Modeling of Circadian Rhythm under influence of Pain: an approach based on Multi-agent Simulation

The human body has endogenous biological rhythms. One of those rhythms is the circadian rhythm, with a cycle of approximate 24 hours, that is responsible for regulating many important functions of human body. In this contribution, we propose a nonlinear coupled differential equation for modelling so...

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Bibliographic Details
Published in:Advances in distributed computing and artificial intelligence journal 2018-12, Vol.7 (2), p.17-25
Main Authors: Da Silveira Glaeser, Stefânia, Dos Santos, Angélica Theis, De Cezaro, Adriano, Machado, Catia Maria dos Santos, Adamatti, Diana Francisca
Format: Article
Language:English
Subjects:
Artificial intelligence
Biological clocks
Biological rhythms
Circadian rhythm
Circadian rhythms
Coupling
Differential equations
Distributed processing
Human body
Influence
Mathematical models
multi-agent
Multiagent systems
Pacemakers
Pain
Simulation
Sleep
Synchronism
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Summary:The human body has endogenous biological rhythms. One of those rhythms is the circadian rhythm, with a cycle of approximate 24 hours, that is responsible for regulating many important functions of human body. In this contribution, we propose a nonlinear coupled differential equation for modelling some agents responsible for the circadian rhythm under the influence of pain. We show results concerning the well-posedness of a solution as well as an analysis on the synchronization for each agents. We use a multi-agent simulation strategy of an corresponding model as an alternative interpretation of the pain influences in the behavior of the circadian rhythm.
ISSN:2255-2863
2255-2863
DOI:10.14201/ADCAIJ2018721725