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ECG-based waveform characterization of atrial fibrillation

Stridh, Martin LU ; Bollmann, Andreas LU ; Husser, Daniela and Sörnmo, Leif LU (2007) Computers in Cardiology, 2007 In [Host publication title missing] 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:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
volume
34
pages
269 - 272
conference name
Computers in Cardiology, 2007
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
2008-03-11 15:50:00
date last changed
2016-10-13 04:29:05
@misc{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},
  isbn         = {978-1-4244-2533-4},
  issn         = {0276-6574},
  language     = {eng},
  pages        = {269--272},
  series       = {[Host publication title missing]},
  title        = {ECG-based waveform characterization of atrial fibrillation},
  url          = {http://dx.doi.org/10.1109/CIC.2007.4745473},
  volume       = {34},
  year         = {2007},
}