DocumentCode
406912
Title
Removing periodic noise in F-wave: a dynamic notch filter approach
Author
Kong, Xuan
Author_Institution
NEUROMetrix, Inc, Waltham, MA, USA
Volume
3
fYear
2003
fDate
17-21 Sept. 2003
Firstpage
2503
Abstract
Periodic interference removal is necessary in many biomedical signal applications. Notch filter is the most commonly used filtering technique. Two competing factors must be considered when the filter parameter is determined: narrowness of the notch bandwidth and the rate of convergence. When the constraints cannot be specified uniformly for all signals to be processed, or are unknown a priori, a filter with a fixed parameter may not yield optimal results for a majority of the signals to be processed. In this paper, a notch filter with the parameter adjustable dynamically is proposed. Its superior performance is demonstrated via an F-wave analysis example.
Keywords
bioelectric phenomena; biological techniques; interference (signal); medical signal processing; neurophysiology; notch filters; F-wave; biomedical signal applications; dynamic notch filter approach; filtering technique; notch bandwidth; periodic interference removal; periodic noise; rate of convergence; Adaptive filters; Bandwidth; Convergence; Delay; Filtering; Frequency conversion; Interference; Morphology; Neurons; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7789-3
Type
conf
DOI
10.1109/IEMBS.2003.1280424
Filename
1280424
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