脑-机接口
领域(数学分析)
计算机科学
接口(物质)
多学科方法
人机交互
特征提取
人工智能
机器学习
脑电图
神经科学
最大气泡压力法
数学分析
社会学
生物
气泡
社会科学
并行计算
数学
作者
M. F. Mridha,Sujoy Chandra Das,Md. Mohsin Kabir,Aklima Akter Lima,Md. Rashedul Islam,Yutaka Watanobe
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2021-08-26
卷期号:21 (17): 5746-5746
被引量:249
摘要
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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