Systems and strategies for accessing the information content of fNIRS imaging in support of noninvasive BCI applications

Randall L. Barbour; Harry L. Graber; Yong Xu; Yaling Pei; Glenn R. Wylie; Gerald T. Voelbel; John DeLuca; Andrei V. Medvedev

doi:10.1007/978-3-642-02812-0_80

Systems and strategies for accessing the information content of fNIRS imaging in support of noninvasive BCI applications

Randall L. Barbour, Harry L. Graber, Yong Xu, Yaling Pei, Glenn R. Wylie, Gerald T. Voelbel, John DeLuca, Andrei V. Medvedev

Occupational Therapy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

An essential component for a practical noninvasive brain-computer interface (BCI) system is data recording technology that can access the information-processing activity of the brain with high fidelity and throughput. Functional near-infrared spectroscopic (fNIRS) imaging is a methodology that shows promise in meeting this need, having a demonstrated sensitivity to both the slow hemodynamic response that follows neuroactivation and to the lower amplitude fast optical response that is considered a direct correlate of neuroactivation. In this report we summarize the technology integration strategy we have developed that permits detection of both signal types with a single measuring platform, and present results that document the ability to detect these data types transcranially in response to two different visual paradigms. Also emphasized is the effectiveness of different data analysis approaches that serve to isolate signals of interest. The findings support the practical utility of NIRS-based imaging methods for development of BCI applications.

Original language	English (US)
Title of host publication	Foundations of Augmented Cognition
Subtitle of host publication	Neuroergonomics and Operational Neuroscience - 5th International Conference, FAC 2009, Held as Part of HCI International 2009, Proceedings
Pages	709-718
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-02812-0_80
State	Published - 2009
Event	5th International Conference on Foundations of Augmented Cognition, FAC 2009, Held as Part of HCI International 2009 - San Diego, CA, United States Duration: Jul 19 2009 → Jul 24 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5638 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th International Conference on Foundations of Augmented Cognition, FAC 2009, Held as Part of HCI International 2009
Country/Territory	United States
City	San Diego, CA
Period	7/19/09 → 7/24/09

Keywords

Combinatorial Hb states
Diffuse optical tomography
Fast signal
NIRS technology
Neuroactivation
Visual stimulus
fNIRS imaging

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-02812-0_80

Cite this

Barbour, R. L., Graber, H. L., Xu, Y., Pei, Y., Wylie, G. R., Voelbel, G. T., DeLuca, J., & Medvedev, A. V. (2009). Systems and strategies for accessing the information content of fNIRS imaging in support of noninvasive BCI applications. In Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience - 5th International Conference, FAC 2009, Held as Part of HCI International 2009, Proceedings (pp. 709-718). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5638 LNAI). https://doi.org/10.1007/978-3-642-02812-0_80

Systems and strategies for accessing the information content of fNIRS imaging in support of noninvasive BCI applications. / Barbour, Randall L.; Graber, Harry L.; Xu, Yong et al.
Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience - 5th International Conference, FAC 2009, Held as Part of HCI International 2009, Proceedings. 2009. p. 709-718 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5638 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Barbour, RL, Graber, HL, Xu, Y, Pei, Y, Wylie, GR, Voelbel, GT, DeLuca, J & Medvedev, AV 2009, Systems and strategies for accessing the information content of fNIRS imaging in support of noninvasive BCI applications. in Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience - 5th International Conference, FAC 2009, Held as Part of HCI International 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5638 LNAI, pp. 709-718, 5th International Conference on Foundations of Augmented Cognition, FAC 2009, Held as Part of HCI International 2009, San Diego, CA, United States, 7/19/09. https://doi.org/10.1007/978-3-642-02812-0_80

Barbour RL, Graber HL, Xu Y, Pei Y, Wylie GR, Voelbel GT et al. Systems and strategies for accessing the information content of fNIRS imaging in support of noninvasive BCI applications. In Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience - 5th International Conference, FAC 2009, Held as Part of HCI International 2009, Proceedings. 2009. p. 709-718. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-02812-0_80

Barbour, Randall L. ; Graber, Harry L. ; Xu, Yong et al. / Systems and strategies for accessing the information content of fNIRS imaging in support of noninvasive BCI applications. Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience - 5th International Conference, FAC 2009, Held as Part of HCI International 2009, Proceedings. 2009. pp. 709-718 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Systems and strategies for accessing the information content of fNIRS imaging in support of noninvasive BCI applications

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