Abstract
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.
Original language | English |
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Article number | 8995646 |
Pages (from-to) | 101-115 |
Number of pages | 15 |
Journal | IEEE Transactions on Human-Machine Systems |
Volume | 50 |
Issue number | 2 |
Early online date | 12 Feb 2020 |
DOIs | |
Publication status | Published - Apr 2020 |
Keywords
- bibliometric analysis
- Brain-computer interface
- Platforms
- Signal processing
- Software Architecture
- n/a OA procedure