Document Type
Conference Proceeding
Language
eng
Format of Original
4 p.
Publication Date
9-21-2003
Publisher
Institute of Electrical and Electronics Engineers
Source Publication
Computers in Cardiology, 2003
Source ISSN
0276-6547
Original Item ID
doi: 10.1109/CIC.2003.1291136
Abstract
A method for the classification of ST events through the use of reconstructed phase spaces of the ECG signal is proposed. There is a clinical need for the creation of an automated system for classification of ST events as ischemic or non-ischemic as existing ischemia detection methods are expensive, invasive, or both. The algorithm proposed herein attempts to classify events using the 16 beats surrounding a given ST event. The ST segment and T wave of each of these beats is embedded in a phase space and then modelled and classified through the use of Gaussian mixture models (GMM). Using ten-fold cross validation of available training data the sensitivity and specificity were 81.0% and 88.1% respectively.
Recommended Citation
Zimmerman, Michael W.; Povinelli, Richard J.; Johnson, Michael T.; and Ropella, Kristina M., "A Reconstructed Phase Space Approach for Distinguishing Ischemic from Non-Ischemic ST Changes using Holter ECG Data" (2003). Electrical and Computer Engineering Faculty Research and Publications. 125.
https://epublications.marquette.edu/electric_fac/125
Comments
Accepted version. Published as part of the proceedings of the conference, Computers in Cardiology, 2003: 243-246. DOI. © 2003 The Institute of Electrical and Electronics Engineers. Used with permission.