Characterization of atrial fibrillation using the surface ECG: time-dependent spectral properties
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1123115
- author
- Stridh, Martin LU ; Sörnmo, Leif LU ; Meurling, Carl LU and Olsson, Bertil LU
- organization
- publishing date
- 2001
- 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
- pmid:11235587
- ISSN
- 1558-2531
- DOI
- 10.1109/10.900245
- language
- English
- LU publication?
- yes
- id
- 9775e626-efcc-4f2b-a1c2-cf3b17eda885 (old id 1123115)
- date added to LUP
- 2016-04-01 16:14:02
- date last changed
- 2022-04-15 03:05:13
@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 = {{1558-2531}}, 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}}, doi = {{10.1109/10.900245}}, volume = {{48}}, year = {{2001}}, }