OPTIMIZING THE MACHINE DESCRIPTION OF ELECTROCARDIOGRAM

The electrocardiogram is a digital record of effective action potentials of heart muscle fibres, thus it contains an important information about the heart function. Unfortunately, the signal theory-based description of the ECG contents is not efficient in extracting these data, and the practical interpretation software is mostly based on heuristic statements. This conclusion was a motivation for our research on the expert-like machine reasoning based on ECG perception analysis, physiology-driven feature extraction and fuzzy logic. This paper highlights the aspect of optimal description of an electrocardiogram contents in a digital record.

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