Predicting spontaneous termination of atrial fibrillation using the surface ECG
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/392643
- author
- Sandberg, Frida LU ; Stridh, Martin LU ; Bollmann, Andreas and Sörnmo, Leif LU
- organization
- publishing date
- 2006
- 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
- 2022-01-28 06:27:33
@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}}, keywords = {{prediction; time-frequency analysis; termination; atrial fibrillation; surface ECG}}, 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}}, }