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Characterization of Atrial Fibrillation Episodes Using a Point Process Model

Martin-Yebra, Alba ; Henriksson, Mikael LU ; Rasmussen, Jakob G. and Sornmo, Leif LU (2020) 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 In 2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020
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.

Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2020 11th Conference of the European Study Group on Cardiovascular Oscillations : Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020 - Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020
series title
2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020
article number
9158173
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020
conference location
Virtual, Online, Italy
conference dates
2020-07-15
external identifiers
  • scopus:85091056533
ISBN
9781728157511
DOI
10.1109/ESGCO49734.2020.9158173
language
English
LU publication?
yes
id
7587467a-da17-4628-8d98-e81241780ba6
date added to LUP
2021-01-12 13:19:27
date last changed
2022-04-19 03:38:30
@inproceedings{7587467a-da17-4628-8d98-e81241780ba6,
  abstract     = {{<p>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. </p>}},
  author       = {{Martin-Yebra, Alba and Henriksson, Mikael and Rasmussen, Jakob G. and Sornmo, Leif}},
  booktitle    = {{2020 11th Conference of the European Study Group on Cardiovascular Oscillations : Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020}},
  isbn         = {{9781728157511}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020}},
  title        = {{Characterization of Atrial Fibrillation Episodes Using a Point Process Model}},
  url          = {{http://dx.doi.org/10.1109/ESGCO49734.2020.9158173}},
  doi          = {{10.1109/ESGCO49734.2020.9158173}},
  year         = {{2020}},
}