Title :
Adaptive matched filtering for QRS detection
Author :
Hamilton, P.S. ; Tompkins, W.J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
The authors have investigated the use of an adaptive filter to whiten the noise in the ECG (electrocardiogram) signal and adjust the matched filter response accordingly. They applied a simple QRS detection strategy to the filtered signal and evaluated the QRS detector with ECG data containing severe motion artifact and muscle noise. Preliminary results indicate that in the presence of severe motion artifact, adaptive matched filtering for QRS detection represents a significant improvement over application of a matched filter with a white noise assumption.<>
Keywords :
adaptive filters; electrocardiography; matched filters; QRS detection; adaptive matched filtering; electrocardiogram; motion artifact; muscle noise;
Conference_Titel :
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
0-7803-0785-2
DOI :
10.1109/IEMBS.1988.94450