Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1785073417703129088 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10346878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT peksajanis stateoftheartonbraincomputerinterfacetechnology AT mamchurdmytro stateoftheartonbraincomputerinterfacetechnology |