Circadian rhythms and disorders of the timing of sleep

N Meyer, AG Harvey, SW Lockley, DJ Dijk - The Lancet, 2022 - thelancet.com
The daily alternation between sleep and wakefulness is one of the most dominant features
of our lives and is a manifestation of the intrinsic 24 h rhythmicity underlying almost every …

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 …

[HTML][HTML] The promise of sleep: A multi-sensor approach for accurate sleep stage detection using the oura ring

M Altini, H Kinnunen - Sensors, 2021 - mdpi.com
Sensors | Free Full-Text | The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep
Stage Detection Using the Oura Ring Next Article in Journal The 2019–2020 Rise in Lake …

Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective

A Bandyopadhyay, C Goldstein - Sleep and Breathing, 2023 - Springer
Background The past few years have seen a rapid emergence of artificial intelligence (AI)-
enabled technology in the field of sleep medicine. AI refers to the capability of computer …

A method for characterizing daily physiology from widely used wearables

C Bowman, Y Huang, OJ Walch, Y Fang, E Frank… - Cell reports …, 2021 - cell.com
Millions of wearable-device users record their heart rate (HR) and activity. We introduce a
statistical method to extract and track six key physiological parameters from these data …

[HTML][HTML] Chemotherapy delivery time affects treatment outcomes of female patients with diffuse large B cell lymphoma

DW Kim, JM Byun, JO Lee, JK Kim, Y Koh - JCI insight, 2023 - ncbi.nlm.nih.gov
BACKGROUND Chronotherapy is a drug intervention at specific times of the day to optimize
efficacy and minimize adverse effects. Its value in hematologic malignancy remains to be …

Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers

P Cheng, O Walch, Y Huang, C Mayer, C Sagong… - Sleep, 2021 - academic.oup.com
Study Objectives A critical barrier to successful treatment of circadian misalignment in shift
workers is determining circadian phase in a clinical or field setting. Light and movement data …

Learning dynamics from large biological data sets: machine learning meets systems biology

W Gilpin, Y Huang, DB Forger - Current Opinion in Systems Biology, 2020 - Elsevier
In the past few decades, mathematical models based on dynamical systems theory have
provided new insight into diverse biological systems. In this review, we ask whether the …

Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data

DW Kim, C Mayer, MP Lee, SW Choi… - Journal of the …, 2023 - royalsocietypublishing.org
Laboratory studies have made unprecedented progress in understanding circadian
physiology. Quantifying circadian rhythms outside of laboratory settings is necessary to …

Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features

D Lim, J Jeong, YM Song, CH Cho, JW Yeom… - npj Digital …, 2024 - nature.com
Wearable devices enable passive collection of sleep, heart rate, and step-count data,
offering potential for mood episode prediction in mood disorder patients. However, current …