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Instant classification for the spatially-coded BCI
The spatially-coded SSVEP BCI exploits changes in the topography of the steady-state visual evoked response to visual flicker stimulation in the extrafoveal field of view. In contrast to frequency-coded SSVEP BCIs, the operator does not gaze into any flickering lights; therefore, this paradigm can r...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049359/ https://www.ncbi.nlm.nih.gov/pubmed/35482705 http://dx.doi.org/10.1371/journal.pone.0267548 |
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author | Maÿe, Alexander Rauterberg, Raika Engel, Andreas K. |
author_facet | Maÿe, Alexander Rauterberg, Raika Engel, Andreas K. |
author_sort | Maÿe, Alexander |
collection | PubMed |
description | The spatially-coded SSVEP BCI exploits changes in the topography of the steady-state visual evoked response to visual flicker stimulation in the extrafoveal field of view. In contrast to frequency-coded SSVEP BCIs, the operator does not gaze into any flickering lights; therefore, this paradigm can reduce visual fatigue. Other advantages include high classification accuracies and a simplified stimulation setup. Previous studies of the paradigm used stimulation intervals of a fixed duration. For frequency-coded SSVEP BCIs, it has been shown that dynamically adjusting the trial duration can increase the system’s information transfer rate (ITR). We therefore investigated whether a similar increase could be achieved for spatially-coded BCIs by applying dynamic stopping methods. To this end we introduced a new stopping criterion which combines the likelihood of the classification result and its stability across larger data windows. Whereas the BCI achieved an average ITR of 28.4±6.4 bits/min with fixed intervals, dynamic intervals increased the performance to 81.1±44.4 bits/min. Users were able to maintain performance up to 60 minutes of continuous operation. We suggest that the dynamic response time might have worked as a kind of temporal feedback which allowed operators to optimize their brain signals and compensate fatigue. |
format | Online Article Text |
id | pubmed-9049359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90493592022-04-29 Instant classification for the spatially-coded BCI Maÿe, Alexander Rauterberg, Raika Engel, Andreas K. PLoS One Research Article The spatially-coded SSVEP BCI exploits changes in the topography of the steady-state visual evoked response to visual flicker stimulation in the extrafoveal field of view. In contrast to frequency-coded SSVEP BCIs, the operator does not gaze into any flickering lights; therefore, this paradigm can reduce visual fatigue. Other advantages include high classification accuracies and a simplified stimulation setup. Previous studies of the paradigm used stimulation intervals of a fixed duration. For frequency-coded SSVEP BCIs, it has been shown that dynamically adjusting the trial duration can increase the system’s information transfer rate (ITR). We therefore investigated whether a similar increase could be achieved for spatially-coded BCIs by applying dynamic stopping methods. To this end we introduced a new stopping criterion which combines the likelihood of the classification result and its stability across larger data windows. Whereas the BCI achieved an average ITR of 28.4±6.4 bits/min with fixed intervals, dynamic intervals increased the performance to 81.1±44.4 bits/min. Users were able to maintain performance up to 60 minutes of continuous operation. We suggest that the dynamic response time might have worked as a kind of temporal feedback which allowed operators to optimize their brain signals and compensate fatigue. Public Library of Science 2022-04-28 /pmc/articles/PMC9049359/ /pubmed/35482705 http://dx.doi.org/10.1371/journal.pone.0267548 Text en © 2022 Maÿe et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Maÿe, Alexander Rauterberg, Raika Engel, Andreas K. Instant classification for the spatially-coded BCI |
title | Instant classification for the spatially-coded BCI |
title_full | Instant classification for the spatially-coded BCI |
title_fullStr | Instant classification for the spatially-coded BCI |
title_full_unstemmed | Instant classification for the spatially-coded BCI |
title_short | Instant classification for the spatially-coded BCI |
title_sort | instant classification for the spatially-coded bci |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049359/ https://www.ncbi.nlm.nih.gov/pubmed/35482705 http://dx.doi.org/10.1371/journal.pone.0267548 |
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