2009-05-05
Application of near-infrared spectroscopy for discrimination of mental workloads
Publication
Publication
Presented at the
Optical Tomography and Spectroscopy of Tissue VIII (January 2009), San Jose, CA
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 | |
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| 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
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