Brain-Computer Interface: Advancement and Challenges release_gt5v46mr5nhjvptosklmvq2ria

by Dr. M. Firoz Mridha, Sujoy Chandra Das, Muhammad Mohsin Kabir, Aklima Akter Lima, Rashedul Islam, Yutaka Watanobe

Published in Sensors.

2021   Volume 21, Issue 17

Abstract

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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Type  article-journal
Stage   published
Date   2021-08-26
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DOI  10.3390/s21175746
PubMed  34502636
PMC  PMC8433803
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