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   A novel method to capture the onset of dynamic electrocardiographic ischemic changes and its implications to arrhythmia susceptibility  
   
نویسنده sayadi o. ,puppala d. ,ishaque n. ,doddamani r. ,merchant f.m. ,barrett c. ,singh j.p. ,heist e.k. ,mela t. ,martínez j.p. ,laguna p. ,armoundas a.a.
منبع journal of the american heart association - 2014 - دوره : 3 - شماره : 5
چکیده    Background-this study investigates the hypothesis that morphologic analysis of intracardiac electrograms provides a sensitive approach to detect acute myocardial infarction or myocardial infarction-induced arrhythmia susceptibility. large proportions of irreversible myocardial injury and fatal ventricular tachyarrhythmias occur in the first hour after coronary occlusion; therefore,early detection of acute myocardial infarction may improve clinical outcomes. methods and results-we developed a method that uses the wavelet transform to delineate electrocardiographic signals,and we have devised an index to quantify the ischemia-induced changes in these signals. we recorded body-surface and intracardiac electrograms at baseline and following myocardial infarction in 24 swine. statistically significant ischemia-induced changes after the initiation of occlusion compared with baseline were detectable within 30 seconds in intracardiac left ventricle (p<0.0016) and right ventricle-coronary sinus (p<0.0011) leads,60 seconds in coronary sinus leads (p<0.0002),90 seconds in right ventricle leads (p<0.0020),and 360 seconds in body-surface electrocardiographic signals (p<0.0022). intracardiac leads exhibited a higher probability of detecting ischemia-induced changes than body-surface leads (p<0.0381),and the right ventricle-coronary sinus configuration provided the highest sensitivity (96%). the 24-hour ecg recordings showed that the ischemic index is statistically significantly increased compared with baseline in lead i,avr,and all precordial leads (p<0.0388). finally,we showed that the ischemic index in intracardiac electrograms is significantly increased preceding ventricular tachyarrhythmic events (p<0.0360). conclusions-we present a novel method that is capable of detecting ischemia-induced changes in intracardiac electrograms as early as 30 seconds following myocardial infarction or as early as 12 minutes preceding tachyarrhythmic events. © 2014 the authors. published on behalf of the american heart association,inc.,by wiley blackwell.
کلیدواژه ECG delineation; Intracardiac signals; Ischemic index; Myocardial infarction; Wavelet transform
آدرس division of cardiology,massachusetts general hospital,harvard medical school,boston,ma, United States, division of cardiology,massachusetts general hospital,harvard medical school,boston,ma, United States, division of cardiology,massachusetts general hospital,harvard medical school,boston,ma, United States, division of cardiology,massachusetts general hospital,harvard medical school,boston,ma, United States, cardiology division,emory university school of medicine,atlanta,ga, United States, division of cardiology,cardiac arrhythmia service,massachusetts general hospital,boston,ma, United States, division of cardiology,cardiac arrhythmia service,massachusetts general hospital,boston,ma, United States, division of cardiology,cardiac arrhythmia service,massachusetts general hospital,boston,ma, United States, division of cardiology,cardiac arrhythmia service,massachusetts general hospital,boston,ma, United States, biomedical signal interpretation and computational simulation (bsicos) group,aragon institute of engineering research,iis aragón,university of zaragoza,zaragoza,aragon,spain,centro de investigación biomédica en red en bioingeniería,biomateriales y nanomedicina (ciber-bbn),zaragoza,aragon, Spain, biomedical signal interpretation and computational simulation (bsicos) group,aragon institute of engineering research,iis aragón,university of zaragoza,zaragoza,aragon,spain,centro de investigación biomédica en red en bioingeniería,biomateriales y nanomedicina (ciber-bbn),zaragoza,aragon, Spain, division of cardiology,massachusetts general hospital,harvard medical school,boston,ma, United States
 
     
   
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