Analysis of Changes in the Beat-to-Beat P-wave Morphology Using Clustering Techniques
(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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1624794
- author
- Herreros, Alberto ; Baeyens Lázaro, Enrique ; Johansson, Rolf LU ; Carlson, Jonas LU ; Perán, José Ramón and Olsson, Bertil LU
- organization
- publishing date
- 2009
- 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
- 2024-01-13 12:32:40
@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}}, }