• DocumentCode
    335970
  • Title

    Wavelet and wavelet packet decomposition of RR and RTmax interval time series

  • Author

    Tikkanen, P.E. ; Sellin, L.C.

  • Author_Institution
    University of Oulu, Finland
  • Volume
    1
  • fYear
    1997
  • fDate
    Oct. 30 1997-Nov. 2 1997
  • Firstpage
    313
  • Lastpage
    316
  • Abstract
    As a novel approach for analyzing ECG as time series, wavelet packet decomposition is presented as being an advanced and versatile signal decomposition scheme. An optimized wavelet packet decomposition is selectezwith respect to the minimization of the entropy of time series. Signal decomposition schemes are visualized by tree structures, and an optimized structure is called a best tree. Examples of RR and RTmax interval time series are analyzed by both wavelet and wavelet packet method. The accuracy of RTmax interval variability measurement was improved by oversampling the acquired ECG signal.
  • Keywords
    electrocardiography; medical signal processing; minimum entropy methods; time series; wavelet transforms; RR interval time series; RT/sub max/ interval time series; acquired ECG signal; best tree; electrodiagnostics; oversampling; signal decomposition scheme; time series entropy minimization; tree structures; wavelet packet decomposition; Continuous wavelet transforms; Discrete wavelet transforms; Electrocardiography; Entropy; Fetal heart rate; Frequency; Time series analysis; Wavelet analysis; Wavelet packets; Wavelet transforms; RR and RTmax interval variability; Wavelet; best tree; entropy; wavelet packet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL, USA
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-4262-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.1997.754537
  • Filename
    754537