• DocumentCode
    2317750
  • Title

    Detection of acute myocardial ischemia by vessel-specific leads derived from the 12-lead electrocardiogram

  • Author

    Wang, JY ; Mirmoghisi, M. ; Warren, JW ; Wagner, GS ; Horá ek, BM

  • Author_Institution
    Philips Med. Syst., Andover, MA
  • fYear
    2007
  • fDate
    Sept. 30 2007-Oct. 3 2007
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    Our aim was to enhance diagnostic performance of ACC/ESC STEMI criteria based on 12-lead ECG by using criteria from 3 derived vessel-specific leads (VSLs). Study data consisted of 12-lead ECGs acquired during angioplasty-induced ischemic episodes due to balloon inflation in, respectively, LAD (n = 35), RCA (n = 47), and LCx (n = 17) coronary arteries. Three VSLs were derived from 12-lead ECG by previously developed lead transformations. We found that the detection of ischemic state, in any vessel, by means of the ACC/ESC criteria achieved the SE/SP of 60/96% in the total population, whereas in subgroups sorted by vessel SE/SP were 74/97% for LAD, 60/94% for RCA, and 36/100% for LCx. With derived VSLs at 110 muV threshold we achieved in total population SE/SP 84/93% and in subgroups 97/92% for LAD, 77/92% for RCA and 77/100% for LCx. Thus it appears that VSLs can markedly improve detection of ischemia, especially that caused by LCx artery occlusion.
  • Keywords
    biomedical electrodes; blood vessels; electrocardiography; medical signal detection; patient diagnosis; 12 lead ECG; ACC-ESC STEMI criteria; acute myocardial ischemia detection; angioplasty induced ischemic episodes; artery occlusion; coronary artery balloon inflation; electrocardiogram; ischemic state detection; lead transformations; vessel specific leads; Angioplasty; Arterial occlusion; Arteries; Databases; Electrocardiography; Inspection; Ischemic pain; Medical diagnostic imaging; Medical treatment; Myocardium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2007
  • Conference_Location
    Durham, NC
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-2533-4
  • Electronic_ISBN
    0276-6547
  • Type

    conf

  • DOI
    10.1109/CIC.2007.4745481
  • Filename
    4745481