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Hemodynamics for brain-computer interfaces: optical correlates of control signals |
Matthews, Fiachra; Pearlmutter, Barak A.; Ward, Tomas E.; Soraghan, Christopher; Markham, Charles
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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.
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Keyword(s):
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Computer Science; Brain Haemodynamics; Human computer interaction; Infrared spectroscopy; Medical signal processing; Brain-computer interfaces; Cortical hemodynamics; fNIRS; Functional near-infrared spectroscopy; Signal processing. |
Publication Date:
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2008 |
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Type:
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Journal article |
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Peer-Reviewed:
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Yes |
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Institution:
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Maynooth University |
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Citation(s):
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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 |
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Publisher(s):
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IEEE Signal Processing Society |
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File Format(s):
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other |
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Related Link(s):
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http://eprints.maynoothuniversity.ie/1360/1/TW_herm.pdf |
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First Indexed:
2014-09-20 05:07:54 Last Updated:
2017-04-25 17:00:25 |
