Hemodynamic risk severity based upon detection and quantification of cardiac dysrhythmia behavior using a pulse volume waveform

Abstract

A method for identifying cardiac dysrhythmia behavior may include acquiring pulse volume wave data from a sensor associated with a patient, and calculating metrics associated with peaks detected therein. The metrics may include differences in amplitudes of successive pulse volume peaks and differences in the times of occurrence of successive pulse volume peaks. A dispersion analysis of the time differences, obtained during a defined time window, may result in one or more time difference dispersion metrics. Amplitude differences may be compared to an amplitude baseline, and time differences may be compared to a time baseline. Cardiac dysrhythmia behavior may be identified by a combination of an amplitude difference outside of the amplitude baseline, a corresponding time difference outside of the time baseline, and the values of one or more time difference dispersion metrics.