脑电信号的自适应分段和分类存档  

Adaptive Segmentation and Classification of Eeg Signals

作　　者：李红宇[1] 刘庆江[1] 常晓娟[1] 赵薇[1] LI Hong-yu;LIU Qing-jiang;CHANG Xiao-juan;ZHAO Wei(Harbin Normal University,Harbin Heilongjiang 150025)

机构地区：[1]哈尔滨师范大学

出　　处：《数字技术与应用》2019年第10期79-80,共2页Digital Technology & Application

基　　金：黑龙江省教育厅科学技术研究项目,一种自适应脑电信号分类方法研究(12541255)

摘　　要：基于相关函数中的脑电信号基础,对其适应分段及分类存档的方法进行分析和探究,并依据相关理论内容,首次提出了有关最小差别判决法,通过相关实验,证明脑电信号的自适应分段及分类存档的方法符合设计的需要。本文以文献对比法和案例分析法,以多类运动脑信号的分析为例,对自适应分段的内容及分类存档的相关方法进行阐述。Based on the correlation function of the eeg signals, the adaptive segmentation and classification archive method are analyzed and explored, and on the basis of the related theory, the smallest difference judgment method, are proposed for the first time through the relevant experiment,proves that adaptive segmentation and classification of eeg signals archive method meets the design requirements. With the method of literature comparison and case analysis, this paper takes the analysis of various kinds of motor brain signals as an example to elaborate the content of adaptive segmentation and relevant methods of classification and archiving.

关 键 词：脑电信号 自适应分段 分类存档 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]