Independent component analysis of saccade-related electroencephalogram waveforms

Tools

VIGON, L., SAATCHI, R., MAYHEW, J., TAROYAN, N., FRISBY, J., JOHNSTON, D. and PASCALIS, O. (2000). Independent component analysis of saccade-related electroencephalogram waveforms. ELECTRONICS LETTERS, 36 (12), 1006-1007.

Full text not available from this repository.
Related URLs:

    Abstract

    A methodology based on the signal separation technique of extended independent component analysis (ICA) is devised to analyse saccade-related electroencephalogram (FEG) waveforms. The methodology enables saccade-related components to be successfully extracted from the EEG mixtures and the brain regions responsible for their generation to be identified.

    Item Type: Article
    Additional Information: Times Cited: 2
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
    Page Range: 1006-1007
    Depositing User: Danny Weston
    Date Deposited: 13 Apr 2010 14:23
    Last Modified: 18 Mar 2021 09:30
    URI: https://shura.shu.ac.uk/id/eprint/1674

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics