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
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