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Brain-Computer Interface Software: A Review and Discussion

delete2020-04-01
delete45
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OA
AI
P
Pierce Stegman
C
Chris Crawford *
M
Marvin Andujar
A
Anton Nijholt
J
Juan E. Gilbert
DOI:10.1109/THMS.2020.2968411delete
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摘要

摘要

En 中文
Software is a critical component of brain-computer interfaces (BCIs). While BCI hardware enables the retrieval of brain signals, BCI software is required to analyze these signals, produce output, and provide feedback. Users from multiple research areas have adopted BCI software platforms to investigate various concepts. Recently, interest in web-based BCI software has also emerged. The system design and control signal techniques of state-of-the-art BCI software platforms have been previously investigated. However, there is limited literature discussing user adoption of BCI software platforms. Additionally, there is a lack of work discussing the recent emergence of web tools relevant to BCI applications. This article aims to address these gaps by presenting a bibliometric review of the state-of-the-art BCI software. Furthermore, we discuss web-based BCIs and present tools that may be used to develop future web-based BCI applications.
Keyword:
Bibliometric
brain-computer interface (BCI)
platforms
signal processing
software
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Human-Machine Systems 封面图
IEEE Transactions on Human-Machine Systems
IF:
4.4
论文数:
1.1K
被引数:
3.5K

机构

State University System of Florida 封面图
State University System of Florida
学者数:
12.8W
论文数: 10.9W
被引数: 130
University of Alabama System 封面图
University of Alabama System
学者数:
4.2W
论文数: 3.8W
被引数: 68
U
university of south florida
学者数:
1.5W
论文数: 1.2W
被引数: 9
U
university of alabama tuscaloosa
学者数:
5.2K
论文数: 4.5K
被引数: 11
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