Document Detail


The electrocardiographic inverse problem.
MedLine Citation:
PMID:  1424685     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Using the boundary element method in conjunction with Tikhonov zero-order regularization, we have computed epicardial potentials from body surface potential data in a realistic geometry heart-torso system. The inverse-reconstructed epicardial potentials were compared to the actual measured potentials throughout a normal cardiac cycle. Potential features (maxima, minima) were recovered with an accuracy better than 1 cm in their location. In this chapter, we use these data to illustrate and discuss computational issues related to the inverse-reconstruction procedure. These include the boundary element method, the choice of a regularization scheme to stabilize the inversion, and the effects of incorporating a priori information on the accuracy of the solution. In particular, emphasis is on the use of temporal information in the regularization procedure. The sensitivity of the solution to geometrical errors and to the spatial and temporal resolution of the data is discussed.
Authors:
Y Rudy; H S Oster
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.; Review    
Journal Detail:
Title:  Critical reviews in biomedical engineering     Volume:  20     ISSN:  0278-940X     ISO Abbreviation:  Crit Rev Biomed Eng     Publication Date:  1992  
Date Detail:
Created Date:  1992-12-01     Completed Date:  1992-12-01     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8208627     Medline TA:  Crit Rev Biomed Eng     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  25-45     Citation Subset:  IM    
Affiliation:
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.
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MeSH Terms
Descriptor/Qualifier:
Animals
Child
Dogs
Electrocardiography*
Humans
Male
Models, Cardiovascular*
Grant Support
ID/Acronym/Agency:
HL-33343/HL/NHLBI NIH HHS; P41 RR06009-01/RR/NCRR NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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