Quantifying Irregular Morphology Electrograms in Atrial Fibrillation Using Fractional Fourier Domains

Alejandro Gómez-Echavarría, Juan P. Ugarte, Catalina Tobón

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

A fractional Fourier transform-based strategy is proposed for the analysis of morphological irregularities of 933 simulated electrograms recorded from a 3D simulated human atria under atrial fibrillation. Optimum fractional domains are considered to quantify the non-stationary features in the signals after preprocessing and segmentation. Optimum order maps obtained with the proposed strategy are compared with approximate entropy maps generated in previous studies. The results indicate that distinct types of electrical activity can be associated with different fractional domains and that the FrFT can be sensitive to different underlying propagation patterns where the approximate entropy exhibits uniform behavior.

Idioma originalInglés
Título de la publicación alojadaApplied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings
EditoresJuan Carlos Figueroa-García, Fabián Steven Garay-Rairán, Germán Jairo Hernández-Pérez, Yesid Díaz-Gutierrez
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas245-256
Número de páginas12
ISBN (versión impresa)9783030618339
DOI
EstadoPublicada - 2020
Evento7th Workshop on Engineering Applications, WEA 2020 - Bogota, Colombia
Duración: 7 oct 20209 oct 2020

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1274 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia7th Workshop on Engineering Applications, WEA 2020
PaísColombia
CiudadBogota
Período7/10/209/10/20

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