Managing limited ECG access in a clinical cardiac electrophysiology setting

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Publication Type honors thesis
School or College College of Engineering
Department Bioengineering
Faculty Mentor Rob MacLeod
Creator Wang, Minna
Title Managing limited ECG access in a clinical cardiac electrophysiology setting
Year graduated 2016
Date 2016-05
Description Electrocardiographic Imaging (ECGI) is a computational approach that seeks to reconstruct cardiac electrical activity with high precision from body surface ECGs by solving a numerical inverse problem. Though there have been great advancements in ECGI, there is still a need for progress in specific applications, including discernment of ectopic foci and reconstruction of other arrhythmias. In order to improve and validate the localization of ectopic regions using ECGI, it is necessary to record high resolution ECGs known as " body surface potential maps " during stimulation of the heart from known ectopic foci. Such measurements typically occur in the catheterization lab during invasive procedures such as device placement or during diagnostic evaluation of cardiac electrical stability using catheter based stimulation electrodes. However, there are spatial constraints on electrode placement on the body, such as defibrillator patches (for patient safety) and sterile fields. (for device implantation). To overcome the resulting limits in body surface electrode placement and coverage, one can use estimation algorithms to utilize spatial redundancy and draw equivalent data from reduced numbers of strategically place electrodes. In this study, we applied a body surface estimation and limited lead selection algorithm to body surface mapping data and determined a patient specific lead placement strategy to acquire body surface maps in ECGI verification studies.
Type Text
Publisher University of Utah
Subject Electrocardiography - Research; Heart - Diseases - Diagnosis; Body surface potentials
Language eng
Rights Management (c) Minna Wang
Format Medium application/pdf
Format Extent 25,083 bytes
Identifier honors/id/57
Permissions Reference URL
ARK ark:/87278/s6768qk3
Setname ir_htoa
Date Created 2016-06-28
Date Modified 2021-05-06
ID 205709
Reference URL
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