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Integral Transform Technique for Monitoring Electrocardiograms.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING
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The paper applies time domain and filtered integral transform domain pattern recognition techniques to the problem of locating and discriminating between QRS-complexes and premature ventricular contractions in electrocardiograms. The data set consists of sixteen 100-second single lead electrocardiogram records. Sufficient electrocardiogram and pattern recognition theory is included to explain the technique and the results. Three different integral transforms are evaluated the discrete Fourier, the Walsh, and an accidentally discovered transform similar to the Walsh. Ninety-seven percent of the QRS-complexes and premature ventricular contractions PVCs in the records evaluated were located correctly. The three transform techniques classified between 90.8 and 92.5 of the QRS-complexes correctly and 85.6 and 93.2 of the PVCs correctly. Author
APPROVED FOR PUBLIC RELEASE