Paper
23 February 2009 Application of near-infrared spectroscopy for discrimination of mental workloads
A. Sassaroli, F. Zheng, M. Coutts, L. H. Hirshfield, A. Girouard, E. T. Solovey, R. J. K. Jacob, Y. Tong, B. deB. Frederick, S. Fantini
Author Affiliations +
Abstract
We show the potential of functional near-infrared spectroscopy for the discrimination of mental workloads during a cognitive task with two different levels of difficulty. Standard data analysis based on filtering and folding average procedures were carried out to locate those source-detector pairs sensitive to the activated cortical regions. On these channels we applied two classification algorithms for the discrimination of mental workloads. Both algorithms showed a high percentage of successful classifications (>80%) on three over a total of four subjects where brain activation was detected. These results are comparable to standard scores found in the field of electroencephalography.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Sassaroli, F. Zheng, M. Coutts, L. H. Hirshfield, A. Girouard, E. T. Solovey, R. J. K. Jacob, Y. Tong, B. deB. Frederick, and S. Fantini "Application of near-infrared spectroscopy for discrimination of mental workloads", Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 71741H (23 February 2009); https://doi.org/10.1117/12.807737
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Cited by 3 scholarly publications.
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KEYWORDS
Electroencephalography

Near infrared spectroscopy

Heart

Brain activation

Human-computer interaction

Sensors

Optical fibers

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