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Spatio-temporal analysis of error-related brain activity in active and passive brain–computer interfaces
Electroencephalography (EEG)-based brain–computer interface (BCI) systems infer brain signals recorded via EEG without using common neuromuscular pathways. User brain response to BCI error is a contributor to non-stationarity of the EEG signal and poses challenges in developing reliable active BCI c...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577581/ https://www.ncbi.nlm.nih.gov/pubmed/33094110 http://dx.doi.org/10.1080/2326263x.2019.1671040 |
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author | Mousavi, M. de Sa, V. R. |
author_facet | Mousavi, M. de Sa, V. R. |
author_sort | Mousavi, M. |
collection | PubMed |
description | Electroencephalography (EEG)-based brain–computer interface (BCI) systems infer brain signals recorded via EEG without using common neuromuscular pathways. User brain response to BCI error is a contributor to non-stationarity of the EEG signal and poses challenges in developing reliable active BCI control. Many passive BCI implementations, on the other hand, have the detection of error-related brain activity as their primary goal. Therefore, reliable detection of this signal is crucial in both active and passive BCIs. In this work, we propose CREST: a novel covariance-based method that uses Riemannian and Euclidean geometry and combines spatial and temporal aspects of the feedback-related brain activity in response to BCI error. We evaluate our proposed method with two datasets: an active BCI for 1-D cursor control using motor imagery and a passive BCI for 2-D cursor control. We show significant improvement across participants in both datasets compared to existing methods. |
format | Online Article Text |
id | pubmed-7577581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-75775812020-10-21 Spatio-temporal analysis of error-related brain activity in active and passive brain–computer interfaces Mousavi, M. de Sa, V. R. Brain Comput Interfaces (Abingdon) Article Electroencephalography (EEG)-based brain–computer interface (BCI) systems infer brain signals recorded via EEG without using common neuromuscular pathways. User brain response to BCI error is a contributor to non-stationarity of the EEG signal and poses challenges in developing reliable active BCI control. Many passive BCI implementations, on the other hand, have the detection of error-related brain activity as their primary goal. Therefore, reliable detection of this signal is crucial in both active and passive BCIs. In this work, we propose CREST: a novel covariance-based method that uses Riemannian and Euclidean geometry and combines spatial and temporal aspects of the feedback-related brain activity in response to BCI error. We evaluate our proposed method with two datasets: an active BCI for 1-D cursor control using motor imagery and a passive BCI for 2-D cursor control. We show significant improvement across participants in both datasets compared to existing methods. 2019-11-19 2019 /pmc/articles/PMC7577581/ /pubmed/33094110 http://dx.doi.org/10.1080/2326263x.2019.1671040 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-ncnd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Article Mousavi, M. de Sa, V. R. Spatio-temporal analysis of error-related brain activity in active and passive brain–computer interfaces |
title | Spatio-temporal analysis of error-related brain activity in active and passive brain–computer interfaces |
title_full | Spatio-temporal analysis of error-related brain activity in active and passive brain–computer interfaces |
title_fullStr | Spatio-temporal analysis of error-related brain activity in active and passive brain–computer interfaces |
title_full_unstemmed | Spatio-temporal analysis of error-related brain activity in active and passive brain–computer interfaces |
title_short | Spatio-temporal analysis of error-related brain activity in active and passive brain–computer interfaces |
title_sort | spatio-temporal analysis of error-related brain activity in active and passive brain–computer interfaces |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577581/ https://www.ncbi.nlm.nih.gov/pubmed/33094110 http://dx.doi.org/10.1080/2326263x.2019.1671040 |
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