Independent Component Analysis and Time-Frequency Method for Noisy EEG Signal Analysis
Ning Ye, Xu Wang, Yuge Sun · 2006
EEG signal recorded by scalp electrode is a mixture of signals from different brain regions and with noisy signal. Independent component analysis (ICA) is essentially a method for extracting individual signals from mixtures of signals. Time-frequency analysis provides a powerful tool for the analysis of EEG signals. The original EEG signal is divided into independent components, and the noisy components were chosen by time-frequency analysis method. The results show that reconstructed the reserved components can obtain clean EEG signal