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

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


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: 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

Repository Staff Only(login required)

View Item Item control page

Document Downloads

More statistics for this item...