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

Alberto Herreros; Enrique Baeyens; Jonas Carlson; Rolf Johansson; José Ramón Perán; Bertil Olsson

doi:10.3182/20080706-5-KR-1001.00876

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

Alberto Herreros, Enrique Baeyens, Jonas Carlson, Rolf Johansson, José Ramón Perán, Bertil Olsson

University of Valladolid

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 17th World Congress Proceedings of the 17th World Congress of The International Federation of Automatic Control
Publisher	Elsevier
Pages	5215-5220
Number of pages	6
ISBN (Print)	978-390266100-5
DOIs	https://doi.org/10.3182/20080706-5-KR-1001.00876
Publication status	Published - 2008
Event	17th IFAC World Congress, 2008 - Seoul, Korea, Seoul, Korea, Democratic People's Republic of Duration: 2008 Jul 6 → 2008 Jul 11 Conference number: 17

Publication series

Name	IFAC Proceedings Volumes
Publisher	Elsevier
Number	1
Volume	41
ISSN (Print)	1474-6670

Conference

Conference	17th IFAC World Congress, 2008
Country/Territory	Korea, Democratic People's Republic of
City	Seoul
Period	2008/07/06 → 2008/07/11

Subject classification (UKÄ)

Control Engineering

Free keywords

P-wave morphology
K-means clusters
ECG wave delineation
atrial electrical activity

Access to Document

10.3182/20080706-5-KR-1001.00876

DIAdvisor
Ståhl, F. (Researcher), Rönn, M. (Researcher), Cescon, M. (Researcher) & Johansson, R. (PI)
2008/03/01 → 2012/02/29
Project: Research

Cite this

Herreros, A., Baeyens, E., Carlson, J., Johansson, R., Perán, J. R., & Olsson, B. (2008). Analysis of Changes in the Beat-to-Beat P-Wave Morphology Using Clustering Techniques. In Proceedings of the 17th World Congress Proceedings of the 17th World Congress of The International Federation of Automatic Control (pp. 5215-5220). (IFAC Proceedings Volumes; Vol. 41, No. 1). Elsevier. https://doi.org/10.3182/20080706-5-KR-1001.00876

@inproceedings{5c2ea0bdd1454b1996cd8aa50c3cd09b,

title = "Analysis of Changes in the Beat-to-Beat P-Wave Morphology Using Clustering Techniques",

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.",

keywords = "P-wave morphology, K-means clusters, ECG wave delineation, atrial electrical activity",

author = "Alberto Herreros and Enrique Baeyens and Jonas Carlson and Rolf Johansson and Per{\'a}n, {Jos{\'e} Ram{\'o}n} and Bertil Olsson",

year = "2008",

doi = "10.3182/20080706-5-KR-1001.00876",

language = "English",

isbn = "978-390266100-5",

series = "IFAC Proceedings Volumes",

publisher = "Elsevier",

number = "1",

pages = "5215--5220",

booktitle = "Proceedings of the 17th World Congress Proceedings of the 17th World Congress of The International Federation of Automatic Control",

address = "United States",

note = "17th IFAC World Congress, 2008 ; Conference date: 06-07-2008 Through 11-07-2008",

}

Herreros, A, Baeyens, E, Carlson, J, Johansson, R, Perán, JR & Olsson, B 2008, Analysis of Changes in the Beat-to-Beat P-Wave Morphology Using Clustering Techniques. in Proceedings of the 17th World Congress Proceedings of the 17th World Congress of The International Federation of Automatic Control . IFAC Proceedings Volumes, no. 1, vol. 41, Elsevier, pp. 5215-5220, 17th IFAC World Congress, 2008, Seoul, Korea, Democratic People's Republic of, 2008/07/06. https://doi.org/10.3182/20080706-5-KR-1001.00876

Analysis of Changes in the Beat-to-Beat P-Wave Morphology Using Clustering Techniques. / Herreros, Alberto; Baeyens, Enrique; Carlson, Jonas et al.
Proceedings of the 17th World Congress Proceedings of the 17th World Congress of The International Federation of Automatic Control . Elsevier, 2008. p. 5215-5220 (IFAC Proceedings Volumes; Vol. 41, No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Analysis of Changes in the Beat-to-Beat P-Wave Morphology Using Clustering Techniques

AU - Herreros, Alberto

AU - Baeyens, Enrique

AU - Carlson, Jonas

AU - Johansson, Rolf

AU - Perán, José Ramón

AU - Olsson, Bertil

N1 - Conference code: 17

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - P-wave morphology

KW - K-means clusters

KW - ECG wave delineation

KW - atrial electrical activity

U2 - 10.3182/20080706-5-KR-1001.00876

DO - 10.3182/20080706-5-KR-1001.00876

M3 - Paper in conference proceeding

SN - 978-390266100-5

T3 - IFAC Proceedings Volumes

SP - 5215

EP - 5220

BT - Proceedings of the 17th World Congress Proceedings of the 17th World Congress of The International Federation of Automatic Control

PB - Elsevier

T2 - 17th IFAC World Congress, 2008

Y2 - 6 July 2008 through 11 July 2008

ER -

Herreros A, Baeyens E, Carlson J, Johansson R, Perán JR, Olsson B. Analysis of Changes in the Beat-to-Beat P-Wave Morphology Using Clustering Techniques. In Proceedings of the 17th World Congress Proceedings of the 17th World Congress of The International Federation of Automatic Control . Elsevier. 2008. p. 5215-5220. (IFAC Proceedings Volumes; 1). doi: 10.3182/20080706-5-KR-1001.00876

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

Abstract

Publication series

Conference

Subject classification (UKÄ)

Free keywords

Access to Document

Fingerprint

Projects

DIAdvisor

Cite this