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Characterization of atrial fibrillation using the surface ECG: time-dependent spectral properties

Stridh, Martin LU ; Sörnmo, Leif LU ; Meurling, Carl LU and Olsson, Bertil LU (2001) In IEEE Transactions on Biomedical Engineering 48(1). p.19-27
Abstract
Time-frequency analysis is considered for characterizing atrial fibrillation in the surface electrocardiogram (ECG). Variations in fundamental frequency of the fibrillatory waves are tracked by using different time-frequency distributions which are appropriate to short- and long-term variations. The cross Wigner-Ville distribution is found to be particularly useful for short-term analysis due to its ability to handle poor signal-to-noise ratios. In patients with chronic atrial fibrillation, substantial short-term variations exist in fibrillation frequency and variations up to 2.5 Hz can be observed within a few seconds. Although time-frequency analysis is performed independently in each lead, short-term variations in fibrillation frequency... (More)
Time-frequency analysis is considered for characterizing atrial fibrillation in the surface electrocardiogram (ECG). Variations in fundamental frequency of the fibrillatory waves are tracked by using different time-frequency distributions which are appropriate to short- and long-term variations. The cross Wigner-Ville distribution is found to be particularly useful for short-term analysis due to its ability to handle poor signal-to-noise ratios. In patients with chronic atrial fibrillation, substantial short-term variations exist in fibrillation frequency and variations up to 2.5 Hz can be observed within a few seconds. Although time-frequency analysis is performed independently in each lead, short-term variations in fibrillation frequency often exhibit a similar pattern in the leads V1, V2 and V3. Using different techniques for short- and long-term analysis, it is possible to reliably detect subtle long-term changes in fibrillation frequency, e.g., related to an intervention, which otherwise would have been obscured by spontaneous variations in fibrillation frequency. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Transactions on Biomedical Engineering
volume
48
issue
1
pages
19 - 27
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • pmid:11235587
  • scopus:0035116401
ISSN
0018-9294
DOI
10.1109/10.900245
language
English
LU publication?
yes
id
9775e626-efcc-4f2b-a1c2-cf3b17eda885 (old id 1123115)
date added to LUP
2008-07-15 11:18:22
date last changed
2018-01-07 09:07:36
@article{9775e626-efcc-4f2b-a1c2-cf3b17eda885,
  abstract     = {Time-frequency analysis is considered for characterizing atrial fibrillation in the surface electrocardiogram (ECG). Variations in fundamental frequency of the fibrillatory waves are tracked by using different time-frequency distributions which are appropriate to short- and long-term variations. The cross Wigner-Ville distribution is found to be particularly useful for short-term analysis due to its ability to handle poor signal-to-noise ratios. In patients with chronic atrial fibrillation, substantial short-term variations exist in fibrillation frequency and variations up to 2.5 Hz can be observed within a few seconds. Although time-frequency analysis is performed independently in each lead, short-term variations in fibrillation frequency often exhibit a similar pattern in the leads V1, V2 and V3. Using different techniques for short- and long-term analysis, it is possible to reliably detect subtle long-term changes in fibrillation frequency, e.g., related to an intervention, which otherwise would have been obscured by spontaneous variations in fibrillation frequency.},
  author       = {Stridh, Martin and Sörnmo, Leif and Meurling, Carl and Olsson, Bertil},
  issn         = {0018-9294},
  language     = {eng},
  number       = {1},
  pages        = {19--27},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Biomedical Engineering},
  title        = {Characterization of atrial fibrillation using the surface ECG: time-dependent spectral properties},
  url          = {http://dx.doi.org/10.1109/10.900245},
  volume       = {48},
  year         = {2001},
}