Advanced signal processing methodology for the detection, localization and quantification of acute myocardial ischemia

摘要

Monopolar ECG signals are converted into the multichannel spectrum and autocorrelation domains, and different decision variables are identified from the autospectra. Statistically validated threshold levels are used for comparison with the decision variables to determine the probability of normal and ischemic conditions.