A syntactic algorithm incorporating piecewise linear approximation and tabular parsing techniques enables accurate, real-time measurement of peak amplitude, duration, and shape in electrocardiograms.
A syntactic algorithm using piecewise linear approximation and tabular parsing can accurately and rapidly detect peaks in electrocardiogram waveforms for real-time processing.
Peaks in a digitized waveform are detected by an algorithm incorporating piecewise linear approximation and tabular parsing techniques. Several parameters serve to identify the waveform context enabling accurate measurement of peak amplitude, duration, and shape. The algorithm is of sufficient speed to allow on-line real-time processing. An example of its application is demonstrated on an electrocardiogram.
Steven L. Horowitz (Thu,) conducted a other in Electrocardiogram waveform analysis. Syntactic algorithm for peak detection was evaluated on Measurement of peak amplitude, duration, and shape. A syntactic algorithm incorporating piecewise linear approximation and tabular parsing techniques enables accurate, real-time measurement of peak amplitude, duration, and shape in electrocardiograms.