Observers for the Seidel–Herzel model of human autonomic-cardiorespiratory system

Othmane, Amine; Mounier, Hugues

Please use this identifier to cite or link to this item: doi:10.22028/D291-37192

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Title:	Observers for the Seidel–Herzel model of human autonomic-cardiorespiratory system
Author(s):	Othmane, Amine Mounier, Hugues
Editor(s):	Benyo, Balazs
Language:	English
Title:	IFAC-PapersOnLine
Volume:	54
Issue:	15
Startpage:	514
Endpage:	519
Publisher/Platform:	Elsevier
Year of Publication:	2021
Place of the conference:	Ghent, Belgium
Free key words:	Nonlinear observers physiology autonomic-cardiorespiratory system
DDC notations:	600 Technology
Publikation type:	Conference Paper
Abstract:	The Seidel-Herzel model of the autonomic-cardiorespiratory system is used in this work to derive three observers for the estimation of the concentrations of the neurotransmitters and external excitations of the sympathetic and parasympathetic systems. The observers require noninvasive measurements of respiration and blood pressure which simplifies the development of patient-specific applications. The errors stemming from model approximations and uncertain parameters are analyzed. The applicability of the approach is discussed in a simulation study.
DOI of the first publication:	10.1016/j.ifacol.2021.10.308
URL of the first publication:	https://www.sciencedirect.com/science/article/pii/S2405896321017134
Link to this record:	urn:nbn:de:bsz:291--ds-371929 hdl:20.500.11880/33736 http://dx.doi.org/10.22028/D291-37192
ISSN:	2405-8963
Date of registration:	13-Sep-2022
Notes:	IFAC-PapersOnLine, Volume 54, Issue 15, 2021, Pages 514-519
Faculty:	NT - Naturwissenschaftlich- Technische Fakultät
Department:	NT - Systems Engineering
Professorship:	NT - Prof. Dr. Joachim Rudolph
Collections:	SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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