Identification of quantifiers related to circadian rhythm variations

Tristan Bonargent (1) , Eric Pigeon (1) , Tristan Martin (2) , Mathieu Pouliquen (1) , Olivier Gehan (1) , Tomas Menard (1) , Mohammed M'Saad (1)

1 LAC - Laboratoire d'automatique de Caen
2 COMETE - Mobilités : Vieillissement, Pathologie, Santé

The aim of this study is to propose quantifiers allowing to characterize the adaptation speed of the circadian rhythm of a living being based on temperature measurements. While the most commonly used model to represent circadian rhythm is the COSINOR model, it is not adapted to analyze changes. An extended COSINOR model is then proposed here in order to take into account temperature disturbances related to the activity of the studied living being. The quantifiers are obtained in a two step process. First, the extended COSINOR parameters are determined with a modified recursive least square algorithm, which is modified in order to compensate for the lack of persistent excitation. The estimates of these parameters are further filtered in order to provide several quantifiers which provide useful information on the adaptation speed of the studied living being. The proposed methodology is evaluated on rats temperature measurements obtained from a laboratory experiment.

Keywords: Jet lag; COSINOR; Least square algorithm; Index Terms-Circadian rhythm; Hypergravity; Rats; Circadian rhythm; Convergence; Estimation; Temperature measurement; Adaptation models; Delays; Mathematical model; Biology computing; Circadian rhythms; Identification; Least squares approximations

Domains: Engineering Sciences [physics]; Automatic

Tristan Bonargent, Eric Pigeon, Tristan Martin, Mathieu Pouliquen, Olivier Gehan, et al.. Identification of quantifiers related to circadian rhythm variations. UKACC International Conference on Control 2018, Sep 2018, Sheffield, United Kingdom. pp.462-467, ⟨10.1109/CONTROL.2018.8516835⟩. ⟨hal-01827006⟩