Machine Learning Based Prediction of Motor Imagery and Motor Execution Tasks from Functional Near Infrared Spectroscopy Signals’


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Erdoğan S. B.

2020 OSA Biophotonics Congress: Biomedical Optics (BioMed 2020), Florida, United States Of America, 20 April - 23 June 2020, vol.1, no.1, pp.1-3

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • Doi Number: 10.1364/brain.2020.bm4c.2
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.1-3

Abstract

This study explores the utility of fNIRS signals for BCI applications. Hemodynamic features extracted from fNIRS measurements during various motor execution and imagery tasks are used for tertiary classification with high accuracy and statistical significance.