• DocumentCode
    3174939
  • Title

    Improving ischemia diagnosis with synthesized ECG leads

  • Author

    Viik, JJ ; Hyttinen, JA ; Lehtinen, RM ; Malmivuo, JA

  • Author_Institution
    Ragnar Granit Inst., Tampere Univ. of Technol., Finland
  • fYear
    1995
  • fDate
    10-13 Sept. 1995
  • Firstpage
    713
  • Lastpage
    715
  • Abstract
    The aim of this study is to improve the diagnosis of ischemic heart diseases by developing new synthesized leads. The synthesized leads were constructed in a learning population (60 CAD and 60 low prevalence of heart disease patients) with mathematical optimization. The optimized parameter was the T value of the Student´s t test. Three synthesized leads were constructed as a combination of the three (I, II, V2), five (I, II, V2, V5, V6) and eight (I, II and VI-V6) leads. In the control population (100 CAD and 100 non-CAD) the synthesized leads had 80.3%, 79.7% and 78.1% ROC-areas using three, five and eight leads, respectively. ROC-areas of the standard leads ranged from 52.8% (lead III) to 80.9% (lead I). The results of this study indicated that the detection of the ischemia using exercise ECG can be improved by developing the synthesized leads. Additionally, the developed method would give opportunity to more effective localization of the ischemia. The usefulness of the method and the synthesized leads need further studies.
  • Keywords
    electrocardiography; medical signal processing; optimisation; Student´s t test; T value; heart disease patients; ischemia diagnosis improvement; ischemic heart diseases diagnosis; learning population; mathematical optimization; optimized parameter; synthesized ECG leads; Cardiac disease; Coronary arteriosclerosis; Electrocardiography; Electrodes; Ischemic pain; Merging; Myocardium; Signal processing; Signal synthesis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1995
  • Conference_Location
    Vienna, Austria
  • Print_ISBN
    0-7803-3053-6
  • Type

    conf

  • DOI
    10.1109/CIC.1995.482764
  • Filename
    482764