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Predicting spontaneous termination of atrial fibrillation using the surface ECG

Sandberg, Frida LU ; Stridh, Martin LU ; Bollmann, Andreas and Sörnmo, Leif LU (2006) In Medical Engineering & Physics 28(8). p.802-808
Abstract
By recognizing and characterizing conditions under which atrial fibrillation (AF) is likely to terminate spontaneously or be sustained, improved treatment of sustained AF may result and unnecessary treatment of self-terminating AF avoided. Time-frequency measures that characterize AF, such as fibrillatory frequency, amplitude, and waveform shape (exponential decay), are extracted from the residual ECG following QRST cancellation. Three complexity measures are also studied, characterizing the degree of organization of atrial activity. All measures are analysed using a training set, consisting of 20 recordings of AF with known termination properties, and a test set of 30 recordings. Spontaneous termination was best predicted by a low and... (More)
By recognizing and characterizing conditions under which atrial fibrillation (AF) is likely to terminate spontaneously or be sustained, improved treatment of sustained AF may result and unnecessary treatment of self-terminating AF avoided. Time-frequency measures that characterize AF, such as fibrillatory frequency, amplitude, and waveform shape (exponential decay), are extracted from the residual ECG following QRST cancellation. Three complexity measures are also studied, characterizing the degree of organization of atrial activity. All measures are analysed using a training set, consisting of 20 recordings of AF with known termination properties, and a test set of 30 recordings. Spontaneous termination was best predicted by a low and stable fibrillatory frequency and a low exponential decay. Using these predictors, 90% of the test set was correctly classified into terminating and sustained AF. Neither fibrillation amplitude nor the complexity measures differed significantly between the two sets. (c) 2005 IPEM. Published by Elsevier Ltd. All rights reserved. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
prediction, time-frequency analysis, termination, atrial fibrillation, surface ECG
in
Medical Engineering & Physics
volume
28
issue
8
pages
802 - 808
publisher
Elsevier
external identifiers
  • wos:000240693800006
  • pmid:16442328
  • scopus:33745039230
ISSN
1873-4030
DOI
10.1016/j.medengphy.2005.11.010
language
English
LU publication?
yes
id
23b5fa9a-5950-4f1b-ae54-76638269be95 (old id 392643)
date added to LUP
2016-04-01 15:39:52
date last changed
2020-03-11 05:22:27
@article{23b5fa9a-5950-4f1b-ae54-76638269be95,
  abstract     = {By recognizing and characterizing conditions under which atrial fibrillation (AF) is likely to terminate spontaneously or be sustained, improved treatment of sustained AF may result and unnecessary treatment of self-terminating AF avoided. Time-frequency measures that characterize AF, such as fibrillatory frequency, amplitude, and waveform shape (exponential decay), are extracted from the residual ECG following QRST cancellation. Three complexity measures are also studied, characterizing the degree of organization of atrial activity. All measures are analysed using a training set, consisting of 20 recordings of AF with known termination properties, and a test set of 30 recordings. Spontaneous termination was best predicted by a low and stable fibrillatory frequency and a low exponential decay. Using these predictors, 90% of the test set was correctly classified into terminating and sustained AF. Neither fibrillation amplitude nor the complexity measures differed significantly between the two sets. (c) 2005 IPEM. Published by Elsevier Ltd. All rights reserved.},
  author       = {Sandberg, Frida and Stridh, Martin and Bollmann, Andreas and Sörnmo, Leif},
  issn         = {1873-4030},
  language     = {eng},
  number       = {8},
  pages        = {802--808},
  publisher    = {Elsevier},
  series       = {Medical Engineering & Physics},
  title        = {Predicting spontaneous termination of atrial fibrillation using the surface ECG},
  url          = {http://dx.doi.org/10.1016/j.medengphy.2005.11.010},
  doi          = {10.1016/j.medengphy.2005.11.010},
  volume       = {28},
  year         = {2006},
}