Cart (Loading....) | Create Account
Close category search window
 

An electrophysiological cardiac model with applications to ischemia detection and infarction localization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Mneimneh, M.A. ; Marquette Univ., Milwaukee, WI, USA ; Povinelli, R.J.

A novel electrophysiological cardiac model is introduced in this paper. The proposed cardiac model considers six key regions that characterize the cardiac electrical activity. This allows the model to solve the forward and inverse electrocardiology problems in near real time. The proposed cardiac model is used as a basis for two near real time clinical diagnostic applications. The first is the detection of myocardial ischemia. The second is the localization of myocardial infarction. These diagnostic methods use the proposed forward and inverse problem solutions and machine learning approaches to diagnose automatically, noninvasively, and accurately these two serious heart conditions. Moreover, the proposed diagnostic methods have high true positive and negative accuracies suitable to be used in clinical expert systems. The accuracies for the ischemia detection and infarction localization methods are 91% and 68.57%, respectively.

Published in:

Computers in Cardiology, 2009

Date of Conference:

13-16 Sept. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.