Stella Zotou, George Kostopoulos and Theodore Antonakopoulos:

Real-time Spindles Detection for Acoustic Neurofeedback

International Conference on “Brain Function Assessment in Learning” (BFAL-2017), Patras, Greece, September 24-25, 2017.

Abstract: Real-time neurofeedback plays an increasing role in today’s clinical and basic neuroscience research. In this work, we present a real-time sleep EEG spindles detection algorithm fast enough to be used for real time acoustic feedback stimulation. We further highlight the architecture of a system that implements the algorithm and its experimental evaluation. This system can handle EEG data acquired by various means (i.e. conventional EEG systems, wireless sensors) and a response time of a few msecs has been achieved. The presented algorithm is dynamically adaptive and has accuracy similar to other well-known non real-time algorithms. Comparison and evaluation was performed using EEG data from an open database.

If you need additional information concerning this paper, please contact either one of the authors or send an e-mail to: comes-sup@ece.upatras.gr