Robust and computational efficient QRS detection

Author

Bond, Alan B. ; Greco, E. Carl ; Bowser, Richard ; Kadri, Nazih N. ; Sketch, Michael H., Sr.

Author_Institution

State Museum, Nebraska Univ., Lincoln, NE, USA

fYear

1993

fDate

5-8 Sep 1993

Firstpage

507

Lastpage

510

Abstract

A QRS detection algorithm has been developed based on a multivariate model. It included three normalized measures-amplitude, first difference and spatial frequency. The terms are combined in a weighted sum to generate an indicator variable that is then compared to a detection threshold. An FIR band-pass filter, consisting of a cascaded series of running medians and means prefiltered the raw ECG signal to reduce high-frequency noise as well as low-frequency base line drift. The technique appears to be exceedingly robust, correctly detecting even aberrant QRS complexes in noise-corrupted ECGs

Keywords

FIR filters; band-pass filters; electrocardiography; medical signal processing; noise; FIR band-pass filter; QRS detection algorithm; aberrant QRS complexes; amplitude; cascaded series; computational efficiency; detection threshold; first difference; high-frequency noise reduction; indicator variable; low-frequency base line drift; multivariate model; noise-corrupted ECG; normalized measures; raw ECG signal prefiltering; robustness; running means; running medians; spatial frequency; weighted sum; Band pass filters; Computational efficiency; Detection algorithms; Detectors; Electrical resistance measurement; Electrocardiography; Frequency; Humans; Robustness; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1993, Proceedings.

Conference_Location

London

Print_ISBN

0-8186-5470-8

Type

conf

DOI

10.1109/CIC.1993.378391

Filename

378391