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, Amerika Birleşik Devletleri, 20 - 23 Nisan 2020, cilt.Part F176-BRAIN-2020, sa.1 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: Part F176-BRAIN-2020
  • Doi Numarası: 10.1364/brain.2020.bm4c.2
  • Basıldığı Şehir: Washington
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet

Özet

© 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.