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.
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Rahman, M.A., Ma, W., Tran, D., Campbell, J. (2012). A Comprehensive Survey of the Feature Extraction Methods in the EEG Research. In: Xiang, Y., Stojmenovic, I., Apduhan, B.O., Wang, G., Nakano, K., Zomaya, A. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2012. Lecture Notes in Computer Science, vol 7440. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33065-0_29
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DOI: https://doi.org/10.1007/978-3-642-33065-0_29
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