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

Herreros, Alberto ; Baeyens, Enrique ; Carlson, Jonas LU orcid ; Johansson, Rolf LU orcid ; Perán, José Ramón and Olsson, Bertil LU (2008) 17th IFAC World Congress, 2008 In IFAC Proceedings Volumes 41(1). p.5215-5220
Abstract
Several pathologies related to the atrial electrical activity can be detected in the electrocardiogram P-wave. A study on the beat-to-beat P-wave morphology changes of 89 ECG signals is performed in this article. An algorithm based 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 intermittent morphology changes. The morphologies have been classified by using the K-means clustering algorithm. The mechanism behind different P-wave morphologies and its possible pathophysiological importance remains to be clarified.
Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
P-wave morphology, K-means clusters, ECG wave delineation, atrial electrical activity
host publication
Proceedings of the 17th World Congress Proceedings of the 17th World Congress of The International Federation of Automatic Control
series title
IFAC Proceedings Volumes
volume
41
issue
1
pages
6 pages
publisher
Elsevier
conference name
17th IFAC World Congress, 2008
conference location
Seoul, Korea, Democratic People's Republic of
conference dates
2008-07-06 - 2008-07-11
external identifiers
  • scopus:79961017785
ISSN
1474-6670
ISBN
978-390266100-5
DOI
10.3182/20080706-5-KR-1001.00876
project
DIAdvisor
language
English
LU publication?
yes
id
5c2ea0bd-d145-4b19-96cd-8aa50c3cd09b
date added to LUP
2022-06-21 11:38:03
date last changed
2022-08-19 10:35:43
@inproceedings{5c2ea0bd-d145-4b19-96cd-8aa50c3cd09b,
  abstract     = {{Several pathologies related to the atrial electrical activity can be detected in the electrocardiogram P-wave. A study on the beat-to-beat P-wave morphology changes of 89 ECG signals is performed in this article. An algorithm based 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 intermittent morphology changes. The morphologies have been classified by using the K-means clustering algorithm. The mechanism behind different P-wave morphologies and its possible pathophysiological importance remains to be clarified.}},
  author       = {{Herreros, Alberto and Baeyens, Enrique and Carlson, Jonas and Johansson, Rolf and Perán, José Ramón and Olsson, Bertil}},
  booktitle    = {{Proceedings of the 17th World Congress Proceedings of the 17th World Congress of The International Federation of Automatic Control}},
  isbn         = {{978-390266100-5}},
  issn         = {{1474-6670}},
  keywords     = {{P-wave morphology; K-means clusters; ECG wave delineation; atrial electrical activity}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{5215--5220}},
  publisher    = {{Elsevier}},
  series       = {{IFAC Proceedings Volumes}},
  title        = {{Analysis of Changes in the Beat-to-Beat P-Wave Morphology Using Clustering Techniques}},
  url          = {{http://dx.doi.org/10.3182/20080706-5-KR-1001.00876}},
  doi          = {{10.3182/20080706-5-KR-1001.00876}},
  volume       = {{41}},
  year         = {{2008}},
}