Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Maÿe, Alexander, Rauterberg, Raika, Engel, Andreas K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
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
_version_ 1784696126895554560
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
work_keys_str_mv AT mayealexander instantclassificationforthespatiallycodedbci
AT rauterbergraika instantclassificationforthespatiallycodedbci
AT engelandreask instantclassificationforthespatiallycodedbci