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Predicting spontaneous termination of atrial fibrillation with time-frequency information

Sandberg, Frida LU ; Stridh, Martin LU ; Bollmann, Andreas LU and Sörnmo, Leif LU (2004) Computers in Cardiology 2004 In Computers in Cardiology 31. p.657-660
Abstract
Our approach to predicting spontaneous termination of atrial fibrillation (AF) is based on parameters derived from the time-frequency distribution of the residual ECG signal, resulting from spatiotemporal cancellation of QRST complexes. Each consecutive, logarithmically scaled spectrum of the time-frequency distribution of the residual ECG is modeled as a frequency shifted and amplitude scaled version of a spectral profile. Parameters characterizing AF, such as fundamental frequency, amplitude, and waveform of the fibrillation waves, are then extracted from the spectral profile. The waveform of the spectral profile is used to distinguish AF from sinus rhythm and noise, so that occasional episodes of sinus rhythm and noise can be excluded.... (More)
Our approach to predicting spontaneous termination of atrial fibrillation (AF) is based on parameters derived from the time-frequency distribution of the residual ECG signal, resulting from spatiotemporal cancellation of QRST complexes. Each consecutive, logarithmically scaled spectrum of the time-frequency distribution of the residual ECG is modeled as a frequency shifted and amplitude scaled version of a spectral profile. Parameters characterizing AF, such as fundamental frequency, amplitude, and waveform of the fibrillation waves, are then extracted from the spectral profile. The waveform of the spectral profile is used to distinguish AF from sinus rhythm and noise, so that occasional episodes of sinus rhythm and noise can be excluded. Using these parameters, 95% of the ECGs from the training set, and 90% from the test set was correctly classified as non-terminating and terminating AF respectively. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Atrial fibrillation (AF), Spatiotemporal cancellation, Time-frequency distribution, Fibrillation waves
in
Computers in Cardiology
volume
31
pages
657 - 660
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Computers in Cardiology 2004
external identifiers
  • wos:000229753800165
  • scopus:28144453849
ISSN
0276-6574
DOI
10.1109/CIC.2004.1443024
language
English
LU publication?
yes
id
d16a065a-c902-441d-94c6-6a330d890d15 (old id 614585)
date added to LUP
2007-11-29 14:21:29
date last changed
2017-06-04 04:21:18
@inproceedings{d16a065a-c902-441d-94c6-6a330d890d15,
  abstract     = {Our approach to predicting spontaneous termination of atrial fibrillation (AF) is based on parameters derived from the time-frequency distribution of the residual ECG signal, resulting from spatiotemporal cancellation of QRST complexes. Each consecutive, logarithmically scaled spectrum of the time-frequency distribution of the residual ECG is modeled as a frequency shifted and amplitude scaled version of a spectral profile. Parameters characterizing AF, such as fundamental frequency, amplitude, and waveform of the fibrillation waves, are then extracted from the spectral profile. The waveform of the spectral profile is used to distinguish AF from sinus rhythm and noise, so that occasional episodes of sinus rhythm and noise can be excluded. Using these parameters, 95% of the ECGs from the training set, and 90% from the test set was correctly classified as non-terminating and terminating AF respectively.},
  author       = {Sandberg, Frida and Stridh, Martin and Bollmann, Andreas and Sörnmo, Leif},
  booktitle    = {Computers in Cardiology},
  issn         = {0276-6574},
  keyword      = {Atrial fibrillation (AF),Spatiotemporal cancellation,Time-frequency distribution,Fibrillation waves},
  language     = {eng},
  pages        = {657--660},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Predicting spontaneous termination of atrial fibrillation with time-frequency information},
  url          = {http://dx.doi.org/10.1109/CIC.2004.1443024},
  volume       = {31},
  year         = {2004},
}