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State-of-the-Art on Brain-Computer Interface Technology

This paper provides a comprehensive overview of the state-of-the-art in brain–computer interfaces (BCI). It begins by providing an introduction to BCIs, describing their main operation principles and most widely used platforms. The paper then examines the various components of a BCI system, such as...

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Detalles Bibliográficos
Autores principales: Peksa, Janis, Mamchur, Dmytro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346878/
https://www.ncbi.nlm.nih.gov/pubmed/37447849
http://dx.doi.org/10.3390/s23136001
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author Peksa, Janis
Mamchur, Dmytro
author_facet Peksa, Janis
Mamchur, Dmytro
author_sort Peksa, Janis
collection PubMed
description This paper provides a comprehensive overview of the state-of-the-art in brain–computer interfaces (BCI). It begins by providing an introduction to BCIs, describing their main operation principles and most widely used platforms. The paper then examines the various components of a BCI system, such as hardware, software, and signal processing algorithms. Finally, it looks at current trends in research related to BCI use for medical, educational, and other purposes, as well as potential future applications of this technology. The paper concludes by highlighting some key challenges that still need to be addressed before widespread adoption can occur. By presenting an up-to-date assessment of the state-of-the-art in BCI technology, this paper will provide valuable insight into where this field is heading in terms of progress and innovation.
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spelling pubmed-103468782023-07-15 State-of-the-Art on Brain-Computer Interface Technology Peksa, Janis Mamchur, Dmytro Sensors (Basel) Review This paper provides a comprehensive overview of the state-of-the-art in brain–computer interfaces (BCI). It begins by providing an introduction to BCIs, describing their main operation principles and most widely used platforms. The paper then examines the various components of a BCI system, such as hardware, software, and signal processing algorithms. Finally, it looks at current trends in research related to BCI use for medical, educational, and other purposes, as well as potential future applications of this technology. The paper concludes by highlighting some key challenges that still need to be addressed before widespread adoption can occur. By presenting an up-to-date assessment of the state-of-the-art in BCI technology, this paper will provide valuable insight into where this field is heading in terms of progress and innovation. MDPI 2023-06-28 /pmc/articles/PMC10346878/ /pubmed/37447849 http://dx.doi.org/10.3390/s23136001 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Peksa, Janis
Mamchur, Dmytro
State-of-the-Art on Brain-Computer Interface Technology
title State-of-the-Art on Brain-Computer Interface Technology
title_full State-of-the-Art on Brain-Computer Interface Technology
title_fullStr State-of-the-Art on Brain-Computer Interface Technology
title_full_unstemmed State-of-the-Art on Brain-Computer Interface Technology
title_short State-of-the-Art on Brain-Computer Interface Technology
title_sort state-of-the-art on brain-computer interface technology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346878/
https://www.ncbi.nlm.nih.gov/pubmed/37447849
http://dx.doi.org/10.3390/s23136001
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