Matthews, Fiachra and Pearlmutter, Barak A. and Ward, Tomas E. and Soraghan, Christopher John 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
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: |
|
| Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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