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CORRECTION article

Front. Hum. Neurosci., 15 February 2022
Sec. Brain-Computer Interfaces
Volume 16 - 2022 | https://doi.org/10.3389/fnhum.2022.861120

Corrigendum: Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals

This article is a correction to:

  1. Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals

    1. Read original article
\nSelina C. Wriessnegger,Selina C. Wriessnegger1,2Philipp Raggam,Philipp Raggam3,4Kyriaki KostoglouKyriaki Kostoglou1Gernot R. Müller-Putz, Gernot R. Müller-Putz1,2*
  • 1Institute of Neural Engineering, Graz University of Technology, Graz, Austria
  • 2BioTechMed-Graz, Graz, Austria
  • 3Research Group Neuroinformatics, Faculty of Computer Science, University of Vienna, Vienna, Austria
  • 4Department of Neurology and Stroke, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany

A Corrigendum on
Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals

by Wriessnegger, S. C., Raggam, P., Kostoglou, K., and Müller-Putz, G. R. (2021). Front. Hum. Neurosci. 15:746081. doi: 10.3389/fnhum.2021.746081

In the original article, there was a mistake in Figure 7 as published. Runs and tasks were mistakenly swapped. The corrected Figure 7 appears below.

FIGURE 7
www.frontiersin.org

Figure 7. Boxplots depicting (A) performance accuracies and (B) response times over all participants for each run and each task condition.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: EEG, mental workload, mental fatigue, band power features, Riemannian geometry

Citation: Wriessnegger SC, Raggam P, Kostoglou K and Müller-Putz GR (2022) Corrigendum: Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals. Front. Hum. Neurosci. 16:861120. doi: 10.3389/fnhum.2022.861120

Received: 24 January 2022; Accepted: 26 January 2022;
Published: 15 February 2022.

Edited and reviewed by: Chang-Hwan Im, Hanyang University, South Korea

Copyright © 2022 Wriessnegger, Raggam, Kostoglou and Müller-Putz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gernot R. Müller-Putz, gernot.mueller@tugraz.at

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.