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Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach

Azienda Spinoff Università di Pisa

Home > Pubblicazioni > Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach

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zaki — 22/11/2022

Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach

Scientific Publications

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Our team of clinical researchers at SonnoLab works tirelessly to produce scientific validations.

Journal of Affective Disorders Reports

Volume 14, December 2023, 100660

Bipolar disorder and delayed sleep-wake phase disorder: Findings on sustained attention, sleep, and circadian rhythm parameters

J Psychiatr Res

2023 Jul 11;165:96-104. doi: 10.1016/j.jpsychires.2023.07.008. Online ahead of print.

Effects of exogenous melatonin on sleep and circadian rhythm parameters in bipolar disorder with comorbid delayed sleep-wake phase disorder: An ...

Rheumatology (Oxford)

2023 Jul 11;kead344. doi: 10.1093/rheumatology/kead344. Online ahead of print.

Actigraphic and self-reported characterization of sleep in systemic lupus erythematosus patients

Chronobiology International

2023 Apr 12, DOI: 10.1080/07420528.2023.2189952

Associations between post-traumatic stress symptoms and sleep/circadian parameters: Exploring the effect of chronotype as a moderator variable

Oxford Academic

SLEEP, 2023, Online ahead of print

Call to action: an open-source pipeline for standardized performance evaluation of sleep-tracking technology

Nature and Science of Sleep

2022 May 18, Volume 2022:14 Pages 941—956.

Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach

Journal of Alzheimer’s disease

2020;78(4):1707-1719. doi: 10.3233/JAD-200632.

Multicenter Study on Sleep and Circadian Alterations as Objective Markers of Mild Cognitive Impairment and Alzheimer’s Disease Reveals Sex Differences

Journal of sleep research

2021 Dec;30(6):e13346. doi: 10.1111/jsr.13346. Epub 2021 Apr 10.

Heart rate detection by Fitbit ChargeHR™ : A validation study versus portable polysomnography

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