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Embedded Brain Computer Interface: State-of-the-Art in Research

There is a wide area of application that uses cerebral activity to restore capabilities for people with severe motor disabilities, and actually the number of such systems keeps growing. Most of the current BCI systems are based on a personal computer. However, there is a tremendous interest in the i...

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Detalles Bibliográficos
Autores principales: Belwafi, Kais, Gannouni, Sofien, Aboalsamh, Hatim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271671/
https://www.ncbi.nlm.nih.gov/pubmed/34201788
http://dx.doi.org/10.3390/s21134293
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author Belwafi, Kais
Gannouni, Sofien
Aboalsamh, Hatim
author_facet Belwafi, Kais
Gannouni, Sofien
Aboalsamh, Hatim
author_sort Belwafi, Kais
collection PubMed
description There is a wide area of application that uses cerebral activity to restore capabilities for people with severe motor disabilities, and actually the number of such systems keeps growing. Most of the current BCI systems are based on a personal computer. However, there is a tremendous interest in the implementation of BCIs on a portable platform, which has a small size, faster to load, much lower price, lower resources, and lower power consumption than those for full PCs. Depending on the complexity of the signal processing algorithms, it may be more suitable to work with slow processors because there is no need to allow excess capacity of more demanding tasks. So, in this review, we provide an overview of the BCIs development and the current available technology before discussing experimental studies of BCIs.
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spelling pubmed-82716712021-07-11 Embedded Brain Computer Interface: State-of-the-Art in Research Belwafi, Kais Gannouni, Sofien Aboalsamh, Hatim Sensors (Basel) Review There is a wide area of application that uses cerebral activity to restore capabilities for people with severe motor disabilities, and actually the number of such systems keeps growing. Most of the current BCI systems are based on a personal computer. However, there is a tremendous interest in the implementation of BCIs on a portable platform, which has a small size, faster to load, much lower price, lower resources, and lower power consumption than those for full PCs. Depending on the complexity of the signal processing algorithms, it may be more suitable to work with slow processors because there is no need to allow excess capacity of more demanding tasks. So, in this review, we provide an overview of the BCIs development and the current available technology before discussing experimental studies of BCIs. MDPI 2021-06-23 /pmc/articles/PMC8271671/ /pubmed/34201788 http://dx.doi.org/10.3390/s21134293 Text en © 2021 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
Belwafi, Kais
Gannouni, Sofien
Aboalsamh, Hatim
Embedded Brain Computer Interface: State-of-the-Art in Research
title Embedded Brain Computer Interface: State-of-the-Art in Research
title_full Embedded Brain Computer Interface: State-of-the-Art in Research
title_fullStr Embedded Brain Computer Interface: State-of-the-Art in Research
title_full_unstemmed Embedded Brain Computer Interface: State-of-the-Art in Research
title_short Embedded Brain Computer Interface: State-of-the-Art in Research
title_sort embedded brain computer interface: state-of-the-art in research
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271671/
https://www.ncbi.nlm.nih.gov/pubmed/34201788
http://dx.doi.org/10.3390/s21134293
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