Real-time Phase Detection for EEG-based tACS Closed-loop System

G. Zarubin, C. Gundlach, V. Nikulin, M. Bogdan

2018

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.

Paper Citation

in Harvard Style

Zarubin G., Gundlach C., Nikulin V. and 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 - Volume 1: NEUROTECHNIX, ISBN 978-989-758-326-1, pages 13-20. DOI: 10.5220/0006927300130020

in Bibtex Style

@conference{neurotechnix18,
author={G. Zarubin and C. Gundlach and V. Nikulin and M. Bogdan},
title={Real-time Phase Detection for EEG-based tACS Closed-loop System},
booktitle={Proceedings of the 6th International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,},
year={2018},
pages={13-20},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006927300130020},
isbn={978-989-758-326-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,
TI - Real-time Phase Detection for EEG-based tACS Closed-loop System
SN - 978-989-758-326-1
AU - Zarubin G.
AU - Gundlach C.
AU - Nikulin V.
AU - Bogdan M.
PY - 2018
SP - 13
EP - 20
DO - 10.5220/0006927300130020