• DocumentCode
    2356905
  • Title

    Morphological descriptors based on Eigen value decomposition for P-wave analysis

  • Author

    Castells, F. ; Lorenz, J. ; Climent, AM ; Guillem, Maria S. ; Husser, D. ; Bollmann, A. ; Millet, J.

  • Author_Institution
    Univ. Politec. de Valencia, Valencia
  • fYear
    2008
  • fDate
    14-17 Sept. 2008
  • Firstpage
    245
  • Lastpage
    248
  • Abstract
    In this study, several morphological parameters to assess the P-wave from the surface electrocardiogram are proposed and analysed. In order to evaluate spatial features, two parameters are defined: P-wave complexity and P-wave residuum. Additionally, in order to evaluate beat to beat features, the P-wave regularity is defined. All three parameters are computed from the eigenvalue decomposition of the original data, and were applied on patients who suffered from either dilated or ischemic cardiomyopathy. The results showed that both the P-wave complexity and P-wave regularity are able to find and emphasize interpatient differences, whereas the results of P-wave residuum where rather similar for all patients.
  • Keywords
    diseases; eigenvalues and eigenfunctions; electrocardiography; medical signal processing; ECG signal preprocessing; P-wave analysis; P-wave complexity; P-wave regularity; P-wave residuum; eigen value decomposition; ischemic cardiomyopathy; morphological descriptor; spatial features; surface electrocardiogram; Cardiology; Data mining; Eigenvalues and eigenfunctions; Electrocardiography; Feature extraction; Rhythm; Risk analysis; Robustness; Surface morphology; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2008
  • Conference_Location
    Bologna
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-3706-1
  • Type

    conf

  • DOI
    10.1109/CIC.2008.4749023
  • Filename
    4749023