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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 orcid ; Carlson, Jonas LU orcid ; Perán, José Ramón and Olsson, Bertil LU (2009) In Biomedical Signal Processing and Control 4(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
; ; ; ; and
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
issue
4
pages
309 - 316
publisher
Elsevier
external identifiers
  • scopus:70349779573
ISSN
1746-8094
DOI
10.1016/j.bspc.2009.02.006
language
English
LU publication?
yes
id
b9d4a00b-5694-47ad-a63b-1a1543188681 (old id 1624794)
date added to LUP
2016-04-04 14:21:08
date last changed
2022-08-19 10:34:55
@article{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 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}},
  keywords     = {{ECG wave delineation; P-wave morphology; K-means clusters; Atrial electrical activity}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{309--316}},
  publisher    = {{Elsevier}},
  series       = {{Biomedical Signal Processing and Control}},
  title        = {{Analysis of Changes in the Beat-to-Beat P-wave Morphology Using Clustering Techniques}},
  url          = {{http://dx.doi.org/10.1016/j.bspc.2009.02.006}},
  doi          = {{10.1016/j.bspc.2009.02.006}},
  volume       = {{4}},
  year         = {{2009}},
}