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Conference Paper

Real-time phase detection for EEG-based tACS closed-loop system

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Gundlach,  Christopher
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Nikulin,  Vadim V.
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Zarubin, G., Gundlach, C., Nikulin, V. V., & Bogdan, M. (2018). Real-time phase detection for EEG-based tACS closed-loop system. In Proceedings of the 6th International Congress on Neurotechnology, Electronics and Informatics (pp. 13-20). Seville, Spain. doi:10.5220/0006927300130020.


Cite as: https://hdl.handle.net/21.11116/0000-0002-B9F7-7
Abstract
In this paper, we present a robust and fast implementation of a closed loop EEG-transcranial-alternating-current-stimulation (tACS) paradigm focusing on phase coupling between the tACS signal and alpha-oscillations of the ongoing EEG signal. We provide an evaluation of three phase-prediction methods for alpha oscillations of offline EEG data and for artificially generated oscillations with different noise levels in terms of optimization time as well as accuracy of prediction. Successful functioning of the whole system with delays compensation and data corrections is demonstrated in real-time pilot measurements with humans