基于专利信息的脑电图技术成熟度及技术网络分析  

Patent information-based analysis of EEG technology maturity and network analysis of EEG technology

作　　者：赵润州[1] 徐卸古[1] 

机构地区：[1]军事医学科学院科技部,北京100850

出　　处：《中华医学图书情报杂志》2016年第4期7-12,共6页Chinese Journal of Medical Library and Information Science

基　　金：全军军事类研究生资助课题(2014JY398)

摘　　要：以德温特专利索引数据库收录的脑电图技术主题专利数据为研究样本,基于技术成熟度理论,绘制出技术S曲线模型,对脑电图技术的生命周期、发展进程和未来趋势进行了研究。同时通过专利德温特分类代码的共类网络,进行聚类分析和战略坐标分析,揭示了不同技术领域的关联关系和演变趋势。利用专利德温特手工代码的共词网络进行频次和中心性分析,以识别EEG技术的研究布局和热点研究主题。The life cycle, evolution and trend of EEG technology were studied by plotting its S curve model ac-cording to its maturity theory with Derwent Innovation Index Database-covered EEG technology patent data as a sample. Cluster analysis and strategic coordinate analysis according to the co-classification network of Derwent pa-tent classification code showed the linkage relationship and evolution trend in different fields of EEG technology. The frequency and centrality of EEG technology were analyzed according to the co-word network of Derwent manual code in order to identify the distribution and hotspots of research on EEG technology.

关 键 词：脑电图 技术成熟度 S曲线 技术网络 共类网络 聚类分析 战略坐标分析 共词网络 中心性分析 

分 类 号：G252.8[文化科学—图书馆学] R741.044[医药卫生—神经病学与精神病学]