Single trial EEG classification of observed wrist movements

H. Lakany, G. Valsan, B.A. Conway

    Research output: Chapter in Book/Report/Conference proceedingConference contribution book


    In this paper, we present the results of single trial EEG classification of observed wrist movements. This study is part of our endeavour to develop brain computer interfaces as an assistive device for people with severe motor disabilities. Our methods rely on a simple but robust algorithm that requires no subject training to modulate brain activity. We adopt a method based on extraction and selection of statistically significant time-frequency features using ANOVA and principal component analysis. Classification results achieved ~80% (±12%.
    Original languageEnglish
    Title of host publicationProceedings of the 4th International IEEE/EMBS Conference on Neural Engineering, 2009. NER '09
    ISBN (Print)978-1-4244-2072-8
    Publication statusPublished - 29 Apr 2009


    • trial
    • EEG
    • wrist
    • movement


    Dive into the research topics of 'Single trial EEG classification of observed wrist movements'. Together they form a unique fingerprint.

    Cite this