A Reconstructed Phase Space Approach for Distinguishing Ischemic from Non-Ischemic ST Changes using Holter ECG Data

Document Type

Conference Proceeding



Format of Original

4 p.

Publication Date



Institute of Electrical and Electronics Engineers

Source Publication

Computers in Cardiology, 2003

Source ISSN


Original Item ID

doi: 10.1109/CIC.2003.1291136


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.


Published as part of the proceedings of the conference, Computers in Cardiology, 2003: 243-246. DOI.