Abstract
A software complex for the automation of functional electrocardiographic (ECG) studies is presented. The algorithms of ECG signal processing and recognition of diagnostically significant ECG changes are considered. Methods of 3D visualization are proposed to increase the informativeness of electrocardiographic data and improve diagnostic accuracy.
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