Particle filter-based parameter estimation in a model of the human circadian rhythm

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Recent insights into the effects of light on human health call for a more human-centric approach in automatic lighting control systems. We contribute to the provisioning of lighting settings tailored to the needs of individuals by addressing the challenge of predicting the response of an individual’s circadian rhythm to light exposure. Existing models of the human circadian rhythm are not tailored to individual physiological characteristics such as intrinsic circadian period, light sensitivity and age. We propose to improve model accuracy by using Bayesian statistical inference to estimate the values of model parameters that reflect these physiological characteristics. We illustrate our generic method by applying to a combination of two popular models of the circadian rhythm. By processing individual light exposure- and actigraphy data recoded during a field trial with 20 human subjects with a Particle Filter, we estimate each subject’s intrinsic circadian period. When correlating these to the subjects’ Munich Chronotype Questionnaire Midsleep on Free Days time, a significant relationship was found: r > 0.6 and p < 0.01. This shows the proposed method has good potential for improving model accuracy.
Originele taal-2Engels
TitelProceedings of the 2018 Symposium on Information Theory and Signal Processing in the Benelux
RedacteurenLuuk Spreeuwers, Jasper Goseling
Plaats van productieEnschede
UitgeverijTwente University
Pagina's35-45
Aantal pagina's11
ISBN van elektronische versie978-90-365-4570-9
StatusGepubliceerd - mei 2018
Evenement2018 Symposium on Information Theory and Signal Processing in the Benelux (SITB 2018) - University of Twente, Enschede, Nederland
Duur: 31 mei 20181 jun 2018
https://www.utwente.nl/en/eemcs/sitb2018/

Congres

Congres2018 Symposium on Information Theory and Signal Processing in the Benelux (SITB 2018)
Verkorte titelSITB 2018
Land/RegioNederland
StadEnschede
Periode31/05/181/06/18
Internet adres

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