Journal
INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2018, PT II
Volume 853, Issue -, Pages 125-135Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-319-99996-8_12
Keywords
EEG; Artifact correction; ASR; ICA; PCA
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The paper presents the results of a comparative study of the artifact subspace re-construction (ASR) method and two other popular methods dedicated to correct EEG artifacts: independent component analysis (ICA) and principal component analysis (PCA). The comparison is based on automatic rejection of EEG signal epochs performed on a dataset of motor imagery data. ANOVA results show a significantly better level of artifact correction for the ASR method. What is more, the ASR method does not cause serious signal loss compared to other methods.
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