Suspicious polyphase patterns of normal looking ECGs provide fast early diagnoses of a coronary artery disease

In this paper higher-order statistics (HOS) based algorithms are employed to develop discriminant contour patterns in the multi-dimensional phase of the polyspectra (polyphase) of `normal´ looking ECGs in outpatients having weariness and general malaise or chest pain. Similar polyphase patterns have been found in the ECGs of acute myocardial infarct patients with or without diagnostic S-T segment and T-wave changes. The polyphase computation is done in milliseconds but a temporal window of 10 ECG cycles is necessary in each of the polyspectral averaging process of 10 seconds. A high resolution three-lead ECG is more than adequate for polyphase discrimination. So far, the results of an ongoing pilot study show that this is a potentially powerful and spot-on diagnostic technique. Particularly in those 50 percent pre-infarction syndrome cases which show perfectly normal 12-lead ECGs and will not be identified early enough to prevent them from developing acute myocardial infarction