Conference proceeding
Automatic recognition of hemodynamic responses to rare stimuli using functional Near-Infrared Spectroscopy
11TH MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2007, VOLS 1 AND 2, v 16(1-2), pp 473-476
01 Jan 2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Attention domain is of crucial importance for goal-directed behaviors and it has been widely studied through response analysis to rare stimuli using electroencephalography, (EEC). More recent researches have explored the brain circuitry of attention by applying neuroimaging techniques, such as functional magnetic resonance. This paper investigates for the first time the feasibility of automatic recognition of responses to rare stimuli by using functional near-infrared spectroscopy (fNIRS). fNIRS is a portable brain imaging modality that optically measures the cortical hemodynamic activation and may prove useful in monitoring localized activity changes in frontal cortex related to attention processes. In this preliminary study, Fisher Linear Discriminant (FLD) is used to discriminate between average responses to rare task-relevant stimuli and responses to task-irrelevant stimuli.
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Details
- Title
- Automatic recognition of hemodynamic responses to rare stimuli using functional Near-Infrared Spectroscopy
- Creators
- M. Butti - Polytechnic University of MilanA. C. Merzagora - Drexel UniversityM. Izzetoglu - Drexel UniversityS. Bunce - Drexel UniversityA. M. Bianchi - Polytechnic University of MilanS. Cerutti - Polytechnic University of MilanB. Onaral - Drexel University
- Contributors
- T Jarm (Editor)P Kramar (Editor)A Zupanic (Editor)
- Publication Details
- 11TH MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2007, VOLS 1 AND 2, v 16(1-2), pp 473-476
- Series
- IFMBE Proceedings
- Publisher
- Springer Nature
- Number of pages
- 2
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000261088900121
- Scopus ID
- 2-s2.0-85007106925
- Other Identifier
- 991019170467504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical