Algorithm for ECG Signal Delineation through Delta-Sigma Modulation

Abstract

This manuscript reports the operation of a new algorithm for the fiducial points extraction from an electrocardiogram signal. The algorithm analyzes the Delta-sigma modulated slope of the ECG using a set of counters and thresholds to locate characteristic patterns of a specific wave. The algorithm successfully processes recordings from the QT database achieving a 99.57% detection accuracy for the R peak, 99.51% for the P wave, and 97.85% for the T wave.