• DocumentCode
    2366206
  • Title

    Automated ECG injury scores in the prediction of the myocardial infarction (AMI) size

  • Author

    Porela, P. ; Helenius, H. ; Voipio-Pulkki, L.-M.

  • Author_Institution
    Turku Univ., Finland
  • fYear
    1998
  • fDate
    13-16 Sep 1998
  • Firstpage
    305
  • Lastpage
    308
  • Abstract
    The authors studied the use of automated ECG injury scores in the prediction of the myocardial injury size during the course of an acute ischemic event. The study population consisted of 279 consecutive patients with suspected acute myocardial infarction (AMI). Log CK-MB correlated with the maximal Selvester QRS score (r=0.35, p<0.001) and with the maximal modified Aldrich ST elevation score (r=0.44, p<0.001). At admission the QRS score correlated with log CK-MB (r=0.18, p=0.003), but the ST elevation score was already more predictive for the forthcoming CK-MB leakage (r=0.41, p<0.001). It is concluded that in unselected patients with suspected AMI, the magnitude of the forthcoming myocardial injury size can be predicted from the automated admission ECG
  • Keywords
    diseases; electrocardiography; medical signal processing; muscle; QRS score; automated ECG injury scores; automated admission ECG; electrodiagnostics; maximal modified Aldrich ST elevation score; myocardial infarction size prediction; Ambient intelligence; Biomedical imaging; Blood; Electrocardiography; Electrodes; Injuries; Myocardium; Rhythm; Size measurement; Storage automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1998
  • Conference_Location
    Cleveland, OH
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-5200-9
  • Type

    conf

  • DOI
    10.1109/CIC.1998.731794
  • Filename
    731794