Robust and computational efficient QRS detection

Authors

Alan B. Bond, University of Nebraska State Museum
Edward Carl Greco, Arkansas Tech UniversityFollow
Richard Bowser, University of Nebraska State Museum
Nazih N. Kadri, University of Nebraska State Museum
Michael H. Sketch, University of Nebraska State Museum

Document Type

Conference Proceeding

Publication Date

12-1-1993

Department

Electrical Engineering

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.

First Page

507

Last Page

510

Publication Title

Computers in Cardiology

ISBN

818654708

Comments

At the time of publication, Edward Carl Greco was affiliated with University of Nebraska State Museum.

Recommended Citation

Bond, A. B., Greco, E. C., Bowser, R., Kadri, N. N. & Sketch, M. H. (1993). Robust and computational efficient QRS detection. Computers in Cardiology 1993 Proceedingsin London, UK: 507-510.