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Analysis of Changes in the Beat-to-Beat P-wave Morphology Using Clustering Techniques

Herreros, Alberto; Baeyens Lázaro, Enrique; Johansson, Rolf LU ; Carlson, Jonas LU ; Perán, José Ramón and Olsson, Bertil LU (2009) In Biomedical Signal Processing and Control 4. p.309-316
Abstract
Several pathologies related to the atrial electrical activity can be detected in the electrocardiogram P-wave. A protocol for analyzing P-wave morphology changes has been developed in this article. By using this protocol a study on the beat-to-beat P-wave morphology changes of 89 ECG signals is performed. An

algorithmbased on the embedding space techniques has been used to extract the P-wave information of the ECG. The P-waves obtained in several of these ECGs exhibit significant alternate morphology changes. The morphologies have been classified by using the K-means clustering algorithm. The mechanism behind the P-wave morphology change process and its possible pathophysiological importance remains to be clarified.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
ECG wave delineation, P-wave morphology, K-means clusters, Atrial electrical activity
in
Biomedical Signal Processing and Control
volume
4
pages
309 - 316
publisher
Elsevier
external identifiers
  • Scopus:70349779573
ISSN
1746-8094
language
English
LU publication?
yes
id
b9d4a00b-5694-47ad-a63b-1a1543188681 (old id 1624794)
date added to LUP
2010-06-28 09:16:40
date last changed
2016-10-13 05:01:31
@misc{b9d4a00b-5694-47ad-a63b-1a1543188681,
  abstract     = {Several pathologies related to the atrial electrical activity can be detected in the electrocardiogram P-wave. A protocol for analyzing P-wave morphology changes has been developed in this article. By using this protocol a study on the beat-to-beat P-wave morphology changes of 89 ECG signals is performed. An<br/><br>
algorithmbased on the embedding space techniques has been used to extract the P-wave information of the ECG. The P-waves obtained in several of these ECGs exhibit significant alternate morphology changes. The morphologies have been classified by using the K-means clustering algorithm. The mechanism behind the P-wave morphology change process and its possible pathophysiological importance remains to be clarified.},
  author       = {Herreros, Alberto and Baeyens Lázaro, Enrique and Johansson, Rolf and Carlson, Jonas and Perán, José Ramón and Olsson, Bertil},
  issn         = {1746-8094},
  keyword      = {ECG wave delineation,P-wave morphology,K-means clusters,Atrial electrical activity},
  language     = {eng},
  pages        = {309--316},
  publisher    = {ARRAY(0x88f9740)},
  series       = {Biomedical Signal Processing and Control},
  title        = {Analysis of Changes in the Beat-to-Beat P-wave Morphology Using Clustering Techniques},
  volume       = {4},
  year         = {2009},
}