Title :
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
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;
Conference_Titel :
Computers in Cardiology 1993, Proceedings.
Conference_Location :
London
Print_ISBN :
0-8186-5470-8
DOI :
10.1109/CIC.1993.378391
