? We used a large-sample, longitudinal dataset to investigate individual trajectories in spectral power. Keep reading

By szhivotovsky on October 5, 2023 Oct 5, 2023 in Guest Blogger

Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry

Overview Obstructive sleep apnea (OSA) affects more than 20% of the global adult population, with approximately 80% of cases remaining undiagnosed. Although home sleep test solutions have existed for almost two decades, they suffer from significant limitations. A recent review reported a misdiagnosis rate of 39% for home sleep tests. Keep reading

By szhivotovsky on September 1, 2023 Sep 1, 2023 in Guest Blogger

Nighttime Sleep Duration and Variability in Children with Obstructive Sleep Apnea Syndrome: Sociodemographic Disparities and Neurobehavioral Outcomes

Overview Due to adverse social and environmental factors, Black children and/or those living in lower socioeconomic status (SES) contexts are more likely to experience sleep disorders, including obstructive sleep apnea syndrome (OSAS), as well as short and irregular sleep duration. Children with OSAS also often have behavioral difficulties, but little is known about whether these challenges are worse when children also experience poor sleep, which is linked to similar child outcomes. Keep reading

By szhivotovsky on August 10, 2023 Aug 10, 2023 in Guest Blogger

Can we still use existing sleep stage classification models in the label-scarce scenarios?

Overview We aim to provide a realistic assessment of sleep stage classification (SSC) models in real-world label-scarce scenarios. Most of the proposed deep learning-based models assume access to a vast amount of labeled data, which is not usually achievable. What was the approach to solving the problem? We explored the efficacy of self-supervised learning (SSL) algorithms in scenarios with limited labeled data. Keep reading

By szhivotovsky on July 17, 2023 Jul 17, 2023 in Guest Blogger

Exploration of sleep disturbances in children and adolescents with and without autism in a paediatric sample referred for polysomnography

Overview Sleep disturbances in children and adolescents are important to identify as they affect daytime function, and, although extremely common, can be especially hard to diagnose in those with autism. For this reason, the description of the type and frequency of sleep diagnoses in the pediatric autism population has been elusive to researchers, clinicians, and caregivers. Keep reading

By szhivotovsky on May 31, 2023 May 31, 2023 in Guest Blogger