Title :
Removing periodic noise in F-wave: a dynamic notch filter approach
Author_Institution :
NEUROMetrix, Inc, Waltham, MA, USA
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1280424