Detection of acute ischemia episodes from QRS angles changes using a Laplacian noise model

摘要: Ischemia detectors represent a useful diagnosis tool to identify acute ischemic episodes in coronary artery disease patients. In this paper, detector of events based on the analysis QRS angles is presented. This ischemia has been developed by modelling ischemia-induced changes as an abrupt change with certain transition time, assuming Laplacian noise-model. The standard 12-lead electrocardiogram was used test proposed detector. For such proposal, we analyzed 79 patients undergoing PCI procedure during about 5-min occlusion duration one major (LAD=25, RCA=38 and LCX=16). three at groups presented good outcomes terms sensitivity specificity achieving up Se=72.7%, Sp=95.5% LAD group, Se=75.2%, Sp=97.2% RCA group Se=72.2%, Sp=100%. LCX group. We conclude that can be trigger for detecting myocardial although must further validated other contexts which occur more gradually.