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Electrocardiogram modeling during paroxysmal atrial fibrillation : Application to the detection of brief episodes

Petrenas, Andrius; Marozas, Vaidotas; Sološenko, Andrius; Kubilius, Raimondas; Skibarkiene, Jurgita; Oster, Julien and Sörnmo, Leif LU (2017) In Physiological Measurement 38(11). p.2058-2080
Abstract

Objective: A model for simulating multi-lead ECG signals during paroxysmal atrial fibrillation (AF) is proposed. Significance: The model is of particular significance when evaluating detection performance in the presence of brief AF episodes, especially since annotated databases with such episodes are lacking. Approach: The proposed model accounts for important characteristics such as switching between sinus rhythm and AF, varying P-wave morphology, repetition rate of f-waves, presence of atrial premature beats, and various types of noise. Main results: Two expert cardiologists assessed the realism of simulated signals relative to real ECG signals, both in sinus rhythm and AF. The cardiologists identified the correct rhythm in all... (More)

Objective: A model for simulating multi-lead ECG signals during paroxysmal atrial fibrillation (AF) is proposed. Significance: The model is of particular significance when evaluating detection performance in the presence of brief AF episodes, especially since annotated databases with such episodes are lacking. Approach: The proposed model accounts for important characteristics such as switching between sinus rhythm and AF, varying P-wave morphology, repetition rate of f-waves, presence of atrial premature beats, and various types of noise. Main results: Two expert cardiologists assessed the realism of simulated signals relative to real ECG signals, both in sinus rhythm and AF. The cardiologists identified the correct rhythm in all cases, and considered two-thirds of the simulated signals as realistic. The proposed model was also investigated by evaluating the performance of two AF detectors which explored either rhythm only or both rhythm and morphology. The results show that detection performance is strongly dependent on AF episode duration, and, consequently, demonstrate that the model can play a significant role in the investigation of detector properties.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
12-lead ECG, Atrial fibrillation, Brief episodes, Detection, ECG signal, Simulation model
in
Physiological Measurement
volume
38
issue
11
pages
23 pages
publisher
IOP Publishing
external identifiers
  • scopus:85034787798
  • wos:000414292000002
ISSN
0967-3334
DOI
10.1088/1361-6579/aa9153
language
English
LU publication?
yes
id
f82c5397-cb4f-4d68-990c-27d0d0a3a7cb
date added to LUP
2017-12-19 13:28:29
date last changed
2018-01-16 13:28:23
@article{f82c5397-cb4f-4d68-990c-27d0d0a3a7cb,
  abstract     = {<p>Objective: A model for simulating multi-lead ECG signals during paroxysmal atrial fibrillation (AF) is proposed. Significance: The model is of particular significance when evaluating detection performance in the presence of brief AF episodes, especially since annotated databases with such episodes are lacking. Approach: The proposed model accounts for important characteristics such as switching between sinus rhythm and AF, varying P-wave morphology, repetition rate of f-waves, presence of atrial premature beats, and various types of noise. Main results: Two expert cardiologists assessed the realism of simulated signals relative to real ECG signals, both in sinus rhythm and AF. The cardiologists identified the correct rhythm in all cases, and considered two-thirds of the simulated signals as realistic. The proposed model was also investigated by evaluating the performance of two AF detectors which explored either rhythm only or both rhythm and morphology. The results show that detection performance is strongly dependent on AF episode duration, and, consequently, demonstrate that the model can play a significant role in the investigation of detector properties.</p>},
  author       = {Petrenas, Andrius and Marozas, Vaidotas and Sološenko, Andrius and Kubilius, Raimondas and Skibarkiene, Jurgita and Oster, Julien and Sörnmo, Leif},
  issn         = {0967-3334},
  keyword      = {12-lead ECG,Atrial fibrillation,Brief episodes,Detection,ECG signal,Simulation model},
  language     = {eng},
  month        = {11},
  number       = {11},
  pages        = {2058--2080},
  publisher    = {IOP Publishing},
  series       = {Physiological Measurement},
  title        = {Electrocardiogram modeling during paroxysmal atrial fibrillation : Application to the detection of brief episodes},
  url          = {http://dx.doi.org/10.1088/1361-6579/aa9153},
  volume       = {38},
  year         = {2017},
}