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Non-invasive computerised detection of acute coronary occlusion
Authors:G.?Dori  author-information"  >  author-information__contact u-icon-before"  >  mailto:g_dori@bezeqint.net"   title="  g_dori@bezeqint.net"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Y.?Denekamp,S.?Fishman,A.?Rosenthal,V.?Frajewicki,B.?S.?Lewis,H.?Bitterman
Affiliation:(1) Department of Internal Medicine, Carmel Medical Center, Haifa, Israel;(2) Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel;(3) Faculty of Physics, Technion-Israel Institute of Technology, Haifa, Israel;(4) Department of Nephrology, Carmel Medical Center, Haifa, Israel;(5) Department of Cardiology, Carmel Medical Center, Haifa, Israel
Abstract:The goal of this study was to evaluate the role of a computerised, non-invasive ECG method for detecting acute coronary occlusion (ACO). Ninety-five standard ECG leads were recorded, before and during ACO, from 18 patients undergoing balloon angioplasty. ECG amplitude and derivative parameters were calculated for the QRS, ST and T components of the ECG signal, before and during ACO. Results were obtained for each lead. Sensitivity of the standard visual ECG analysis for detecting ACO was 48%, whereas the percentage of conventional ECG changes during baseline was 14%. For the best ECG parameter, the amplitude parameter of the QRS component, sensitivity was 82%, and the percentage of parameter changes during baseline was 20%. The sensitivity for detecting ACO with five of the six ECG parameters studied was greater than that of the standard visual analysis. Ischaemic changes were detected in 4.3±1.6 leads per patient using the amplitude parameter of the QRS component, whereas, with the standard visual analysis, 2.5±2.1 leads demonstrated such changes (p<0.001). Results were then summarized per patient. The standard visual ECG analysis detected ACO in 15 of 18 patients (83%), if at least one lead showed ischaemic changes. The computerised analysis detected ACO in all 18 patients using the same criterion. The sensitivity of the computerised method for detecting ACO in the clinical setting of angioplasty was greater than that of the standard visual analysis. It is suggested that the computerised method may be useful for detecting myocardial ischaemia in other clinical settings of acute myocardial ischaemia.
Keywords:ECG analysis  Myocardial ischaemia  PCI  Signal analysis  Phase plane
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