A system for the detection of ischemic episodes in ambulatory ECG

Describes a system for the automated detection of ischemic changes in double channel ambulatory EGG. The high performance QRS detector, previously designed and tested by the authors, was applied. A subset of ECG records of the European ST-T Database was used for development, whereas the full set of 90 records and selected 24-hour ECG recordings were used for evaluation. Noisy ECG segments were rejected by the QRS detector or processed by the use of median filters. ST segment deviations, measured beat by beat on both channels, were used for detection of ischemic episodes. The time series of parameters were smoothed by nonlinear filters. Episode detection is based on the analysis of the 2-D path of the two ST deviations. Results of performance evaluation on the European ST-T Database are reported.