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A multilead scheme based on periodic component analysis for T-Wave alternans analysis in the ECG

Abstract:

T-wave alternans (TWA) is a cardiac phenomenon that appears in the electrocardiogram (ECG) and is associated with the mechanisms leading to sudden cardiac death (SCD). In this study, we propose the use of a multilead TWA analysis scheme that combines the Laplacian likelihood ratio (LLR) method and periodic component analysis (πCA), an eigenvalue decomposition technique whose aim is to extract the most periodic sources of the signal. The proposed scheme is evaluated in different scenarios-from synthetic signals to stress test ECGs-and is compared to other reported schemes based on the LLR method. Results demonstrate that the pCA-based scheme provides a superior ability to detect TWA than previously reported schemes, and has the potential to improve the prognostic value of testing for TWA. © 2010 Biomedical Engineering Society.