Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
557675 | Biomedical Signal Processing and Control | 2009 | 8 Pages |
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 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 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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Alberto Herreros, Enrique Baeyens, Rolf Johansson, Jonas Carlson, José R. Perán, Bertil Olsson,