心算和想象运动二分类的近红外光谱脑机接口范式重测信度研究  

The test-retest reliability of binary classification between mental arithmetic and motor imagery in functional near-infrared spectroscopy brain computer interface

作　　者：马建爱 郑燕春[1] 王玲[1] 汪待发[1] Ma Jian＇ai;Zheng Yanchun;Wang Ling;Wang Daifa(School of Biological Science and Medical Engineering,Beihang University,Beijing 100191)

机构地区：[1]北京航空航天大学生物与医学工程学院,北京100191

出　　处：《高技术通讯》2018年第6期560-566,共7页Chinese High Technology Letters

基　　金：国家自然科学基金(61675013;31771071);国家重点研发计划(2016YFF0201002)资助项目

摘　　要：本文对心算和想象动右手这两个经典范式的二分类问题的重测信度在分类正确率、特征参数以及脑激活强度三个方面进行了研究。针对10名被试在长达一个月的时间跨度内进行了三次重复实验。提取氧合血红蛋白均值特征后,利用支持向量机进行分类。结果显示在分类正确率层面,心算和想象动右手范式的组内分类和组间分类正确率均具有较高的重测信度;接着通过组间相关系数,激活通道比和激活通道相同比指标对特征参数和脑激活强度的重测信度进行量化研究,发现其重测信度与分类正确率的重测信度高度相关。本文研究表明对于大部分被试,心算和想象动右手范式具有较高的重测信度,为后续f NIRS-BCI的实际应用提供了很好的理论支撑。In this paper,two classical paradigms,mental arithmetic and right-hand motor imagery are utilized in the f NIRS-BCI binary classification and the test-retest reliability is investigated in terms of classification accuracy,classification feature and brain activation response strength. Three repeated experiments sessions are conducted on 10 male subjects over a month span and use the mean value of oxygenated hemoglobin（ HBO） as classification feature and SVM as classification method. Results show that in terms of classification accuracy,intra-session and inter-session classification accuracies have good test-retest reliability. Then the intraclass correlations coefficients,the quantity of significant activated channels and the same location of significant activated channels are used to evaluate the test-retest reliability of mean features and brain activation response strength. The results show that the test-retest reliability of the classification accuracy is highly consistent with the reliability of mean features and brain activation response strength for all subjects. This study show that for the majority of subjects,mental arithmetic and righthand motor imagery paradigm have a good test-retest reliability,which provides a useful theoretical support for the real application of f NIRS-BCI.

关 键 词：近红外光谱 脑机接口(BCI) 重测信度 心算 想象动右手 氧合血红蛋白均值 

分 类 号：R318[医药卫生—生物医学工程] TN911.7[医药卫生—基础医学]