• DocumentCode
    2074692
  • Title

    Analysis of Electrocardiograms Using the Convolution Kernel Compensation Approach

  • Author

    Zazula, D. ; Holobar, A. ; Angely, F.

  • Author_Institution
    Maribor Univ., Maribor
  • fYear
    2007
  • fDate
    27-30 June 2007
  • Firstpage
    61
  • Lastpage
    64
  • Abstract
    This paper deals with the problem of electrocardiogram (ECG) detection and classification. We introduce a novel approach using the convolution kernel compensation (CKC) method, which tackles the tasks of detection and classification at the same time. The obtained results are comparable to the reported rates obtained by recent algorithms used separately for ECG detection and classification.
  • Keywords
    bioelectric phenomena; convolution; electrocardiography; medical signal detection; medical signal processing; neurophysiology; signal classification; ECG classification; ECG detection; convolution kernel compensation approach; electrocardiograms; Convolution; Decision support systems; Hafnium; Kernel; Convolution kernel compensation; Electrocardiogram analysis; Heartbeat detection and classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
  • Conference_Location
    Maribor
  • Print_ISBN
    978-961-248-029-5
  • Electronic_ISBN
    978-961-248-029-5
  • Type

    conf

  • DOI
    10.1109/IWSSIP.2007.4381153
  • Filename
    4381153
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2074692