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

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.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-B9F7-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-4FA6-9
Genre: Conference Paper

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 Creators:
Zarubin, Georgy 1, Author
Gundlach, Christopher2, Author              
Nikulin, Vadim V.2, Author              
Bogdan , Martin1, Author
Affiliations:
1University of Leipzig, Germany, ou_persistent22              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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Free keywords: Closed-loop stimulation; EEG-tACS; Phase detection; Oscillations
 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

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Language(s): eng - English
 Dates: 2018-09
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.5220/0006927300130020
 Degree: -

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Title: Proceedings of the 6th International Congress on Neurotechnology, Electronics and Informatics
Source Genre: Proceedings
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Publ. Info: Seville, Spain
Pages: - Volume / Issue: 1 Sequence Number: - Start / End Page: 13 - 20 Identifier: ISBN: 978-989-758-326-1