Global research on artificial intelligence-enhanced human electroencephalogram analysis
Article
Article Title | Global research on artificial intelligence-enhanced human electroencephalogram analysis |
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ERA Journal ID | 18089 |
Article Category | Article |
Authors | Chen, Xieling (Author), Tao, Xiaohui (Author), Wang, Fu Lee (Author) and Xie, Haoran (Author) |
Journal Title | Neural Computing and Applications |
Journal Citation | 34 (14), pp. 11295-11333 |
Number of Pages | 39 |
Year | 2022 |
Publisher | Springer |
Place of Publication | United Kingdom |
ISSN | 0941-0643 |
1433-3058 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00521-020-05588-x |
Web Address (URL) | https://link.springer.com/article/10.1007/s00521-020-05588-x |
Abstract | The application of artificial intelligence (AI) technologies in assisting human electroencephalogram (EEG) analysis has become an active scientific field. This study aims to present a comprehensive review of the research field of AI-enhanced human EEG analysis. Using bibliometrics and topic modeling, research articles concerning AI-enhanced human EEG analysis collected from the Web of Science database during the period 2009–2018 were analyzed. After examining 2053 research articles published around the world, it was found that the annual number of articles had significantly grown from 78 to 468, with the USA and China being the most influential and prolific. The results of the keyword analysis showed that “electroencephalogram,” “brain–computer interface,” “classification,” “support vector machine,” “electroencephalography,” and “signal” were the most frequently used. The results of topic modeling and evolution analyses highlighted several important issues, including epileptic seizure detection, brain–machine interface, EEG classification, mental disorders, emotion, and alcoholism and anesthesia. The findings suggest that such visualization and analysis of the research articles could provide a comprehensive overview of the field for communities of practice and inquiry worldwide. |
Keywords | Artificial intelligence technologies; Human brain; Electroencephalogram; Bibliometrics; Research topics; Visualization |
ANZSRC Field of Research 2020 | 420308. Health informatics and information systems |
460299. Artificial intelligence not elsewhere classified | |
460899. Human-centred computing not elsewhere classified | |
Byline Affiliations | Education University of Hong Kong, China |
School of Sciences | |
Hong Kong Metropolitan University, China | |
Lingnan University of Hong Kong, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6287/global-research-on-artificial-intelligence-enhanced-human-electroencephalogram-analysis
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