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Benchmarking of a T-Wave Alternans detection method based on empirical mode decomposition

Highlights • A method to determine the performance of a TWA detection system is proposed. • The study accomplishes the detection of randomized alternans episodes to characterize the false alarm. • A method based on empirical mode decomposition is evaluated using Bootstrap resampling.

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 2017-07, Vol.145, p.147-155
Main Authors: Blanco–Velasco, Manuel, Goya–Esteban, Rebeca, Cruz–Roldán, Fernando, García–Alberola, Arcadi, Luis Rojo–Álvarez, José
Format: Article
Language:English
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Summary:Highlights • A method to determine the performance of a TWA detection system is proposed. • The study accomplishes the detection of randomized alternans episodes to characterize the false alarm. • A method based on empirical mode decomposition is evaluated using Bootstrap resampling.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2017.04.005