Robust and computational efficient QRS detection
Publication
, Journal Article
Bond, AB; Greco, EC; Bowser, R; Kadri, NN; Sr, MHS
Published in: Computers in Cardiology
1993
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.
Duke Scholars
Published In
Computers in Cardiology
Publication Date
1993
Start / End Page
507 / 510
Related Subject Headings
- Cardiovascular System & Hematology
Citation
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Bond, A. B., Greco, E. C., Bowser, R., Kadri, N. N., & Sr, M. H. S. (1993). Robust and computational efficient QRS detection. Computers in Cardiology, 507–510.
Bond, A. B., E. C. Greco, R. Bowser, N. N. Kadri, and M. H. S. Sr. “Robust and computational efficient QRS detection.” Computers in Cardiology, 1993, 507–10.
Bond AB, Greco EC, Bowser R, Kadri NN, Sr MHS. Robust and computational efficient QRS detection. Computers in Cardiology. 1993;507–10.
Bond, A. B., et al. “Robust and computational efficient QRS detection.” Computers in Cardiology, 1993, pp. 507–10.
Bond AB, Greco EC, Bowser R, Kadri NN, Sr MHS. Robust and computational efficient QRS detection. Computers in Cardiology. 1993;507–510.
Published In
Computers in Cardiology
Publication Date
1993
Start / End Page
507 / 510
Related Subject Headings
- Cardiovascular System & Hematology