Digital phenotyping of sleep patterns among heterogenous samples of Latinx adults using unsupervised learning.
Sign Up to like & getrecommendations! Published in 2021 at "Sleep medicine"
DOI: 10.1016/j.sleep.2021.07.023
Abstract: OBJECTIVE This study aimed to identify sleep disturbance subtypes ("phenotypes") among Latinx adults based on objective sleep data using a flexible unsupervised machine learning technique. METHODS This study was an analysis of sleep data from… read more here.
Keywords: digital phenotyping; phenotyping sleep; using unsupervised; latinx adults ... See more keywords
0443 Intra Week Sleep Patterns Analyzed Using Consumer Sleep Tracker Data
Sign Up to like & getrecommendations! Published in 2020 at "Sleep"
DOI: 10.1093/sleep/zsaa056.440
Abstract: Big data collected using consumer sleep technology can provide objectively measured insights on sleep behavior in the real-life environment. It has the advantage over self-report data of being less prone to bias. Here we used… read more here.
Keywords: weekend; using consumer; consumer sleep; sleep ... See more keywords
0495 Investigating the Feasibility of Collecting Sleep and Readiness Data Prior to Deployment on a U.S Navy Ship
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DOI: 10.1093/sleep/zsaf090.0495
Abstract: Maintaining optimal readiness and adequate sleep is essential for Navy sailors, particularly when preparing for deployment. However, assessment of performance factors (e.g., sleep and fatigue, occupational and environmental stressors, mental and behavioral health concerns) is… read more here.
Keywords: navy ship; study; readiness; sleep data ... See more keywords
Leveraging clinical sleep data across multiple pediatric cohorts for insights into neurodevelopment: the retrospective analysis of sleep in Pediatric (RASP) cohorts study.
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DOI: 10.1093/sleep/zsaf157
Abstract: Sleep disturbances are prominent across neurodevelopmental disorders (NDDs) and may reflect specific abnormalities in brain development and function. Overnight polysomnography (PSG) allows for detailed investigation of sleep architecture, offering a unique window into neurocircuit function.… read more here.
Keywords: retrospective analysis; sleep data; sleep pediatric; sleep ... See more keywords
Common sleep data pipeline for combined data sets
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DOI: 10.1371/journal.pone.0307202
Abstract: Over the past few years, sleep research has shown impressive performance of deep neural networks in the area of automatic sleep-staging. Recent studies have demonstrated the necessity of combining multiple data sets to obtain sufficiently… read more here.
Keywords: data sets; pipeline; sleep data; pipeline combined ... See more keywords
A low-threshold sleep intervention for improving sleep quality and well-being
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2023.1117645
Abstract: Background Approximately one-third of the healthy population suffer from sleep problems, but only a small proportion of those affected receive professional help. Therefore, there is an urgent need for easily accessible, affordable, and efficacious sleep… read more here.
Keywords: low threshold; threshold sleep; sleep intervention; intervention ... See more keywords