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Brain-Computer Interface: Advancement and Challenges

Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that cover...

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Detalles Bibliográficos
Autores principales: Mridha, M. F., Das, Sujoy Chandra, Kabir, Muhammad Mohsin, Lima, Aklima Akter, Islam, Md. Rashedul, Watanobe, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433803/
https://www.ncbi.nlm.nih.gov/pubmed/34502636
http://dx.doi.org/10.3390/s21175746
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author Mridha, M. F.
Das, Sujoy Chandra
Kabir, Muhammad Mohsin
Lima, Aklima Akter
Islam, Md. Rashedul
Watanobe, Yutaka
author_facet Mridha, M. F.
Das, Sujoy Chandra
Kabir, Muhammad Mohsin
Lima, Aklima Akter
Islam, Md. Rashedul
Watanobe, Yutaka
author_sort Mridha, M. F.
collection PubMed
description Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that covers the BCI domain completely has been conducted yet. Hence, a comprehensive overview of the BCI domain is presented in this study. This study covers several applications of BCI and upholds the significance of this domain. Then, each element of BCI systems, including techniques, datasets, feature extraction methods, evaluation measurement matrices, existing BCI algorithms, and classifiers, are explained concisely. In addition, a brief overview of the technologies or hardware, mostly sensors used in BCI, is appended. Finally, the paper investigates several unsolved challenges of the BCI and explains them with possible solutions.
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spelling pubmed-84338032021-09-12 Brain-Computer Interface: Advancement and Challenges Mridha, M. F. Das, Sujoy Chandra Kabir, Muhammad Mohsin Lima, Aklima Akter Islam, Md. Rashedul Watanobe, Yutaka Sensors (Basel) Review Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that covers the BCI domain completely has been conducted yet. Hence, a comprehensive overview of the BCI domain is presented in this study. This study covers several applications of BCI and upholds the significance of this domain. Then, each element of BCI systems, including techniques, datasets, feature extraction methods, evaluation measurement matrices, existing BCI algorithms, and classifiers, are explained concisely. In addition, a brief overview of the technologies or hardware, mostly sensors used in BCI, is appended. Finally, the paper investigates several unsolved challenges of the BCI and explains them with possible solutions. MDPI 2021-08-26 /pmc/articles/PMC8433803/ /pubmed/34502636 http://dx.doi.org/10.3390/s21175746 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
Mridha, M. F.
Das, Sujoy Chandra
Kabir, Muhammad Mohsin
Lima, Aklima Akter
Islam, Md. Rashedul
Watanobe, Yutaka
Brain-Computer Interface: Advancement and Challenges
title Brain-Computer Interface: Advancement and Challenges
title_full Brain-Computer Interface: Advancement and Challenges
title_fullStr Brain-Computer Interface: Advancement and Challenges
title_full_unstemmed Brain-Computer Interface: Advancement and Challenges
title_short Brain-Computer Interface: Advancement and Challenges
title_sort brain-computer interface: advancement and challenges
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433803/
https://www.ncbi.nlm.nih.gov/pubmed/34502636
http://dx.doi.org/10.3390/s21175746
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