ABSTRAKT

In this second of two articles on signal processing, we explore the coupling between modeling and signal processing and the critical importance of well-posed clinical questions or hypotheses, as well as a deep knowledge of the underlying mechanisms of such coupling. Our approach consists of building models either as open-loop simulators allowing us to analyze the influence of one or several internal variables on the observations, or as dynamic systems that can enhance our understanding of these underlying mechanisms to be identified in order to lead to an explanative interpretation. These explorations are illustrated by epileptic network and cardiac models, both derived at the macroscopic level.