VCG Interpretation through Artificial Learning (VITAL)
Donald E. Gustafson, M. Edward Womble, Megan Lancaster · PubMed Central · 1981
A system for automated VCG interpretation using tools of artificial intelligence and statistical signal processing is presently under development. The system differs substantially from current programs in the extraction of features to be used for rhythm and morphology interpretation. These are found based on ideas of statistical data compression and sufficient statistics rather than the commonly-used waveform measurements. A relatively large data base is being collected to train and evaluate the statistical pattern recognition algorithms used for interpretation. Representative results are presented to illustrate the approach and system performance.