基于时变copula互信息的肌间耦合分析

如何准确、合理地衡量中枢神经系统调控下的肌间耦合关系,是一个富有挑战性的研究课题。在时变copula函数的基础上,通过与熵理论相结合,提出一种时变copula互信息估计方法,并将其应用于10名被试腕屈、腕展运动过程中,肱二头肌(BB)和肱三头肌(TB)记录的表面肌电(sEMG)信号在theta、alpha、beta等特征频段的耦合分析,同时对照静态copula函数验证其有效性,所用数据源自Ninapro DB4。实验结果表明,较之静态copula函数,时变copula函数对肌间相依结构的拟合优度更高,由时变copula互信息描述的肌间耦合强度存在显著的频段差异(P<0.05),具体表现为频段越高肌间耦合强度越低(腕屈:0.075 7~0.214 7 bit;腕展:0.078 0~0.237 3 bit),而静态copula互信息严重地低估肌间耦合强度。时变copula互信息为肌间耦合分析提供一种先进的理论指导方法,具有广阔的应用前景。     

脑纹识别研究综述

个人身份识别在当今互联网信息时代有着重要的意义,而传统的身份识别方式在安全上无法得到充分保证。脑电信号作为一种新型的生物特征,在不可窃取、不可伪造、必须活体检测等方面具有独特的优势,能为身份识别提供更安全的生物识别方法。因此,脑纹识别有着广阔的研究前景和应用价值。回顾近年来基于脑电信号的身份识别技术,详细阐述基于静息电位、视觉诱发电位(VEP)、运动想像、事件相关电位(ERP)在脑纹识别过程中的基本原理与方法,并分析各自的优势和局限性;最后就脑纹识别研究现状进行论述,并对其研究前景进行展望。     

基于神经营销的广告数字评价研究综述

As the development of brain imaging technology, the neuromarketing has been widely studied and successfully used in terms of brand benefits, advertising/marketing, pricing strategies and product promotion. This paper reviewed the state of art of applications in advertising evaluation with neuromarketing in recent years. It also introduced the principles and methods which applied in neuromarketing with functional magnetic resonance imaging (fMRI), electroencephalography (EEG) and magnetoencephalography (MEG), their pros and cons were further discussed. Finally, the existing questioning of their effectiveness and the ethical controversy were reviewed and summarized, also the future direction of neuromarketing was prospected.