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Sökning: WFRF:(Peran Jose Ramon)

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1.
  • Herreros, Alberto, et al. (författare)
  • An Algorithm for Phase-Space Detection of the P Characteristic Points
  • 2007
  • Ingår i: PROC. annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2007). Lyon, France, Aug 23-26, 2007. - 1557-170X. ; 1, s. 2004-2007
  • Konferensbidrag (refereegranskat)abstract
    • A new algorithm, based on embedding phase space, to detect the P-wave characteristic points of an ECG signal is reported in this paper. The multi-lead ECG is transformed into points of an embedding phase space where similar ECG morphologies are converted into phase space points that are close using some distance measure. The algorithm is robust with respect to the type of selected characteristic points (onset, peak and end), morphology changes, baseline oscillations and high frequency noise. The performance of the algorithm has been succesfully validated using both simulated and real ECG signals.
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2.
  • Herreros, Alberto, et al. (författare)
  • Analysis of Changes in the Beat-to-Beat P-wave Morphology Using Clustering Techniques
  • 2009
  • Ingår i: Biomedical Signal Processing and Control. - : Elsevier BV. - 1746-8094. ; 4:4, s. 309-316
  • Tidskriftsartikel (refereegranskat)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.
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3.
  • Herreros, Alberto, et al. (författare)
  • Analysis of Changes in the Beat-to-Beat P-Wave Morphology Using Clustering Techniques
  • 2008
  • Ingår i: Proceedings of the 17th World Congress Proceedings of the 17th World Congress of The International Federation of Automatic Control. - 1474-6670. - 9783902661005 ; 41:1, s. 5215-5220
  • Konferensbidrag (refereegranskat)abstract
    • 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.
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  • Resultat 1-3 av 3

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