Characterization of Atrial Fibrillation Episodes Using a Point Process Model

Alba Martin-Yebra, Mikael Henriksson, Jakob G. Rasmussen, Leif Sornmo

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstract

The purpose of the present study is to introduce a point process model for characterizing the pattern of atrial fibrillation (AF) episodes. A variant of the bivariate Hawkes process is proposed, accounting for clustered episodes. The model parameters are inferred by the maximum likelihood method. The goodness-of-fit analysis show that model fits the data in most of the recordings (27 out of 32). The information provided by this approach is complementary to AF burden.
OriginalsprogEngelsk
Titel2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)
ForlagIEEE
Publikationsdato2020
ISBN (Trykt)978-1-7281-5752-8
ISBN (Elektronisk)978-1-7281-5751-1
DOI
StatusUdgivet - 2020
Begivenhed11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 - Virtual, Online, Italien
Varighed: 15 jul. 2020 → …

Konference

Konference11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020
Land/OmrådeItalien
ByVirtual, Online
Periode15/07/2020 → …

Bibliografisk note

Funding Information:
*This work was supported by the Swedish Research Council, grant #2016-03382. 1Alba Martín-Yebra, Mikael Henriksson and Leif Sörnmo are with the Department of Biomedical Engineering and Center for Integrative Elec-trocardiology, Lund University, Lund, Sweden alba.martin@bme.lth.se 2Jakob G. Rasmussen is with the Department of Mathematical Sciences, Aalborg University, Aalborg, Denmark

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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