Wearables in Chronomedicine and Interpretation of Circadian Health DOI Creative Commons
Denis Gubin,

Dietmar Weinert,

Oliver Stefani

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(3), P. 327 - 327

Published: Jan. 30, 2025

Wearable devices have gained increasing attention for use in multifunctional applications related to health monitoring, particularly research of the circadian rhythms cognitive functions and metabolic processes. In this comprehensive review, we encompass how wearables can be used study disease. We highlight importance these as markers well-being potential predictors outcomes. focus on wearable technologies sleep research, medicine, chronomedicine beyond domain emphasize actigraphy a validated tool monitoring sleep, activity, light exposure. discuss various mathematical methods currently analyze actigraphic data, such parametric non-parametric approaches, linear, non-linear, neural network-based applied quantify non-circadian variability. also introduce novel actigraphy-derived markers, which personalized proxies status, assisting discriminating between disease, offering insights into neurobehavioral status. lifestyle factors physical activity exposure modulate brain health. establishing reference standards measures further refine data interpretation improve clinical The review calls existing tools methods, deepen our understanding health, develop healthcare strategies.

Language: Английский

Wearables in Chronomedicine and Interpretation of Circadian Health DOI Creative Commons
Denis Gubin,

Dietmar Weinert,

Oliver Stefani

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(3), P. 327 - 327

Published: Jan. 30, 2025

Wearable devices have gained increasing attention for use in multifunctional applications related to health monitoring, particularly research of the circadian rhythms cognitive functions and metabolic processes. In this comprehensive review, we encompass how wearables can be used study disease. We highlight importance these as markers well-being potential predictors outcomes. focus on wearable technologies sleep research, medicine, chronomedicine beyond domain emphasize actigraphy a validated tool monitoring sleep, activity, light exposure. discuss various mathematical methods currently analyze actigraphic data, such parametric non-parametric approaches, linear, non-linear, neural network-based applied quantify non-circadian variability. also introduce novel actigraphy-derived markers, which personalized proxies status, assisting discriminating between disease, offering insights into neurobehavioral status. lifestyle factors physical activity exposure modulate brain health. establishing reference standards measures further refine data interpretation improve clinical The review calls existing tools methods, deepen our understanding health, develop healthcare strategies.

Language: Английский

Citations

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