An adaptive EEG filtering approach to maximize the classification accuracy in motor imagery

Kais Belwafi, Ridha Djemal, Fakhreddine Ghaffari, Olivier Romain

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    17 Scopus citations

    Abstract

    We propose in this paper a novel approach of adaptive filtering of EEG signals. The filter adapts to the intrinsic characteristics of each person. The goal of the proposed method is to enhance the accuracy of the home devices system controlled by the thoughts related to two motor imagery actions. μ-rhythm and β-rhythm are the specific returned bands that contain the information. The main idea of the proposed method is to preserve the frequency bands of interest with a different value of the SNR on the stop-band. Our experimental results show the benefits of a suitable tuning of the filter on the accuracy of the classifier on the output of the EEG system. The proposed approach outperforms significantly performances reported in the literature and the effectively enhancement of the classification accuracy can reach up to 40% based only on filtering tuning.

    Original languageBritish English
    Title of host publicationIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CCMB 2014
    Subtitle of host publication2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages121-126
    Number of pages6
    ISBN (Electronic)9781479945504
    DOIs
    StatePublished - 23 Jan 2014
    Event2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, CCMB 2014 - Orlando, United States
    Duration: 9 Dec 201412 Dec 2014

    Publication series

    NameIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CCMB 2014: 2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Proceedings

    Conference

    Conference2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, CCMB 2014
    Country/TerritoryUnited States
    CityOrlando
    Period9/12/1412/12/14

    Keywords

    • brain computer interface (BCI)
    • EEG filters optimization
    • ElectroEncephaloGram (EEG)
    • Motor imagery

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