DocumentCode
541671
Title
Enhanced computer modeling of cardiac action potential dynamics using experimental data-based feedback
Author
Munoz, Laura M. ; Otani, Niels F.
Author_Institution
Dept. of Biomed. Sci., Cornell Univ., Ithaca, NY, USA
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
837
Lastpage
840
Abstract
Mathematical models of cardiac action potential (AP) dynamics are useful for studying the formation of dynamically significant patterns such as alternans and conduction block. A closed-loop observer is an augmented version of a mathematical model, in which experimental data are supplied to the model through feedback. In this study, tools for observer analysis were applied to a two-variable Karma model of AP dynamics. For a single-cell system, it was confirmed that membrane potential data could be used to reconstruct the system state, and that Luenberger feedback could stabilize the observer. Next an observer with a 1D geometry was tested with microelectrode membrane-potential data from a 2.1cm in vitro canine Purkinje fiber. It was shown that the observer produced more accurate AP duration (APD) estimates than the model by itself. These reconstructed quantities could be used to provide enhanced information to anti-tachyarrhythmic stimulus protocols that depend on real-time measurements.
Keywords
bioelectric potentials; biomedical measurement; biomembrane transport; data analysis; diseases; mathematical analysis; medical computing; Luenberger feedback; antitachyarrhythmic stimulus protocols; augmented mathematical model; biomedical measurement; cardiac action potential dynamics; enhanced computer modeling; experimental data-based feedback; in vitro canine Purkinje fiber; ion-channel models; microelectrode membrane potential data; size 2.1 cm; two-variable Karma model; Biomembranes; Computational modeling; Eigenvalues and eigenfunctions; Mathematical model; Observability; Observers; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology, 2010
Conference_Location
Belfast
ISSN
0276-6547
Print_ISBN
978-1-4244-7318-2
Type
conf
Filename
5738103
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