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

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Author

Summary, in English

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.

Publishing year

2009

Language

English

Pages

309-316

Publication/Series

Biomedical Signal Processing and Control

Volume

4

Issue

4

Document type

Journal article

Publisher

Elsevier

Topic

  • Cardiac and Cardiovascular Systems

Keywords

  • ECG wave delineation
  • P-wave morphology
  • K-means clusters
  • Atrial electrical activity

Status

Published

Research group

  • LCCC

ISBN/ISSN/Other

  • ISSN: 1746-8094