[PDF][PDF] Wearables in Chronomedicine and interpretation of circadian health

D Gubin, D Weinert, O Stefani, K Otsuka… - Preprints, 2024 - preprints.org
Wearable devices gain increasing attention for use in multifunctional applications related to
health monitoring, particularly in research of the circadian rhythms of cognitive functions and …

[HTML][HTML] Wearables in Chronomedicine and Interpretation of Circadian Health

D Gubin, D Weinert, O Stefani, K Otsuka, M Borisenkov… - Diagnostics, 2025 - mdpi.com
Wearable devices have gained increasing attention for use in multifunctional applications
related to health monitoring, particularly in research of the circadian rhythms of cognitive …

Unravelling sleep patterns: Supervised contrastive learning with self-attention for sleep stage classification

CB Kumar, AK Mondal, M Bhatia, BK Panigrahi… - Applied Soft …, 2024 - Elsevier
Sleep data scoring is a crucial and primary step for diagnosing sleep disorders to know the
sleep stages from the PSG signals. This study uses supervised contrastive learning with a …

Nearest advocate: a novel event-based time delay estimation algorithm for multi-sensor time-series data synchronization

C Schranz, S Mayr, S Bernhart, C Halmich - EURASIP Journal on …, 2024 - Springer
Estimating time delays in event-based time-series is a crucial task in signal processing as it
affects the data quality and is a prerequisite for many subsequent analyses. In particular …

Issues in behavioral data science

A Iodice D'Enza, A Markos, K Kurihara - Behaviormetrika, 2024 - Springer
Analyzing data about different aspects of human behavior is a valuable and challenging task
and it represents the general aim of behavioral data science. Both behavioral science and …