DocumentCode :
573600
Title :
A linear Kalman Notch Filter for Power-Line Interference Cancellation
Author :
Sameni, Reza
Author_Institution :
Sch. of Electr. & Comput. Eng., Shiraz Univ., Shiraz, Iran
fYear :
2012
fDate :
2-3 May 2012
Firstpage :
604
Lastpage :
610
Abstract :
A discrete-time linear Kalman filter is presented for removing power-line interference from biomedical recordings. The theoretical aspects of this filter, the relationship with conventional digital IIR and adaptive IIR notch filters, and its steady state behavior are studied in detail. As compared to previous studies, the filter is linear and does not require any information about the amplitude nor the phase of the power-line interference. The proposed method is fairly general and is applicable to broad classes of signals contaminated by periodic noise. The proposed model also accounts for multiple harmonics. Two examples of its applications for electrocardiogram and electroencephalogram denoising are presented.
Keywords :
IIR filters; adaptive Kalman filters; discrete time filters; electrocardiography; electroencephalography; harmonics suppression; interference suppression; medical signal processing; notch filters; signal denoising; adaptive IIR notch filter; biomedical recording; digital IIR notch filter; discrete time filter; harmonics; linear Kalman notch filter; periodic noise; power line interference cancellation; signal contamination; Brain modeling; Harmonic analysis; Kalman filters; Mathematical model; Noise; Q factor; Steady-state; Kalman Filter; Notch Filter; Power-line Interference Cancellation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
Conference_Location :
Shiraz, Fars
Print_ISBN :
978-1-4673-1478-7
Type :
conf
DOI :
10.1109/AISP.2012.6313817
Filename :
6313817
Link To Document :
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