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
    @inproceedings{e520eb3059374766b1b6f757a6a7d53f,
    title = "A Comprehensive Survey of the Feature Extraction Methods in the EEG Research",
    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.",
    keywords = "EEG, Feature Extraction",
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    editor = "Yang Xiang and Ivan Stojmenovic and Apduhan, {Bernady O} and Guojun Wang and Nakano Koji and Albert, {Y Zomaya}",
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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

    T1 - A Comprehensive Survey of the Feature Extraction Methods in the EEG Research

    AU - Ma, Wanli

    AU - Tran, Dat

    AU - Campbell, John

    PY - 2012

    Y1 - 2012

    N2 - 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.

    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.

    KW - EEG

    KW - Feature Extraction

    U2 - 10.1007/978-3-642-33065-0_29

    DO - 10.1007/978-3-642-33065-0_29

    M3 - Conference contribution

    SN - 9783642330643

    VL - 7440

    SP - 274

    EP - 283

    BT - Algorithms and Architectures for Parallel Processing (ICA3PP 2012)

    A2 - Xiang, Yang

    A2 - Stojmenovic, Ivan

    A2 - Apduhan, Bernady O

    A2 - Wang, Guojun

    A2 - Koji, Nakano

    A2 - Albert, Y Zomaya

    PB - Springer

    CY - Berlin Heidelberg

    ER -

    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