• DocumentCode
    2357565
  • Title

    Automatic distinguishing between ischemic and heart-rate related transient ST segment episodes in ambulatory ECG records

  • Author

    Faganeli, J. ; Jager, F.

  • Author_Institution
    Fac. of Comput. & Inf. Sci., Univ. of Ljubljana, Ljubljana
  • fYear
    2008
  • fDate
    14-17 Sept. 2008
  • Firstpage
    381
  • Lastpage
    384
  • Abstract
    In ambulatory ECG records, ischemia is manifested by transient ST segment episodes which may or may not be accompanied by increase in heart rate. There are also transient heart-rate related non-ischemic ST segment episodes present which are caused by change in heart rate. The goal of this work was to classify between these two types of ST episodes. The selected features to classify the ST episodes were changes of heart rate, changes of time domain morphologic parameters of the ST segment and changes of the Legendre orthonormal polynomial coefficients of the ST segment, all obtained on 20-second intervals at the beginning and at the extrema of each ST episode. The obtained sensitivity in classifying ischemic versus heart-rate related ST episodes using the LTST DB was 77.9%, while specificity was 73.9%.
  • Keywords
    Legendre polynomials; biology computing; electrocardiography; expert systems; medical signal processing; time-domain analysis; Legendre orthonormal polynomial coefficients; ambulatory ECG records; heart-rate related transient ST segment episodes; ischemic process; time 20 s; time domain morphologic parameters; Databases; Electrocardiography; Heart beat; Heart rate; Humans; Ischemic pain; Morphology; Noise level; Phase noise; Protocols;
  • 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.2008.4749058
  • Filename
    4749058