By Topic

Estimation of T-wave alternans from multi-lead ECG signals using a modified moving average method

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
$33 $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

4 Author(s)
G. M. Nijm ; Northwestern University, Evanston, IL, USA ; S. Swiryn ; A. C. Larson ; A. V. Sahakian

T-wave alternans (TWA) manifests on the surface ECG as a pattern of alternating amplitude T-waves, typically in the microvolt range. Consequently, TWA is usually invisible at standard ECG display scales and must be detected using signal processing methods. There is a predictive relationship between TWA and sudden cardiac death, so proper detection and estimation may contribute to clinical decision-making. The objective of the 2008 Physionet/Computers in Cardiology Challenge was to estimate the magnitude of TWA in a dataset of 100 multi-lead ECGs. We used a modified moving average method (MMA) to detect and estimate TWA. We found that the TWA magnitude ranged from to 1.3 to 256.9 muV (43.9 plusmn 49.7 muV). The Kendall rank correlation coefficient obtained for the challenge was 0.451. In conclusion, the MMA method can be used for detection and estimation of TWA, though additional work could further improve the method.

Published in:

2008 Computers in Cardiology

Date of Conference:

14-17 Sept. 2008