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A novel approach to propagation pattern analysis in intracardiac atrial fibrillation signals

Richter, Ulrike LU ; Faes, Luca; Cristoforetti, Alessandro; Masè, Michela; Ravelli, Flavia; Stridh, Martin LU and Sörnmo, Leif LU (2011) In Annals of Biomedical Engineering 39. p.310-323
Abstract
The purpose of this study is to investigate propagation patterns in intracardiac signals recorded during atrial fibrillation (AF) using an approach based on partial directed coherence (PDC), which evaluates directional coupling between multiple signals in the frequency domain. The PDC is evaluated at the dominant frequency of AF signals and tested for significance using a surrogate data procedure specifically designed to assess causality. For significantly coupled sites, the approach allows also to estimate the delay in propagation. The methods potential is illustrated with two simulation scenarios based on a detailed ionic model of the human atrial myocyte as well as with real data recordings, selected to present typical propagation... (More)
The purpose of this study is to investigate propagation patterns in intracardiac signals recorded during atrial fibrillation (AF) using an approach based on partial directed coherence (PDC), which evaluates directional coupling between multiple signals in the frequency domain. The PDC is evaluated at the dominant frequency of AF signals and tested for significance using a surrogate data procedure specifically designed to assess causality. For significantly coupled sites, the approach allows also to estimate the delay in propagation. The methods potential is illustrated with two simulation scenarios based on a detailed ionic model of the human atrial myocyte as well as with real data recordings, selected to present typical propagation mechanisms and recording situations in atrial tachyarrhythmias. In both simulation scenarios the significant PDCs correctly reflect the direction of coupling and thus the propagation between all recording sites. In the real data recordings, clear propagation patterns are identified which agree with previous clinical observations. Thus, the results illustrate the ability of the novel approach to identify propagation patterns from intracardiac signals during AF, which can provide important information about the underlying AF mechanisms, potentially improving the planning and outcome of arrhythmia ablation. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Annals of Biomedical Engineering
volume
39
pages
310 - 323
publisher
Springer
external identifiers
  • wos:000287213100027
  • scopus:78650868812
ISSN
1573-9686
DOI
10.1007/s10439-010-0146-8
language
English
LU publication?
yes
id
29f3c295-bd78-48c2-8724-b9b77e61c7ca (old id 1668142)
date added to LUP
2010-09-07 13:32:07
date last changed
2017-07-09 03:27:49
@article{29f3c295-bd78-48c2-8724-b9b77e61c7ca,
  abstract     = {The purpose of this study is to investigate propagation patterns in intracardiac signals recorded during atrial fibrillation (AF) using an approach based on partial directed coherence (PDC), which evaluates directional coupling between multiple signals in the frequency domain. The PDC is evaluated at the dominant frequency of AF signals and tested for significance using a surrogate data procedure specifically designed to assess causality. For significantly coupled sites, the approach allows also to estimate the delay in propagation. The methods potential is illustrated with two simulation scenarios based on a detailed ionic model of the human atrial myocyte as well as with real data recordings, selected to present typical propagation mechanisms and recording situations in atrial tachyarrhythmias. In both simulation scenarios the significant PDCs correctly reflect the direction of coupling and thus the propagation between all recording sites. In the real data recordings, clear propagation patterns are identified which agree with previous clinical observations. Thus, the results illustrate the ability of the novel approach to identify propagation patterns from intracardiac signals during AF, which can provide important information about the underlying AF mechanisms, potentially improving the planning and outcome of arrhythmia ablation.},
  author       = {Richter, Ulrike and Faes, Luca and Cristoforetti, Alessandro and Masè, Michela and Ravelli, Flavia and Stridh, Martin and Sörnmo, Leif},
  issn         = {1573-9686},
  language     = {eng},
  pages        = {310--323},
  publisher    = {Springer},
  series       = {Annals of Biomedical Engineering},
  title        = {A novel approach to propagation pattern analysis in intracardiac atrial fibrillation signals},
  url          = {http://dx.doi.org/10.1007/s10439-010-0146-8},
  volume       = {39},
  year         = {2011},
}