Automatic understanding of ECG signal

The recently introduced methods of automatic understanding of digital content are very interesting alternative to the traditional scheme of signal processing in cardiology. Although the methodology of signal understanding was originally developped for medical images, significant improvements can be made also in principal areas of electrocardiogram applications: abnormality preselection, database searching and fingerprinting. This paper is devoted to introduction and discussion of advantages of this new approach.