A brain-computer interface for mental arithmetic task from single-trial near-infrared spectroscopy brain signals

Kai Keng ANG, Cuntai GUAN, Kerry LEE, Jie Qi LEE, Shoko NIOKA, Britton CHANCE

Research output: Chapter in Book/Report/Conference proceedingChapter

17 Citations (Scopus)

Abstract

Near-infrared spectroscopy (NIRS) enables non-invasive recording of cortical hemoglobin oxygenation in human subjects through the intact skull using light in the near-infrared range to determine. Recently, NIRS-based brain-computer interfaces are introduced for discriminating left and right-hand motor imagery. A neuroimaging study has also revealed event-related hemodynamic responses associated with the performance of mental arithmetic tasks. This paper proposes a novel BCI for detecting changes resulting from increases in the magnitude of operands used in a mental arithmetic task, using data from single-trial NIRS brain signals. We measured hemoglobin responses from 20 healthy subjects as they solved mental arithmetic problems with three difficulty levels. Accuracy in recognizing one difficulty level from another is then presented using 5×5-fold cross-validations on the data collected. The results yielded an overall average accuracy of 71.2%, thus demonstrating potential in the proposed NIRS-based BCI in recognizing difficulty of problems encountered by mental arithmetic problem solvers. Copyright © 2010 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
Original languageEnglish
Title of host publicationProceedings of the 2010 20th International Conference on Pattern Recognition
Place of PublicationIstanbul
PublisherIEEE
Pages3764-3767
ISBN (Electronic)9781424475414
ISBN (Print)9780769541099 , 9781424475421
DOIs
Publication statusPublished - 2010

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Brain computer interface
Near infrared spectroscopy
Brain
Hemoglobin
Neuroimaging
Oxygenation
Hemodynamics
Electronic equipment
Infrared radiation
Engineers

Bibliographical note

Ang, K. K., Guan, C., Lee, K., Lee, J. Q., Nioka, S., & Chance, B. (2010). A brain-computer interface for mental arithmetic task from single-trial near-infrared spectroscopy brain signals. In Proceedings of the 2010 20th International Conference on Pattern Recognition (pp. 3764-3767). Istanbul: IEEE.

Keywords

  • Optical filters
  • Feature extraction
  • Spectroscopy
  • Optical attenuators
  • Hemodynamics
  • Brain computer interfaces
  • Optical detectors