中文说明：独立成分分析（ICA）是一种新兴的、有前途的分析工具
English Description：
Independent Component Analysis (ICA) has emerged as a novel and promising new tool for performing artifact corrections on EEG data. In this project, we used ICA to perform artifact correction on three types of artifacts namely, frontal (eye), Occipital (rear-head), and muscle. The EEG analyzing functions of the EEG toolbox available from the Salk Institude (www.salk.edu) were used for the ICA decomposition. We were able to successfully remove the eye and head artifacts from the EEG Data. The muscle artifacts could not be significantly reduced or removed due to the dispersion of the muscle artifact over the scalp.