ECG-based waveform characterization of atrial fibrillation
(2007) Computers in Cardiology, 2007 34. p.269-272- Abstract
- In atrial fibrillation (AF), the body surface signal pattern varies considerably from one patient to another as well as over time. We have developed a new method for ECG-based characterization of AF which explores the morphology of the f-waves. Following QRST cancellation, the method divides the atrial signal into short blocks and performs a model-based analysis of each block. The blocks are then clustered into different waveform patterns. The method was applied to a database of 36 patients (10-s recordings) with organized AF. The results show that the different waveforms in AF are well represented by the proposed model. Each recording was, in average, represented by 3 clusters of which the main cluster covered 31% of the blocks. In lead... (More)
- In atrial fibrillation (AF), the body surface signal pattern varies considerably from one patient to another as well as over time. We have developed a new method for ECG-based characterization of AF which explores the morphology of the f-waves. Following QRST cancellation, the method divides the atrial signal into short blocks and performs a model-based analysis of each block. The blocks are then clustered into different waveform patterns. The method was applied to a database of 36 patients (10-s recordings) with organized AF. The results show that the different waveforms in AF are well represented by the proposed model. Each recording was, in average, represented by 3 clusters of which the main cluster covered 31% of the blocks. In lead V1, the typical phase relationship between the fundamental and first harmonic was -82 degrees, indicating sawtooth-like waves with a steeper downslope than upslope. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1047223
- author
- Stridh, Martin LU ; Bollmann, Andreas LU ; Husser, Daniela and Sörnmo, Leif LU
- organization
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- volume
- 34
- pages
- 269 - 272
- conference name
- Computers in Cardiology, 2007
- conference location
- Durham, NC, United States
- conference dates
- 2007-09-30 - 2007-10-04
- external identifiers
-
- wos:000264173100068
- scopus:62949189741
- ISSN
- 0276-6574
- ISBN
- 978-1-4244-2533-4
- DOI
- 10.1109/CIC.2007.4745473
- language
- English
- LU publication?
- yes
- id
- 798b56b1-9b26-46ee-ac60-53b8da37eff8 (old id 1047223)
- date added to LUP
- 2016-04-04 09:21:33
- date last changed
- 2022-01-29 17:27:43
@inproceedings{798b56b1-9b26-46ee-ac60-53b8da37eff8,
abstract = {{In atrial fibrillation (AF), the body surface signal pattern varies considerably from one patient to another as well as over time. We have developed a new method for ECG-based characterization of AF which explores the morphology of the f-waves. Following QRST cancellation, the method divides the atrial signal into short blocks and performs a model-based analysis of each block. The blocks are then clustered into different waveform patterns. The method was applied to a database of 36 patients (10-s recordings) with organized AF. The results show that the different waveforms in AF are well represented by the proposed model. Each recording was, in average, represented by 3 clusters of which the main cluster covered 31% of the blocks. In lead V1, the typical phase relationship between the fundamental and first harmonic was -82 degrees, indicating sawtooth-like waves with a steeper downslope than upslope.}},
author = {{Stridh, Martin and Bollmann, Andreas and Husser, Daniela and Sörnmo, Leif}},
booktitle = {{[Host publication title missing]}},
isbn = {{978-1-4244-2533-4}},
issn = {{0276-6574}},
language = {{eng}},
pages = {{269--272}},
title = {{ECG-based waveform characterization of atrial fibrillation}},
url = {{http://dx.doi.org/10.1109/CIC.2007.4745473}},
doi = {{10.1109/CIC.2007.4745473}},
volume = {{34}},
year = {{2007}},
}