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. De, S. Fantini

Research output: Contribution to journalConference Articlepeer-review

3 Scopus citations


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.

Original languageEnglish (US)
Article number71741H
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
StatePublished - 2009
Externally publishedYes
EventOptical Tomography and Spectroscopy of Tissue VIII - San Jose, CA, United States
Duration: Jan 25 2009Jan 27 2009


  • Brain imaging
  • Functional near-infrared spectroscopy
  • Human computer interaction
  • Mental workload

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


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