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Analysis of changes in the beat-to-beat P-wave morphology using clustering techniques

Författare:
Publiceringsår: 2008
Språk: Engelska
Sidor: 309-316
Volym: 4
Dokumenttyp: Konferensbidrag

Sammanfattning

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.

Disputation

Nyckelord

  • Technology and Engineering
  • Medicine and Health Sciences

Övrigt

17th IFAC World Congress
2008-07-06
Seoul, Korea
Published
Yes
  • LCCC

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