This paper presents an analysis of physiological data derived from a re- cent investigation on network physiology, adopting the conceptual framework that views the human organism as a complex network of interacting organs. The study explores coordinated interactions among organs using functional conditional Gaussian Graphical Models (fcGGM). Organ functions are modelled as networks with individual regulatory mechanisms, forming a broader system through continuous interactions. The focus of the analysis is on the interactions within and between two subnetworks: brain activity and a composite network comprising the RR interval of the electrocardiographic waveform, respiration amplitude and blood volume pulse.

Rita Fici, Luigi Augugliaro, Ernst Wit (2024). Analysis of Brain–Body Physiological Rhythm Using Functional Graphical Models. In Proceedings of the Statistics and Data Science 2024 Conference (pp. 211-216).

Analysis of Brain–Body Physiological Rhythm Using Functional Graphical Models

Rita Fici
;
Luigi Augugliaro;Ernst Wit
2024-01-01

Abstract

This paper presents an analysis of physiological data derived from a re- cent investigation on network physiology, adopting the conceptual framework that views the human organism as a complex network of interacting organs. The study explores coordinated interactions among organs using functional conditional Gaussian Graphical Models (fcGGM). Organ functions are modelled as networks with individual regulatory mechanisms, forming a broader system through continuous interactions. The focus of the analysis is on the interactions within and between two subnetworks: brain activity and a composite network comprising the RR interval of the electrocardiographic waveform, respiration amplitude and blood volume pulse.
2024
Settore SECS-S/01 - Statistica
978-88-5509-645-4
Rita Fici, Luigi Augugliaro, Ernst Wit (2024). Analysis of Brain–Body Physiological Rhythm Using Functional Graphical Models. In Proceedings of the Statistics and Data Science 2024 Conference (pp. 211-216).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/641937
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