Title :
Adaptive filtering of EKG signals with little a priori information
Author :
Shen, Peggy ; Lindquist, Claude S.
Author_Institution :
Dept. of Electr. Eng., Santa Clara Univ., CA, USA
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
Adaptive filtering allows noisy signals to be analyzed. This paper examines different types of adaptive estimation filters for EKG signals having little a priori information.
Keywords :
Wiener filters; adaptive estimation; adaptive filters; electrocardiography; medical signal processing; smoothing methods; ECG signals; Wiener filter; adaptive estimation filters; adaptive filtering; little a priori information; noisy signals; optimum window smoothing; Adaptive algorithm; Adaptive filters; Biomedical computing; Biomedical engineering; Filtering algorithms; Heart; Information filtering; Information filters; Muscles; Smoothing methods;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.910974
