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识别脑机接口研究中的主题。

Identifying Thematics in a Brain-Computer Interface Research.

机构信息

Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha'il, Ha'il 81481, Saudi Arabia.

出版信息

Comput Intell Neurosci. 2023 Jan 4;2023:2793211. doi: 10.1155/2023/2793211. eCollection 2023.

Abstract

This umbrella review is motivated to understand the shift in research themes on brain-computer interfacing (BCI) and it determined that a shift away from themes that focus on medical advancement and system development to applications that included education, marketing, gaming, safety, and security has occurred. The background of this review examined aspects of BCI categorisation, neuroimaging methods, brain control signal classification, applications, and ethics. The specific area of BCI software and hardware development was not examined. A search using One Search was undertaken and 92 BCI reviews were selected for inclusion. Publication demographics indicate the average number of authors on review papers considered was 4.2 ± 1.8. The results also indicate a rapid increase in the number of BCI reviews from 2003, with only three reviews before that period, two in 1972, and one in 1996. While BCI authors were predominantly Euro-American in early reviews, this shifted to a more global authorship, which China dominated by 2020-2022. The review revealed six disciplines associated with BCI systems: life sciences and biomedicine ( = 42), neurosciences and neurology ( = 35), and rehabilitation ( = 20); (2) the second domain centred on the theme of functionality: computer science ( = 20), engineering ( = 28) and technology ( = 38). There was a thematic shift from understanding brain function and modes of interfacing BCI systems to more applied research novel areas of research-identified surround artificial intelligence, including machine learning, pre-processing, and deep learning. As BCI systems become more invasive in the lives of "normal" individuals, it is expected that there will be a refocus and thematic shift towards increased research into ethical issues and the need for legal oversight in BCI application.

摘要

这篇伞状综述旨在了解脑机接口(BCI)研究主题的转变,并确定已经从关注医学进步和系统开发的主题转向包括教育、营销、游戏、安全和安保的应用。该综述的背景考察了 BCI 分类、神经影像学方法、脑控制信号分类、应用和伦理学的各个方面。没有检查 BCI 软件和硬件开发的具体领域。使用 One Search 进行了搜索,并选择了 92 篇 BCI 综述进行纳入。出版物人口统计学数据表明,考虑的综述论文的平均作者数为 4.2±1.8。结果还表明,BCI 综述的数量从 2003 年开始迅速增加,在此之前只有三篇综述,其中两篇发表于 1972 年,一篇发表于 1996 年。虽然早期的 BCI 作者主要是欧美裔,但这一情况逐渐转变为更具全球性的作者群体,其中中国在 2020-2022 年占据主导地位。综述揭示了与 BCI 系统相关的六个学科:生命科学和生物医学( = 42)、神经科学和神经病学( = 35)和康复( = 20);(2)第二个主题集中在功能主题上:计算机科学( = 20)、工程学( = 28)和技术( = 38)。研究主题从理解大脑功能和 BCI 系统的接口模式转变为更具创新性的应用研究领域,包括人工智能,如机器学习、预处理和深度学习。随着 BCI 系统在“正常”个体的生活中变得更加侵入性,预计将重新关注并将主题转向对 BCI 应用中伦理问题和法律监督需求的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08e0/9833923/54e1691e23fe/CIN2023-2793211.001.jpg

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