Adaptive Detector of QRS Complexes of an Electrocardiogram Signal Based on the Hilbert Transform

Resumo

A QRS complex detector based on the consecutive application of bandpass filtering, the Hilbert transform and an adaptive thresholding algorithm is developed. The detector is compared with existent QRS complex detectors using a model of an electrocardiogram signal contaminated by interferences of various types and intensity. The developed method of QRS complex detecting is verified using the MIT PhysioNet database of clinical electrocardiogram signal recordings.