[HTML][HTML] A systematic review of sensing technologies for wearable sleep staging

SA Imtiaz - Sensors, 2021 - mdpi.com
Designing wearable systems for sleep detection and staging is extremely challenging due to
the numerous constraints associated with sensing, usability, accuracy, and regulatory …

Artificial intelligence and sleep: Advancing sleep medicine

NF Watson, CR Fernandez - Sleep medicine reviews, 2021 - Elsevier
Artificial intelligence (AI) allows analysis of “big data” combining clinical, environmental and
laboratory based objective measures to allow a deeper understanding of sleep and sleep …

[HTML][HTML] Wrist-based photoplethysmography assessment of heart rate and heart rate variability: Validation of WHOOP

CR Bellenger, DJ Miller, SL Halson, GD Roach… - Sensors, 2021 - mdpi.com
Heart rate (HR) and HR variability (HRV) infer readiness to perform exercise in athletic
populations. Technological advancements have facilitated HR and HRV quantification via …

[HTML][HTML] A validation study of a commercial wearable device to automatically detect and estimate sleep

DJ Miller, GD Roach, M Lastella, AT Scanlan… - Biosensors, 2021 - mdpi.com
The aims of this study were to:(1) compare actigraphy (ACTICAL) and a commercially
available sleep wearable (ie, WHOOP) under two functionalities (ie, sleep auto-detection …

[HTML][HTML] Radar-based sleep stage classification in children undergoing polysomnography: a pilot-study

R de Goederen, S Pu, MS Viu, D Doan, S Overeem… - Sleep Medicine, 2021 - Elsevier
Study objectives Unobtrusive monitoring of sleep and sleep disorders in children presents
challenges. We investigated the possibility of using Ultra-Wide band (UWB) radar to …

[HTML][HTML] Changes in health promoting behavior during COVID-19 physical distancing: Utilizing wearable technology to examine trends in sleep, activity, and …

ER Capodilupo, DJ Miller - PLoS One, 2021 - journals.plos.org
The COVID-19 pandemic incited unprecedented restrictions on the behavior of society. The
aims of this study were to quantify changes to sleep/wake behavior and exercise behavior …

Feasibility of a wearable biosensor device to characterize exercise and sleep in neurology residents

K Niotis, N Saif, M Simonetto, X Wu, P Yan… - Expert Review of …, 2021 - Taylor & Francis
Background Research suggests optimizing sleep, exercise and work-life balance may
improve resident physician burnout. Wearable biosensors may allow residents to detect and …

[HTML][HTML] 基于功能性近红外光谱的睡眠研究综述

梦盈黄, 学军焦, 劲姜, 捷鸿杨, 洪祚楚… - Sheng Wu Yi Xue …, 2021 - ncbi.nlm.nih.gov
睡眠是对身心健康有着重要意义的复杂生理过程, 其研究范围涉及多个学科领域。
目前睡眠的定量分析主要依靠作为“金标准” 的多导睡眠监测仪( PSG) 完成 …

Prior sleep-wake behavior predicts mental health resilience among adults in the United States during the COVID-19 pandemic

MÉ Czeisler, ER Capodilupo, MD Weaver, CA Czeisler… - medRxiv, 2021 - medrxiv.org
Rigorous nonpharmaceutical interventions (eg, stay-at-home orders, remote-work directives)
were implemented in early 2020 for coronavirus disease 2019 (COVID-19) pandemic …

Using a Homeogram to Detect Sleep in Free-living Animals

M Gaidica, E Studd, AE Wishart, W Gonzalez, JE Lane… - bioRxiv, 2021 - biorxiv.org
Sleep is appreciated as a behavior critical to homeostasis, performance, and fitness. Yet,
most of what we know about sleep comes from humans or controlled laboratory …