Characterization of Atrial Fibrillation Episodes Using a Point Process Model
Martin-Yebra, Alba; Henriksson, Mikael; Rasmussen, Jakob G.; Sornmo, Leif (2020-07). Characterization of Atrial Fibrillation Episodes Using a Point Process Model 2020 11th Conference of the European Study Group on Cardiovascular Oscillations : Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020. 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020. Virtual, Online, Italy: IEEE - Institute of Electrical and Electronics Engineers Inc.
Conference Proceeding/Paper
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Published
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English
Authors:
Martin-Yebra, Alba
;
Henriksson, Mikael
;
Rasmussen, Jakob G.
;
Sornmo, Leif
Department:
Department of Biomedical Engineering
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.
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