文章摘要
傅俊英,剧伟伟,齐 静,毛军文.脑机接口领域的研发态势分析[J].全球科技经济瞭望,2022,37(7):59~68
脑机接口领域的研发态势分析
Analysis of the Development Trend in the Field of Brain Computer Interface
投稿时间:2022-03-10  
DOI:10.3772/j.issn.1009-8623.2022.07.009
中文关键词: 脑机接口;论文;专利;研发态势分析
英文关键词: Brain Computer Interface; paper; patent; analysis of the development trend
基金项目:上海市科技计划项目“全球前沿技术发展趋势研究”(20692112800)。
作者单位
傅俊英  
剧伟伟  
齐 静  
毛军文  
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中文摘要:
      脑机接口作为脑科学和类脑智能研究的重要方向受到广泛关注。本文基于 2010-2021年科学引文索引平台(SCIE)的脑机接口相关论文数据,以及德温特创新平台(DI)收录的相关专利数据,从脑机接口论文和专利的数量、国家分布、顶尖机构以及研究热点等角度,分析了脑机接口领域的研究发展趋势、研发实力分布以及研究热点演变等。结果表明,近十余年来,全球脑机接口相关论文发表和专利申请数量均呈现逐年增长趋势,研究热点也有了明显的变化,目前以卷积神经网络为代表的算法研究较多。中国的脑机接口论文和专利数量居于世界前列,但是相关论文的学术影响力较低,而专利质量亦有待提高,并应提升企业在研发中的参与程度。
英文摘要:
      Brain Computer Interface (BCI) receives the extensive concern as one of the most important research topics of brain science and brain-inspired intelligence. BCI research tendency, distribution of research ability, and evolution of research hotspots were analyzed from different aspects including numbers of BCI papers and patents, distribution of countries and top institutions, as well as research hotspots based on the papers retrieved in the SCIE database, and patents collected in the DI database from 2010 and 2021. The results showed the increasing trend of the numbers of BCI papers as well as BCI patents year by year. Hotspots varied in recent decade, and studies on algorithm that was represented by Convolutional Neural Networks (CNN) at present proliferated. Numbers of papers published by China’s authors and patents applied by China’s applicants took places in the front ranks of the world, while it’s scientific impact of papers was rather low, and it’s patent quality as well as enterprises’ participation in R&D was needed to improve.
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