Investigation of bispectral index filtering and improvement using wavelet transform adaptive filter

Abstract

Electroencephalogram (EEG) signals are often contaminated with artifacts such as electromyography (EMG), eye blink and eye ball movement. These contaminated EEG signals may give incorrect values of Bispectral Index. If fixed band-pass filter is used to filter the overlapping signals between the EEG and the artifacts, the useful information in EEG signal could be lost. This paper proposes a method to filter the EEG signals using wavelet adaptive techniques. The preliminary result shows that this technique is capable to remove the artifacts from the EEG signal more efficiently.