A decision support system for ischemic event detection

This paper describes the main aspects of a decision support system for automatic detection of ischemic events from electrocardiogram (ECG) digital data. In order to detect ischemic events, the system extracts a number of autoregressive coefficients from the ECG signal as well as a measure of the ST-segment deviation. The Quadratic Discriminant Function was used to perform the ECG classification. An ECG visualization tool and an ECG digital data to XML converter were also developed in scope of this work.