NDLI: Spatial regularization of the electrocardiographic inverse problem and its application to endocardial mapping

Content Provider	IEEE Xplore Digital Library
Author	Velipasaoglu, E.O. Huabin Sun Fulong Zhang Berrier, K.L. Khoury, D.S.
Copyright Year	1964
Abstract	Numeric regularization methods for solving the inverse problem of electrocardiography in realistic volume conductor models have been mostly limited to uniform regularization in the spatial domain. A method of spatial regularization (SR) was developed and tested in canine, where each spatial spectral component of the volume conductor model was considered separately, and a SR operator was selected based on explicit a posteriori criterion at each time instant through the heartbeat. The inverse problem was solved in the left ventricle by reconstructing endocardial surface electrograms based on cavitary electrograms measured with the use of a noncontact, multielectrode probe. The results were validated based on electrograms measured in situ at the same endocardial locations using an integrated, multielectrode basket-catheter. A probe-endocardium three-dimensional model was determined from multiplane fluoroscopic images. The boundary element method was applied to solve the boundary value problem and derive the relationship between endocardial and probe potentials. Endocardial electrograms mere reconstructed during both normal and paced rhythms using SR as well as standard, uniform, zeroth-order Tikhonov (ZOT) regularization. Compared to endocardial electrograms measured by the basket, electrograms reconstructed using SR [relative error (RE)=0.32, correlation coefficient (CC)=0.97, activation error=3.3 ms] were superior to electrograms reconstructed using ZOT regularization (RE=0.59, CC=0.79, activation error=4.9 ms), Therefore, regularization based on spatial spectral components of the model improves the solution of the inverse problem of electrocardiography compared to uniform regularization.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	11
File Size	444440
Starting Page	327
Ending Page	337
File Format	PDF
ISSN	00189294
Volume Number	47
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Inverse problems Strontium Image reconstruction Electrocardiography Conductors Probes Testing Heart beat Surface reconstruction Boundary element methods
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Boundary Element Computations in the Forward and Inverse Problems of Electrocardiography: Comparison of Collocation and Galerkin Weightings

Finite-Element-Based Discretization and Regularization Strategies for 3-D Inverse Electrocardiography

Wavefront-based models for inverse electrocardiography

Three-dimensional myocardial activation imaging in a rabbit model

The Inverse Problem Utilizing the Boundary Element Method for a Nonstandard Female Torso

The use of temporal information in the regularization of the inverse problem of electrocardiography

The potential for Laplacian maps to solve the inverse problem of electrocardiography

Solving the inverse problem of electrocardiography using a Duncan and Horn formulation of the Kalman filter

Regional regularization of the electrocardiographic inverse problem: a model study using spherical geometry

Spatial regularization of the electrocardiographic inverse problem and its application to endocardial mapping

Similar Documents

Boundary Element Computations in the Forward and Inverse Problems of Electrocardiography: Comparison of Collocation and Galerkin Weightings

Finite-Element-Based Discretization and Regularization Strategies for 3-D Inverse Electrocardiography

Wavefront-based models for inverse electrocardiography

Three-dimensional myocardial activation imaging in a rabbit model

The Inverse Problem Utilizing the Boundary Element Method for a Nonstandard Female Torso

The use of temporal information in the regularization of the inverse problem of electrocardiography

The potential for Laplacian maps to solve the inverse problem of electrocardiography

Solving the inverse problem of electrocardiography using a Duncan and Horn formulation of the Kalman filter

Regional regularization of the electrocardiographic inverse problem: a model study using spherical geometry

Spatial regularization of the electrocardiographic inverse problem and its application to endocardial mapping