Machine learning based prediction of motor imagery and motor execution tasks from functional near infrared spectroscopy signals


Aslan O., Kurtoğlu K. K. , Yeşilalan K., ERDOĞAN S. B.

Optics and the Brain, BRAIN 2020, Washington, United States Of America, 20 - 23 April 2020, vol.Part F176-BRAIN-2020, no.1 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: Part F176-BRAIN-2020
  • Doi Number: 10.1364/brain.2020.bm4c.2
  • City: Washington
  • Country: United States Of America
  • Acibadem Mehmet Ali Aydinlar University Affiliated: Yes

Abstract

© OSA 2020 © 2020 The Author(s)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.