MURAL - Maynooth University Research Archive Library



    Hemodynamics for brain-computer interfaces: optical correlates of control signals


    Matthews, Fiachra and Pearlmutter, Barak A. and Ward, Tomas E. and Soraghan, Christopher and Markham, Charles (2008) Hemodynamics for brain-computer interfaces: optical correlates of control signals. IEEE Signal Processing Magazine, 25 (1). pp. 87-94. ISSN 1053-5888

    [img]
    Preview
    Download (522kB) | Preview
    Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    This article brings together the various elements that constitute the signal processing challenges presented by a hemodynamics-driven functional near-infrared spectroscopy (fNIRS) based brain-computer interface (BCI). We discuss the use of optically derived measures of cortical hemodynamics as control signals for next generation BCIs. To this end we present a suitable introduction to the underlying measurement principle, we describe appropriate instrumentation and highlight how and where performance improvements can be made to current and future embodiments of such devices. Key design elements of a simple fNIRS-BCI system are highlighted while in the process identifying signal processing problems requiring improved solutions and suggesting methods by which this might be accomplished.

    Item Type: Article
    Additional Information: Copyright Notice "©2008 IEEE. Reprinted from IEEE Signal Processing Magazine. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. " http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4408445&isnumber=4404853
    Keywords: Brain: Haemodynamics; Human computer interaction; Infrared spectroscopy; Medical signal processing; Brain-computer interfaces; Cortical hemodynamics; fNIRS; Functional near-infrared spectroscopy; Signal processing.
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 1360
    Identification Number: https://doi.org/10.1109/MSP.2008.4408445
    Depositing User: Barak Pearlmutter
    Date Deposited: 12 May 2009 16:26
    Journal or Publication Title: IEEE Signal Processing Magazine
    Publisher: IEEE Signal Processing Society
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year