Global research on artificial intelligence-enhanced human electroencephalogram analysis

Chen, Xieling and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Wang, Fu Lee and Xie, Haoran (2021) Global research on artificial intelligence-enhanced human electroencephalogram analysis. Neural Computing and Applications. pp. 1-39. ISSN 0941-0643


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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -)
Date Deposited: 29 Jan 2021 04:31
Last Modified: 29 Jan 2021 04:31
Uncontrolled Keywords: Artificial intelligence technologies; Human brain; Electroencephalogram; Bibliometrics; Research topics; Visualization
Fields of Research (2008): 11 Medical and Health Sciences > 1103 Clinical Sciences > 110319 Psychiatry (incl. Psychotherapy)
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified
06 Biological Sciences > 0601 Biochemistry and Cell Biology > 060102 Bioinformatics
Fields of Research (2020): 42 HEALTH SCIENCES > 4203 Health services and systems > 420308 Health informatics and information systems
46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified
46 INFORMATION AND COMPUTING SCIENCES > 4608 Human-centred computing > 460899 Human-centred computing not elsewhere classified
Socio-Economic Objectives (2008): B Economic Development > 89 Information and Communication Services > 8903 Information Services > 890301 Electronic Information Storage and Retrieval Services
E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
C Society > 92 Health > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920111 Nervous System and Disorders
Socio-Economic Objectives (2020): 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280115 Expanding knowledge in the information and computing sciences
20 HEALTH > 2001 Clinical health > 200101 Diagnosis of human diseases and conditions
22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence
Identification Number or DOI: https://doi.org/10.1007/s00521-020-05588-x
URI: http://eprints.usq.edu.au/id/eprint/40972

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