Data assimilation for an electro-mechanical model of the myocardium

Jacques Sainte-Marie; Dominique Chapelle; Michel Sorine

doi:10.1016/B978-008044046-0.50440-1

Data assimilation for an electro-mechanical model of the myocardium

Jacques Sainte-Marie
, Dominique Chapelle
, Michel Sorine

INRIA Rocquencourt

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Using an excitation-contraction model relying on a physiological basis and applied within a rheological model of Hill-Maxwell type, an electrically activated mechanical model of the myocardium is presented. Then a data assimilation technique is formulated and demonstrated in order to estimate - from experimental data - the state and parameters of the model. Some of these parameters are crucial for medical purposes in order to detect activation and contraction troubles, hence to diagnose heart pathologies.

Original language	English
Title of host publication	Computational Fluid and Solid Mechanics 2003
Publisher	Elsevier Inc.
Pages	1801-1804
Number of pages	4
ISBN (Electronic)	9780080529479
ISBN (Print)	9780080440460
DOIs	https://doi.org/10.1016/B978-008044046-0.50440-1
Publication status	Published - 2 Jun 2003
Externally published	Yes

Keywords

Data assimilation
Electrical activation
Heart mechanical model
In-vivo measurements

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10.1016/B978-008044046-0.50440-1

Cite this

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title = "Data assimilation for an electro-mechanical model of the myocardium",

abstract = "Using an excitation-contraction model relying on a physiological basis and applied within a rheological model of Hill-Maxwell type, an electrically activated mechanical model of the myocardium is presented. Then a data assimilation technique is formulated and demonstrated in order to estimate - from experimental data - the state and parameters of the model. Some of these parameters are crucial for medical purposes in order to detect activation and contraction troubles, hence to diagnose heart pathologies.",

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author = "Jacques Sainte-Marie and Dominique Chapelle and Michel Sorine",

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AU - Chapelle, Dominique

AU - Sorine, Michel

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N2 - Using an excitation-contraction model relying on a physiological basis and applied within a rheological model of Hill-Maxwell type, an electrically activated mechanical model of the myocardium is presented. Then a data assimilation technique is formulated and demonstrated in order to estimate - from experimental data - the state and parameters of the model. Some of these parameters are crucial for medical purposes in order to detect activation and contraction troubles, hence to diagnose heart pathologies.

AB - Using an excitation-contraction model relying on a physiological basis and applied within a rheological model of Hill-Maxwell type, an electrically activated mechanical model of the myocardium is presented. Then a data assimilation technique is formulated and demonstrated in order to estimate - from experimental data - the state and parameters of the model. Some of these parameters are crucial for medical purposes in order to detect activation and contraction troubles, hence to diagnose heart pathologies.

KW - Data assimilation

KW - Electrical activation

KW - Heart mechanical model

KW - In-vivo measurements

UR - https://www.scopus.com/pages/publications/24944515627

U2 - 10.1016/B978-008044046-0.50440-1

DO - 10.1016/B978-008044046-0.50440-1

M3 - Chapter

AN - SCOPUS:24944515627

SN - 9780080440460

SP - 1801

EP - 1804

BT - Computational Fluid and Solid Mechanics 2003

PB - Elsevier Inc.

ER -

Data assimilation for an electro-mechanical model of the myocardium

Abstract

Keywords

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