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A Gaussian mixture model for time-frequency analysis during atrial fibrillation electrocardiograms

Corino, V. D. A.; Mainardi, L. T.; Bollmann, Andreas LU ; Husser, D.; Stridh, Martin LU and Sörnmo, Leif LU (2007) 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007. In 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007. p.271-274
Abstract
During atrial fibrillation (AF), time-frequency analysis of atrial signal has been applied to describe fibrillatory frequency trends. Recently, temporal changes in spectral shape have been investigated using the spectral profile technique. This profile is computed recursively by fitting each short-time log-spectrum to a spectral template, using amplitude scaling and frequency shifting. The purpose of the present study was to develop a Gaussian mixture model of the spectral profile in order to characterize the shape of AF waveforms. A novel index is introduced, the so-called harmonic index (HI), which reflects properties of the fundamental frequency peak and related harmonics peaks as estimated from the model. The index was tested on... (More)
During atrial fibrillation (AF), time-frequency analysis of atrial signal has been applied to describe fibrillatory frequency trends. Recently, temporal changes in spectral shape have been investigated using the spectral profile technique. This profile is computed recursively by fitting each short-time log-spectrum to a spectral template, using amplitude scaling and frequency shifting. The purpose of the present study was to develop a Gaussian mixture model of the spectral profile in order to characterize the shape of AF waveforms. A novel index is introduced, the so-called harmonic index (HI), which reflects properties of the fundamental frequency peak and related harmonics peaks as estimated from the model. The index was tested on recordings from 9 patients with persistent AF, obtained before and after exercise testing. The HI succeeded in monitoring the response to exercise, i.e. change in the spectral profile to a less harmonic pattern, which is consistent with a reduction in AF organization (HI: 0.61±0.11 vs. 0.50±0.19, rest vs. exercise; p≪0.05). (Less)
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type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007.
pages
271 - 274
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007.
external identifiers
  • scopus:57649156104
ISSN
1557-170X
ISBN
978-1-4244-0788-0
DOI
10.1109/IEMBS.2007.4352276
language
English
LU publication?
yes
id
e045c152-5538-4a0f-b3bc-0d6b89565661 (old id 1047248)
date added to LUP
2008-03-12 14:41:05
date last changed
2017-01-01 06:36:53
@inproceedings{e045c152-5538-4a0f-b3bc-0d6b89565661,
  abstract     = {During atrial fibrillation (AF), time-frequency analysis of atrial signal has been applied to describe fibrillatory frequency trends. Recently, temporal changes in spectral shape have been investigated using the spectral profile technique. This profile is computed recursively by fitting each short-time log-spectrum to a spectral template, using amplitude scaling and frequency shifting. The purpose of the present study was to develop a Gaussian mixture model of the spectral profile in order to characterize the shape of AF waveforms. A novel index is introduced, the so-called harmonic index (HI), which reflects properties of the fundamental frequency peak and related harmonics peaks as estimated from the model. The index was tested on recordings from 9 patients with persistent AF, obtained before and after exercise testing. The HI succeeded in monitoring the response to exercise, i.e. change in the spectral profile to a less harmonic pattern, which is consistent with a reduction in AF organization (HI: 0.61±0.11 vs. 0.50±0.19, rest vs. exercise; p≪0.05).},
  author       = {Corino, V. D. A. and Mainardi, L. T. and Bollmann, Andreas and Husser, D. and Stridh, Martin and Sörnmo, Leif},
  booktitle    = {29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007.},
  isbn         = {978-1-4244-0788-0},
  issn         = {1557-170X},
  language     = {eng},
  pages        = {271--274},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {A Gaussian mixture model for time-frequency analysis during atrial fibrillation electrocardiograms},
  url          = {http://dx.doi.org/10.1109/IEMBS.2007.4352276},
  year         = {2007},
}