Estimation of T-Wave Alternans from multi-lead ECG signals using a modified moving average method

G. M. Nijm, S. Swiryn, A. C. Larson, A. V. Sahakian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


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 μV (43.9 ± 49.7 μV). 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.

Original languageEnglish (US)
Title of host publicationComputers in Cardiology 2008, CAR
Number of pages4
StatePublished - Dec 1 2008
EventComputers in Cardiology 2008, CAR - Bologna, Italy
Duration: Sep 14 2008Sep 17 2008

Publication series

NameComputers in Cardiology
ISSN (Print)0276-6574


OtherComputers in Cardiology 2008, CAR

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine


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