HIGH THROUGHPUT ECG HETEROGENEITY ASSESSMENT TO DETERMINE PRESENCE OF CORONARY ARTERY STENOSIS

摘要

A method and system for high-throughput detection of coronary artery stenosis observes trends in abnormal or pathologic morphology of the electrocardiogram (ECG). A first set of ECG signals is monitored from a patient. A baseline measurement is generated from the monitored first set of ECG signals to contain nonpathologic ECG morphologies in each lead. A second set of ECG signals is monitored from the patient and a second mean measurement during or after stress is generated from the second set of ECG signals. A residuum signal is generated for each lead based on the baseline measurement and the second mean measurement. The residuum signals are averaged across the leads for each timepoint. T-wave heterogeneity is quantified based on the generated residuum signals and the averaged residuum signal at each timepoint, and used to detect coronary artery stenosis.