Domain adaptation for robust workload level alignment between sessions and subjects using fNIRS.

Journal: Journal of biomedical optics
Published Date: Jan 1, 2021

Abstract

SIGNIFICANCE: We demonstrated the potential of using domain adaptation on functional near-infrared spectroscopy (fNIRS) data to classify different levels of n-back tasks that involve working memory.

Authors

  • Boyang Lyu
    Tufts University, Department of Electrical and Computer Engineering, Medford, Massachusetts, United States.
  • Thao Pham
    Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
  • Giles Blaney
    Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
  • Zachary Haga
    Tufts University, Department of Computer Science, Medford, Massachusetts, United States.
  • Angelo Sassaroli
    Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
  • Sergio Fantini
    Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States.
  • Shuchin Aeron
    Department of Electrical and Computer Engineering, Tufts University, Medford, MA, United States of America.

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