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.
Original language | English |
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Pages (from-to) | 309-316 |
Journal | Biomedical Signal Processing and Control |
Volume | 4 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2009 |
Subject classification (UKÄ)
- Cardiac and Cardiovascular Systems
Free keywords
- ECG wave delineation
- P-wave morphology
- K-means clusters
- Atrial electrical activity