Paper Info
Title
Computing the size and location of myocardial ischemia using measurements of ST-segment shift.
Abstract
It is well known that the presence of myocardial ischemia can be observed as a shift in the ST segment of an electrocardiogram (ECG) recording. The question we address in this paper is whether or not ST shift can be used to compute approximations of the size and location of the ischemic region. We begin by investigating a cost functional (measuring the difference between synthetic recorded data and simulated values of ST shift) for a parameter identification problem to locate the ischemic region. We then formulate a more flexible representation of the ischemia using a level set framework and solve the associated minimization problem for the size and position of the ischemia. We apply this framework to a set of ECG data generated by the Bidomain model using the cell model of Winslow et al. Based on this data, we show that values of ST shift recorded at the body surface are capable of identifying the position and (roughly) the size of the ischemia.
Year
DOI
Venue
2006
10.1109/TBME.2005.863928
IEEE transactions on bio-medical engineering
Keywords
Field
DocType
level set framework,electrocardiography,parameter estimation,ecg,medical signal processing,myocardial ischemia,bidomain model,myocardial ischemia location,inverse problem,minimization problem,parameter identification,myocardial ischemia size,electrocardiogram,minimisation,level set method,st-segment shift
Biomedical engineering,Computer science,Level set,Artificial intelligence,Inverse problem,Estimation theory,Electrocardiography,Parameter identification problem,Computer vision,ST segment,Bidomain model,Level set method,Algorithm
Journal
Volume
Issue
ISSN
53
6
0018-9294
Citations 
PageRank 
References 
10
1.03
2
Authors
4
Name
Order
Citations
PageRank
Mary C MacLachlan1101.03
Bjørn Fredrik Nielsen2668.83
Marius Lysaker341520.64
Aslak Tveito47332.49