Title
Robust and computational efficient QRS detection
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
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.
Comments
At the time of publication, Edward Carl Greco was affiliated with University of Nebraska State Museum.