Characterization of Atrial Fibrillation Episodes Using a Point Process Model

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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-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.
Original languageEnglish
Title of host publication2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)
PublisherIEEE
Publication date2020
ISBN (Print)978-1-7281-5752-8
ISBN (Electronic)978-1-7281-5751-1
DOIs
Publication statusPublished - 2020
Event11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 - Virtual, Online, Italy
Duration: 15 Jul 2020 → …

Conference

Conference11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020
Country/TerritoryItaly
CityVirtual, Online
Period15/07/2020 → …

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