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

doi:10.1117/12.807737

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 +

Proceedings Volume 7174, Optical Tomography and Spectroscopy of Tissue VIII; 71741H (2009) https://doi.org/10.1117/12.807737
Event: SPIE BiOS, 2009, San Jose, California, United States

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.

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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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