• DocumentCode
    2883850
  • Title

    Analysis of high frequency MID-QRS potentials vs ST segment and T wave analysis for the diagnosis of ischemic heart disease

  • Author

    Abboud, S. ; Beker, A. ; Strasberg, B.

  • Author_Institution
    Tel Aviv Univ., Israel
  • fYear
    2003
  • fDate
    21-24 Sept. 2003
  • Firstpage
    813
  • Lastpage
    814
  • Abstract
    The objective of the present study was to examine the effect of induced ischemia on the morphology of the high frequency MID-QRS (HF-QRS) potentials in patients referred to Thallium stress myocardial perfusion (SPECT) imaging. High-resolution ECG waveforms from 12 leads were analyzed before, during, and following stress testing using BSP Biological Signal Processing Ltd. (Tel Aviv, Israel) system. The changes in the HF-QRS total energy were examined. Also conventional ST-T analysis for ischemic heart disease was performed. The results from the HF-QRS and the conventional ECG analysis were compared to the nuclear imaging results. The high frequency method detected 24 out of 28 of the ischemic patients (86%), and 37 out of 52 of the non-ischemic patients (71%). The conventional ST segment and T wave analysis detected only 11 out of 28 of the ischemic patients (39%), and 34 out of 52 of the non-ischemic patients (65%). In conclusion, the present study shows that the HF ECG has better clinical diagnostic performance compared to the conventional ECG based methods.
  • Keywords
    bioelectric potentials; diseases; electrocardiography; haemorheology; medical diagnostic computing; medical signal processing; single photon emission computed tomography; Biological Signal Processing Ltd. system; Israel; SPECT imaging; ST segment analysis; T wave analysis; Tel Aviv; Thallium stress myocardial perfusion imaging; high frequency MID-QRS potentials; high-resolution ECG waveforms; ischemic heart disease diagnosis; nuclear imaging; Cardiac disease; Electrocardiography; Frequency; High-resolution imaging; Image segmentation; Ischemic pain; Morphology; Myocardium; Signal analysis; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2003
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-8170-X
  • Type

    conf

  • DOI
    10.1109/CIC.2003.1291281
  • Filename
    1291281