论文信息 - Artifact Removal from EEG Signals

Artifact Removal from EEG Signals

Electroencephalographic (EEG) recordings are often contaminated with several artifacts.Powerline interference and baseline noise is always present in EEG response of every patient. A number of strategies are available to deal with noise effectively both at the time of EEG recording as well as during preprocessing of recorded data. The aim of the paper is to give an overview of the most common sources of noise and review methods for prevention and removal of noise in EEG recording ,including elimination of noise sources.

A. GuruvaReddy | Srilatha Narava

[1] Zhang Jingjing,et al. Variable Step Size LMS Algorithm , 2012 .

[2] S. Haykin,et al. Adaptive Filter Theory , 1986 .

[3] Sergio L. Netto,et al. Adaptive Filters: Structures, Algorithms, and Applications , 2007 .

[4] M. Ferdjallah,et al. Adaptive digital notch filter design on the unit circle for the removal of powerline noise from biomedical signals , 1994, IEEE Transactions on Biomedical Engineering.

[5] Srdjan S. Stankovic,et al. An adaptive notch filter with improved tracking properties , 1995, IEEE Trans. Signal Process..

[6] Bernard Widrow,et al. Least-mean-square adaptive filters , 2003 .

[7] G. Wilson,et al. Removal of ocular artifacts from electro-encephalogram by adaptive filtering , 2004, Medical and Biological Engineering and Computing.