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
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
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
UR - http://www.scopus.com/inward/record.url?scp=85094123744&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-61834-6_21
DO - 10.1007/978-3-030-61834-6_21
M3 - Contribución a la conferencia
AN - SCOPUS:85094123744
SN - 9783030618339
T3 - Communications in Computer and Information Science
SP - 245
EP - 256
BT - Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings
A2 - Figueroa-García, Juan Carlos
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
ER -