The 103,200-arm acceleration dataset in the UK Biobank revealed a landscape of human sleep phenotypes

M Katori, S Shi, KL Ode, Y Tomita… - Proceedings of the …, 2022 - National Acad Sciences
Human sleep phenotypes can be defined and diversified by both genetic and environmental
factors. However, some sleep phenotypes are difficult to evaluate without long-term, precise …

Validation of sleep stage classification using non-contact radar technology and machine learning (Somnofy®)

S Toften, S Pallesen, M Hrozanova, F Moen, J Grønli - Sleep Medicine, 2020 - Elsevier
Objective To validate automatic sleep stage classification using deep neural networks on
sleep assessed by radar technology in the commercially available sleep assistant …

Potential applications of mobile and wearable devices for psychological support during the COVID-19 pandemic: A review

K Ueafuea, C Boonnag, T Sudhawiyangkul… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The coronavirus disease 19 (COVID-19) pandemic that has been raging in 2020 does affect
not only the physical state but also the mental health of the general population, particularly …

[HTML][HTML] Validation of Fitbit Charge 2 sleep and heart rate estimates against polysomnographic measures in shift workers: Naturalistic study

B Stucky, I Clark, Y Azza, W Karlen… - Journal of medical …, 2021 - jmir.org
Background Multisensor fitness trackers offer the ability to longitudinally estimate sleep
quality in a home environment with the potential to outperform traditional actigraphy. To …

[HTML][HTML] 40 years of actigraphy in sleep medicine and current state of the art algorithms

MR Patterson, AAS Nunes, D Gerstel, R Pilkar… - NPJ Digital …, 2023 - nature.com
For the last 40 years, actigraphy or wearable accelerometry has provided an objective, low-
burden and ecologically valid approach to assess real-world sleep and circadian patterns …

[HTML][HTML] Wearable monitoring of sleep-disordered breathing: estimation of the apnea–hypopnea index using wrist-worn reflective photoplethysmography

GB Papini, P Fonseca, MM van Gilst, JWM Bergmans… - Scientific reports, 2020 - nature.com
A large part of the worldwide population suffers from obstructive sleep apnea (OSA), a
disorder impairing the restorative function of sleep and constituting a risk factor for several …

[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 …

Technologies for sleep monitoring at home: Wearables and nearables

H Yoon, SH Choi - Biomedical Engineering Letters, 2023 - Springer
Sleep is an essential part of our lives and daily sleep monitoring is crucial for maintaining
good health and well-being. Traditionally, the gold standard method for sleep monitoring is …

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 …

Using wearable technology (closed loop acoustic stimulation) to improve sleep quality and work outcomes.

CM Barnes, C Guarana, J Lee… - Journal of Applied …, 2023 - psycnet.apa.org
Drawing from the neuroscience literature and recent advancements in sleep technology, we
examine how closed loop acoustic stimulation can improve employee sleep and subsequent …