Exploiting the heightened phase synchrony in patients with neuromuscular disease for the establishment of efficient motor imagery BCIs.

Journal: Journal of neuroengineering and rehabilitation
Published Date:

Abstract

BACKGROUND: Phase synchrony has extensively been studied for understanding neural coordination in health and disease. There are a few studies concerning the implications in the context of BCIs, but its potential for establishing a communication channel in patients suffering from neuromuscular disorders remains totally unexplored. We investigate, here, this possibility by estimating the time-resolved phase connectivity patterns induced during a motor imagery (MI) task and adopting a supervised learning scheme to recover the subject's intention from the streaming data.

Authors

  • Kostas Georgiadis
    AIIA lab, Informatics Department, AUTH, Thessaloniki, Greece. georgiaki@csd.auth.gr.
  • Nikos Laskaris
    AIIA lab, Informatics Department, AUTH, Thessaloniki, Greece.
  • Spiros Nikolopoulos
    Information Technologies Institute (ITI), Centre for Research & Technology Hellas, Thessaloniki-Thermi, Greece.
  • Ioannis Kompatsiaris
    Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.