Development of patient specific cardiovascular models predicting dynamics in response to orthostatic stress challenges

Johnny T. Ottesen

doi:10.1007/978-3-642-32882-4

Development of patient specific cardiovascular models predicting dynamics in response to orthostatic stress challenges

Johnny T. Ottesen

Matematik og Fysik (IMFUFA)

Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › peer review

Abstract

Physiological realistic models of the controlled cardiovascular system
are constructed and validated against clinical data. Special attention is paid
to the control of blood pressure, cerebral blood flow velocity, and heart
rate during postural challenges, including sit-to-stand and head-up tilt. This
study describes development of patient specific models, and how sensitivity
analysis and nonlinear optimization methods can be used to predict patient
specific characteristics when analyzed using experimental data. Finally, we
discuss how a given model can be used to understand physiological changes
between groups of individuals and how to use modeling to identify biomarkers

Originalsprog	Engelsk
Titel	Mathematical Modeling and Validation in Physiology : Applications to the cardiovascular and respiratory systems
Redaktører	Jerry Batzel, Mostafa Bachar, Franz Kappel
Antal sider	37
Udgivelsessted	Hedelberg
Forlag	Springer
Publikationsdato	2013
Sider	177-214
Kapitel	10
ISBN (Trykt)	978-3-642-32881-7
ISBN (Elektronisk)	978-3-642-32882-4
DOI	https://doi.org/10.1007/978-3-642-32882-4
Status	Udgivet - 2013

Navn	Lecture Notes in Mathematics
Vol/bind	2064
ISSN	0075-8434

Adgang til dokumentet

10.1007/978-3-642-32882-4

Citationsformater

Ottesen, Johnny T. / Development of patient specific cardiovascular models predicting dynamics in response to orthostatic stress challenges. Mathematical Modeling and Validation in Physiology: Applications to the cardiovascular and respiratory systems. red. / Jerry Batzel ; Mostafa Bachar ; Franz Kappel. Hedelberg : Springer, 2013. s. 177-214 (Lecture Notes in Mathematics, Bind 2064).

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abstract = "Physiological realistic models of the controlled cardiovascular system are constructed and validated against clinical data. Special attention is paid to the control of blood pressure, cerebral blood flow velocity, and heart rate during postural challenges, including sit-to-stand and head-up tilt. This study describes development of patient specific models, and how sensitivity analysis and nonlinear optimization methods can be used to predict patient specific characteristics when analyzed using experimental data. Finally, we discuss how a given model can be used to understand physiological changes between groups of individuals and how to use modeling to identify biomarkers",

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year = "2013",

doi = "10.1007/978-3-642-32882-4",

language = "English",

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Ottesen, JT 2013, Development of patient specific cardiovascular models predicting dynamics in response to orthostatic stress challenges. i J Batzel, M Bachar & F Kappel (red), Mathematical Modeling and Validation in Physiology: Applications to the cardiovascular and respiratory systems. Springer, Hedelberg, Lecture Notes in Mathematics, bind 2064, s. 177-214. https://doi.org/10.1007/978-3-642-32882-4

Development of patient specific cardiovascular models predicting dynamics in response to orthostatic stress challenges. / Ottesen, Johnny T.
Mathematical Modeling and Validation in Physiology: Applications to the cardiovascular and respiratory systems. red. / Jerry Batzel; Mostafa Bachar; Franz Kappel. Hedelberg: Springer, 2013. s. 177-214 (Lecture Notes in Mathematics, Bind 2064).

Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › peer review

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Ottesen JT. Development of patient specific cardiovascular models predicting dynamics in response to orthostatic stress challenges. I Batzel J, Bachar M, Kappel F, red., Mathematical Modeling and Validation in Physiology: Applications to the cardiovascular and respiratory systems. Hedelberg: Springer. 2013. s. 177-214. (Lecture Notes in Mathematics, Bind 2064). doi: 10.1007/978-3-642-32882-4