A comprehensive survey of the feature extraction methods in the EEG research

Authors:
Mohammad A. Rahman;Wanli Ma;Dat Tran;John Campbell
Affiliations:
Faculty of Information Sciences & Engineering, University of Canberra, Australia;Faculty of Information Sciences & Engineering, University of Canberra, Australia;Faculty of Information Sciences & Engineering, University of Canberra, Australia;Faculty of Information Sciences & Engineering, University of Canberra, Australia
Venue:
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
Year:
2012

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Abstract

This survey paper categories, compares, and summaries from published technical and review articles in feature extraction methods in Electroence-phalography research and defines the feature, feature extraction, formalizes the relevance of the Electroencephalography data analysis in the health applications. Compared to all related reviews on feature extraction, this survey covers much more technical articles to the best of our knowledge, which describes most of the feature extraction methods used in the Electroencephalography related research domains.