A Comprehensive Survey of the Feature Extraction Methods in the EEG Research

Wanli Ma, Dat Tran, John Campbell

Research output: A Conference proceeding or a Chapter in BookConference contribution

9 Citations (Scopus)

Abstract

This survey paper categories, compares, and summaries from published technical and review articles in feature extraction methods in Electroencephalography 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.
Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing (ICA3PP 2012)
Subtitle of host publicationLecture Notes in Computer Science
EditorsYang Xiang, Ivan Stojmenovic, Bernady O Apduhan, Guojun Wang, Nakano Koji, Y Zomaya Albert
Place of PublicationBerlin Heidelberg
PublisherSpringer
Pages274-283
Number of pages10
Volume7440
ISBN (Electronic)9783642330650
ISBN (Print)9783642330643
DOIs
Publication statusPublished - 2012
Event12th International Conference on Algorithms and Architectures for Parallel Processing ICA3PP 2012: ICA3PP 2012 - Fukuoka, Fukuoka, Japan
Duration: 4 Sep 20127 Sep 2012
http://nsclab.org/ica3pp12/

Conference

Conference12th International Conference on Algorithms and Architectures for Parallel Processing ICA3PP 2012
Abbreviated titleICA3PP 2012
CountryJapan
CityFukuoka
Period4/09/127/09/12
OtherICA3PP 2012 is the 12th in this series of conferences started in 1995 that are devoted to algorithms and architectures for parallel processing. ICA3PP is now recognized as the main regular event of the world that is covering the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated in every aspects of daily life, the power of computing system has become increasingly critical. This conference provides a forum for countries around the world to exchange ideas for improving the computation power of computing systems.
Following the traditions of the previous successful ICA3PP conferences held in Hangzhou, Brisbane, Singapore, Melbourne, Hong Kong, Beijing, Cyprus, Taipei, Busan, and Melbourne, ICA3PP 2012 will be held in Fukuoka, Japan. The objective of ICA3PP 2012 is to bring together researchers and practitioners from academia, industry and governments to advance the theories and technologies in parallel and distributed computing. ICA3PP 2012 will focus on two broad areas of parallel and distributed computing, i.e., architectures, algorithms and networks, and systems and applications. The conference of ICA3PP 2012 will be organized by Kyushu Sangyo University, Japan
Internet address

Fingerprint

Electroencephalography
Feature extraction
Health

Cite this

Ma, W., Tran, D., & Campbell, J. (2012). A Comprehensive Survey of the Feature Extraction Methods in the EEG Research. In Y. Xiang, I. Stojmenovic, B. O. Apduhan, G. Wang, N. Koji, & Y. Z. Albert (Eds.), Algorithms and Architectures for Parallel Processing (ICA3PP 2012): Lecture Notes in Computer Science (Vol. 7440, pp. 274-283). Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-642-33065-0_29
Ma, Wanli ; Tran, Dat ; Campbell, John. / A Comprehensive Survey of the Feature Extraction Methods in the EEG Research. Algorithms and Architectures for Parallel Processing (ICA3PP 2012): Lecture Notes in Computer Science. editor / Yang Xiang ; Ivan Stojmenovic ; Bernady O Apduhan ; Guojun Wang ; Nakano Koji ; Y Zomaya Albert. Vol. 7440 Berlin Heidelberg : Springer, 2012. pp. 274-283
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abstract = "This survey paper categories, compares, and summaries from published technical and review articles in feature extraction methods in Electroencephalography 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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Ma, W, Tran, D & Campbell, J 2012, A Comprehensive Survey of the Feature Extraction Methods in the EEG Research. in Y Xiang, I Stojmenovic, BO Apduhan, G Wang, N Koji & YZ Albert (eds), Algorithms and Architectures for Parallel Processing (ICA3PP 2012): Lecture Notes in Computer Science. vol. 7440, Springer, Berlin Heidelberg, pp. 274-283, 12th International Conference on Algorithms and Architectures for Parallel Processing ICA3PP 2012, Fukuoka, Japan, 4/09/12. https://doi.org/10.1007/978-3-642-33065-0_29

A Comprehensive Survey of the Feature Extraction Methods in the EEG Research. / Ma, Wanli; Tran, Dat; Campbell, John.

Algorithms and Architectures for Parallel Processing (ICA3PP 2012): Lecture Notes in Computer Science. ed. / Yang Xiang; Ivan Stojmenovic; Bernady O Apduhan; Guojun Wang; Nakano Koji; Y Zomaya Albert. Vol. 7440 Berlin Heidelberg : Springer, 2012. p. 274-283.

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

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PY - 2012

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AB - This survey paper categories, compares, and summaries from published technical and review articles in feature extraction methods in Electroencephalography 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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A2 - Stojmenovic, Ivan

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Ma W, Tran D, Campbell J. A Comprehensive Survey of the Feature Extraction Methods in the EEG Research. In Xiang Y, Stojmenovic I, Apduhan BO, Wang G, Koji N, Albert YZ, editors, Algorithms and Architectures for Parallel Processing (ICA3PP 2012): Lecture Notes in Computer Science. Vol. 7440. Berlin Heidelberg: Springer. 2012. p. 274-283 https://doi.org/10.1007/978-3-642-33065-0_29