Comprehensive Study on Removal of Power Line Interference in EEG
Wang Bai-xiang · Chuangan jishu xuebao · 2010
Electroencephalogram(EEG)is feeble and it is always contaminated by power line interference,which makes it difficult to extract and analyze EEG signals.Traditional notch filter weakens parts of EEG signals since its spectrum is close to power line interference.In this paper,three robust algorithms are investigated,which are notch filter based on pole-zero placement algorithm,adaptive notch filter and independent component analysis(ICA).Comprehensive comparisons between these algorithms are made and the experimental results demonstrate that the proposed algorithms can eliminate 50 Hz power line interference successfully and do little harm to useful EEG signals.Remarkably,ICA algorithm is the best choice for extracting EEG signals and eliminating artifacts due to its perfect performance shown in our experiments.In addition,these algorithms can be applied to other scenarios where notch filter is needed.