Quantifying Irregular Morphology Electrograms in Atrial Fibrillation Using Fractional Fourier Domains

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationApplied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings
EditorsJuan Carlos Figueroa-García, Fabián Steven Garay-Rairán, Germán Jairo Hernández-Pérez, Yesid Díaz-Gutierrez
PublisherSpringer Science and Business Media Deutschland GmbH
Pages245-256
Number of pages12
ISBN (Print)9783030618339
DOIs
StatePublished - 2020
Event7th Workshop on Engineering Applications, WEA 2020 - Bogota, Colombia
Duration: 7 Oct 20209 Oct 2020

Publication series

NameCommunications in Computer and Information Science
Volume1274 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference7th Workshop on Engineering Applications, WEA 2020
CountryColombia
CityBogota
Period7/10/209/10/20

Keywords

  • Atrial electrograms
  • Atrial Fibrillation
  • Fractional Fourier Transform
  • Irregular morphology signal

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