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Proceedings Paper

Application of near-infrared spectroscopy for discrimination of mental workloads
Author(s): 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
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Paper 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.

Paper Details

Date Published: 24 February 2009
PDF: 8 pages
Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 71741H (24 February 2009); doi: 10.1117/12.807737
Show Author Affiliations
A. Sassaroli, Tufts Univ. (United States)
F. Zheng, Tufts Univ. (United States)
M. Coutts, Tufts Univ. (United States)
L. H. Hirshfield, Tufts Univ. (United States)
A. Girouard, Tufts Univ. (United States)
E. T. Solovey, Tufts Univ. (United States)
R. J. K. Jacob, Tufts Univ. (United States)
Y. Tong, McLean Hospital (United States)
B. deB. Frederick, McLean Hospital (United States)
S. Fantini, Tufts Univ. (United States)

Published in SPIE Proceedings Vol. 7174:
Optical Tomography and Spectroscopy of Tissue VIII
Bruce J. Tromberg; Arjun G. Yodh; Mamoru Tamura; Eva M. Sevick-Muraca; Robert R. Alfano, Editor(s)

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