CURVATURE-BASED FEATURE SELECTION FOR ELECTROPHYSIOLOGIC SIGNALS

摘要

A method for curvature based complex identification and classification comprises sensing a cardiac signal and computing curvatures at sample points on the sensed cardiac signal, extracting features from the computed curvatures, comparing the extracted features with a set of predetermined templates, and classifying the sensed cardiac signal based on the outcome of the comparison.