Abstract
A digital computer program has been described for automatic interpretation of the most common arrhythmias, which can be recognized in 6- and 10-second ECG recordings. A decision-tree method was applied for classification. The logic attempted to compensate for possible measurement or pattern recognition failures. The program consisting of approximately 1700 FORTRAN instructions, was developed using a learning file of various arrhythmias and was tested against independent new records. Correct diagnosis of sinus rhythm without atrioventricular block was obtained in 86–97% of the cases dependent upon the material analyzed in 6- as well as 10-second recordings. Atrial fibrillation was correctly recognized in 82 and 92%, respectively, of short and long records. Eighty-seven percent of ventricular extrasystoles and aberrant beats were found correctly with a relatively low incidence of false positives, which compares favorably with results published by others. The limitations of the program and of arrhythmia detection in general, using short strips recorded with surface ECG leads, are discussed.
Published Version
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