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.

Additional Metadata
Keywords Brain imaging, Functional near-infrared spectroscopy, Human computer interaction, Mental workload
Persistent URL dx.doi.org/10.1117/12.807737
Conference Optical Tomography and Spectroscopy of Tissue VIII
Citation
Sassaroli, A. (A.), Zheng, F. (F.), Coutts, M. (M.), Hirshfield, L.H. (L. H.), Girouard, A, Solovey, E.T. (E. T.), … Fantini, S. (S.). (2009). Application of near-infrared spectroscopy for discrimination of mental workloads. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. doi:10.1117/12.807737