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dc.contributor.authorLaleg-Kirati, Taous-Meriem
dc.contributor.authorBelkhatir, Zehor
dc.contributor.authorLedezma, Fernando
dc.date.accessioned2016-01-19T13:22:27Z
dc.date.available2016-01-19T13:22:27Z
dc.date.issued2014-10-14
dc.identifier.citationLaleg-Kirati TM, Belkhatir Z, Ledezma FD (2014) Application of Hybrid Dynamical Theory to the Cardiovascular System. Lecture Notes in Control and Information Sciences: 315–328. Available: http://dx.doi.org/10.1007/978-3-319-10795-0_13.
dc.identifier.issn0170-8643
dc.identifier.issn1610-7411
dc.identifier.doi10.1007/978-3-319-10795-0_13
dc.identifier.urihttp://hdl.handle.net/10754/594137
dc.description.abstractIn hybrid dynamical systems, the state evolves in continuous time as well as in discrete modes activated by internal conditions or by external events. In the recent years, hybrid systems modeling has been used to represent the dynamics of biological systems. In such systems, discrete behaviors might originate from unexpected changes in normal performance, e.g., a transition from a healthy to an abnormal condition. Simplifications, model assumptions, and/or modeled (and ignored) nonlinearities can be represented by sudden changes in the state. Modeling cardiovascular system (CVS), one of the most fascinating but most complex human physiological systems, with a hybrid approach, is the focus of this chapter. The hybrid property appears naturally in the CVS thanks to the presence of valves which, depending on their state (closed or open), divide the cardiac cycle into four phases. This chapter shows how hybrid models can be used for modeling the CVS. In addition, it describes a preliminary study on the detection of some cardiac anomalies based on the hybrid model and using the standard observer-based approach.
dc.publisherSpringer Science + Business Media
dc.titleApplication of Hybrid Dynamical Theory to the Cardiovascular System
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalLecture Notes in Control and Information Sciences
kaust.personLaleg-Kirati, Taous-Meriem
kaust.personBelkhatir, Zehor
kaust.personLedezma, Fernando


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