State of the science and recommendations for using wearable technology in sleep and circadian research

M de Zambotti, C Goldstein, J Cook, L Menghini… - Sleep, 2024 - academic.oup.com
Wearable sleep-tracking technology is of growing use in the sleep and circadian fields,
including for applications across other disciplines, inclusive of a variety of disease states …

Applications of smart material sensors and soft electronics in healthcare wearables for better user compliance

A Ghosh, S Nag, A Gomes, A Gosavi, G Ghule… - Micromachines, 2022 - mdpi.com
The need for innovation in the healthcare sector is essential to meet the demand of a rapidly
growing population and the advent of progressive chronic ailments. Over the last decade …

[HTML][HTML] Belun Ring (Belun Sleep System BLS-100): Deep learning-facilitated wearable enables obstructive sleep apnea detection, apnea severity categorization, and …

Z Strumpf, W Gu, CW Tsai, PL Chen, E Yeh, L Leung… - Sleep Health, 2023 - Elsevier
Goal and aims Our objective was to evaluate the performance of Belun Ring with second-
generation deep learning algorithms in obstructive sleep apnea (OSA) detection, OSA …

Objective multi-night sleep monitoring at home: variability of sleep parameters between nights and implications for the reliability of sleep assessment in clinical trials

A Chouraki, J Tournant, P Arnal, JL Pépin, S Bailly - Sleep, 2023 - academic.oup.com
Abstract Study Objectives In-laboratory polysomnography is the current gold standard for
objective sleep measurements in clinical trials, but this does not capture night-to-night …

[HTML][HTML] Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory …

T Svensson, K Madhawa, NT Hoang, U Chung… - Sleep Medicine, 2024 - Elsevier
Purpose To evaluate the validity and the reliability of the Oura Ring Generation 3 (Gen3)
with Oura Sleep Staging Algorithm 2.0 (OSSA 2.0) through multi-night polysomnography …

Performance evaluation of fitbit charge 3 and actigraphy vs. polysomnography: sensitivity, specificity, and reliability across participants and nights

G Eylon, L Tikotzky, I Dinstein - Sleep Health, 2023 - Elsevier
Goal and aims Compare the accuracy and reliability of sleep/wake classification between
the Fitbit Charge 3 and the Micro Motionlogger actigraph when applying either the Cole …

Validation of photoplethysmography-and acceleration-based sleep staging in a community sample: comparison with polysomnography and Actiwatch

PK Liu, N Ting, HC Chiu, YC Lin, YT Liu… - Journal of Clinical …, 2023 - jcsm.aasm.org
Study Objectives: Although wrist-worn consumer wearables are widely used for home sleep
monitoring, few have been validated. It is unclear whether consumer wearables could be an …

Daytime sleep-tracking performance of four commercial wearable devices during unrestricted home sleep

ED Chinoy, JA Cuellar, JT Jameson… - Nature and Science of …, 2023 - Taylor & Francis
Purpose Previous studies have found that many commercial wearable devices can
accurately track sleep-wake patterns in laboratory or home settings. However, nearly all …

Leveraging Machine Learning for Disease Diagnoses based on Wearable Devices: A Survey

Z Jiang, V Van Zoest, W Deng… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Many countries around the world are facing a shortage of healthcare resources, especially
during the post-epidemic era, leading to a dramatic increase in the need for self-detection …

The utility of wearable headband electroencephalography and pulse photoplethysmography to assess cortical and physiological arousal in individuals with stress …

B Blaskovich, E Bullón‐Tarrasó… - Journal of sleep …, 2023 - Wiley Online Library
Several stress‐related mental disorders are characterised by disturbed sleep, but objective
sleep biomarkers are not routinely examined in psychiatric patients. We examined the use of …