Estimating endocardial potentials from a noncontact probe

Lorraine G. Olson; Robert D. Throne; John R. Windle

doi:10.1016/B978-008044046-0.50435-8

Estimating endocardial potentials from a noncontact probe

Lorraine G. Olson, Robert D. Throne, John R. Windle

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

We compare three inverse algorithms - zero-order Tikhonov, first-order Tikhonov, and first-order Generalized Eigensystem regularization - for their ability to estimate the endocardial potentials from measured probe potentials and known geometric data. For each method, the Composite Residual Error and Smoothing Operator (CRESO) technique was used to estimate the regularization parameter. For the preliminary data examined here, higher-order regularization produced higher correlation coefficients between the estimated and measured endocardial electrograms.

Original language	English (US)
Title of host publication	Computational Fluid and Solid Mechanics 2003
Publisher	Elsevier Inc.
Pages	1782-1785
Number of pages	4
ISBN (Electronic)	9780080529479
ISBN (Print)	9780080440460
DOIs	https://doi.org/10.1016/B978-008044046-0.50435-8
State	Published - Jun 2 2003

Keywords

Electrocardiography
GeneraUzed Eigensystem method
Inverse problems
Tikhonov regularization

ASJC Scopus subject areas

Engineering(all)

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10.1016/B978-008044046-0.50435-8

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title = "Estimating endocardial potentials from a noncontact probe",

abstract = "We compare three inverse algorithms - zero-order Tikhonov, first-order Tikhonov, and first-order Generalized Eigensystem regularization - for their ability to estimate the endocardial potentials from measured probe potentials and known geometric data. For each method, the Composite Residual Error and Smoothing Operator (CRESO) technique was used to estimate the regularization parameter. For the preliminary data examined here, higher-order regularization produced higher correlation coefficients between the estimated and measured endocardial electrograms.",

keywords = "Electrocardiography, GeneraUzed Eigensystem method, Inverse problems, Tikhonov regularization",

author = "Olson, {Lorraine G.} and Throne, {Robert D.} and Windle, {John R.}",

year = "2003",

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TY - CHAP

T1 - Estimating endocardial potentials from a noncontact probe

AU - Olson, Lorraine G.

AU - Throne, Robert D.

AU - Windle, John R.

PY - 2003/6/2

Y1 - 2003/6/2

N2 - We compare three inverse algorithms - zero-order Tikhonov, first-order Tikhonov, and first-order Generalized Eigensystem regularization - for their ability to estimate the endocardial potentials from measured probe potentials and known geometric data. For each method, the Composite Residual Error and Smoothing Operator (CRESO) technique was used to estimate the regularization parameter. For the preliminary data examined here, higher-order regularization produced higher correlation coefficients between the estimated and measured endocardial electrograms.

AB - We compare three inverse algorithms - zero-order Tikhonov, first-order Tikhonov, and first-order Generalized Eigensystem regularization - for their ability to estimate the endocardial potentials from measured probe potentials and known geometric data. For each method, the Composite Residual Error and Smoothing Operator (CRESO) technique was used to estimate the regularization parameter. For the preliminary data examined here, higher-order regularization produced higher correlation coefficients between the estimated and measured endocardial electrograms.

KW - Electrocardiography

KW - GeneraUzed Eigensystem method

KW - Inverse problems

KW - Tikhonov regularization

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DO - 10.1016/B978-008044046-0.50435-8

M3 - Chapter

AN - SCOPUS:84941617193

SN - 9780080440460

SP - 1782

EP - 1785

BT - Computational Fluid and Solid Mechanics 2003

PB - Elsevier Inc.

ER -

Estimating endocardial potentials from a noncontact probe

Abstract

Keywords

ASJC Scopus subject areas

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