Quantifying Irregular Morphology Electrograms in Atrial Fibrillation Using Fractional Fourier Domains

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

doi:10.1007/978-3-030-61834-6_21

Quantifying Irregular Morphology Electrograms in Atrial Fibrillation Using Fractional Fourier Domains

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

Grupo de Investigación en Materiales Nanoestructurados y Biomodelación

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión 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 original	Inglés
Título de la publicación alojada	Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings
Editores	Juan Carlos Figueroa-García, Fabián Steven Garay-Rairán, Germán Jairo Hernández-Pérez, Yesid Díaz-Gutierrez
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	245-256
Número de páginas	12
ISBN (versión impresa)	9783030618339
DOI	https://doi.org/10.1007/978-3-030-61834-6_21
Estado	Publicada - 2020
Evento	7th Workshop on Engineering Applications, WEA 2020 - Bogota, Colombia Duración: 7 oct 2020 → 9 oct 2020

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1274 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	7th Workshop on Engineering Applications, WEA 2020
País	Colombia
Ciudad	Bogota
Período	7/10/20 → 9/10/20

Acceder al documento

10.1007/978-3-030-61834-6_21

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Citar esto

Gómez-Echavarría, A., Ugarte, J. P., & Tobón, C. (2020). Quantifying Irregular Morphology Electrograms in Atrial Fibrillation Using Fractional Fourier Domains. En J. C. Figueroa-García, F. S. Garay-Rairán, G. J. Hernández-Pérez, & Y. Díaz-Gutierrez (Eds.), Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings (pp. 245-256). (Communications in Computer and Information Science; Vol. 1274 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-61834-6_21

Gómez-Echavarría, Alejandro ; Ugarte, Juan P. ; Tobón, Catalina. / Quantifying Irregular Morphology Electrograms in Atrial Fibrillation Using Fractional Fourier Domains. Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings. editor / Juan Carlos Figueroa-García ; Fabián Steven Garay-Rairán ; Germán Jairo Hernández-Pérez ; Yesid Díaz-Gutierrez. Springer Science and Business Media Deutschland GmbH, 2020. pp. 245-256 (Communications in Computer and Information Science).

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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.",

keywords = "Atrial electrograms, Atrial Fibrillation, Fractional Fourier Transform, Irregular morphology signal",

author = "Alejandro G{\'o}mez-Echavarr{\'i}a and Ugarte, {Juan P.} and Catalina Tob{\'o}n",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; null ; Conference date: 07-10-2020 Through 09-10-2020",

year = "2020",

doi = "10.1007/978-3-030-61834-6_21",

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Gómez-Echavarría, A, Ugarte, JP & Tobón, C 2020, Quantifying Irregular Morphology Electrograms in Atrial Fibrillation Using Fractional Fourier Domains. En JC Figueroa-García, FS Garay-Rairán, GJ Hernández-Pérez & Y Díaz-Gutierrez (eds.), Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings. Communications in Computer and Information Science, vol. 1274 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 245-256, 7th Workshop on Engineering Applications, WEA 2020, Bogota, Colombia, 7/10/20. https://doi.org/10.1007/978-3-030-61834-6_21

Quantifying Irregular Morphology Electrograms in Atrial Fibrillation Using Fractional Fourier Domains. / Gómez-Echavarría, Alejandro; Ugarte, Juan P.; Tobón, Catalina.

Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings. ed. / Juan Carlos Figueroa-García; Fabián Steven Garay-Rairán; Germán Jairo Hernández-Pérez; Yesid Díaz-Gutierrez. Springer Science and Business Media Deutschland GmbH, 2020. p. 245-256 (Communications in Computer and Information Science; Vol. 1274 CCIS).

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Quantifying Irregular Morphology Electrograms in Atrial Fibrillation Using Fractional Fourier Domains

AU - Gómez-Echavarría, Alejandro

AU - Ugarte, Juan P.

AU - Tobón, Catalina

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Atrial electrograms

KW - Atrial Fibrillation

KW - Fractional Fourier Transform

KW - Irregular morphology signal

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SN - 9783030618339

T3 - Communications in Computer and Information Science

SP - 245

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BT - Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings

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A2 - Garay-Rairán, Fabián Steven

A2 - Hernández-Pérez, Germán Jairo

A2 - Díaz-Gutierrez, Yesid

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 7 October 2020 through 9 October 2020

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Gómez-Echavarría A, Ugarte JP, Tobón C. Quantifying Irregular Morphology Electrograms in Atrial Fibrillation Using Fractional Fourier Domains. En Figueroa-García JC, Garay-Rairán FS, Hernández-Pérez GJ, Díaz-Gutierrez Y, editores, Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 245-256. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-030-61834-6_21