• DocumentCode
    3622235
  • Title

    Investigating the Effects of Wavelet Entropy in Heart Rate Variability Analysis for Diagnosing of Congestive Heart Failure

  • Author

    Isler; Kuntalp

  • Author_Institution
    Elektrik ve Elektronik Mü
  • fYear
    2006
  • fDate
    6/28/1905 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this study, wavelet entropy, which is calculated from the wavelet transform coefficients obtained from heart rate variability data, is used to distinguish the control group from the patients with congestive heart failure. Wavelet entropies are obtained from 29 patients with congestive heart failure and 54 subjects in the control group. Standard heart rate variability measurements are also calculated for the whole dataset. Finally, linear discriminant analysis is used to evaluate the performance of measurements in classifying these two groups
  • Keywords
    "Wavelet analysis","Entropy","Heart rate variability","Failure analysis","Neural networks","Heart rate","Databases","Wavelet transforms","Measurement standards","Internet"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2006 IEEE 14th
  • ISSN
    2165-0608
  • Print_ISBN
    1-4244-0238-7
  • Type

    conf

  • DOI
    10.1109/SIU.2006.1659694
  • Filename
    1659694
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3622235