基于微弱空间调制视觉诱发电位的混合诱发范式研究  

Research on Hybrid Evoked Paradigms Based on Weak Spatial Modulation Visual Evoked Potentials

作　　者：周晓宇 肖晓琳 许敏鹏 明东 Zhou Xiaoyu;Xiao Xiaolin;Xu Minpeng;Ming Dong(Academy of Medical Engineering and Translational Medicine.Tianjin University,Tianjin 300072,China)

机构地区：[1]天津大学医学工程与转化医学研究院,天津300072

出　　处：《中国生物医学工程学报》2025年第1期1-10,共10页Chinese Journal of Biomedical Engineering

基　　金：国家自然科学基金(62122059,62106170);济南市“新高校20条”引进创新团队项目(2021GXRC071)。

摘　　要：视觉诱发电位(VEPs)的空间调制特性为设计用户友好、实用型脑机接口系统提供了一种有效途径。然而,空间调制的VEPs信号幅值小、信噪比低,研究如何高效诱发、精准识别微弱空间调制VEPs至关重要。针对上述问题,本研究采用半径小于0.5°视角的微小视觉刺激,设计了“瞬态串行诱发范式”和“稳态瞬态并行诱发范式”两种空间调制混合诱发范式,并招募12名健康受试者参与试验。通过计算空间调制信噪比(sm-SNR)和离线分类正确率,定量对比了两种范式下VEPs的空间调制强度和可识别性。结果表明,“瞬态串行诱发范式”下“低频瞬态”空间调制特征的平均sm-SNR可达0.0148,显著高于“稳态瞬态并行诱发范式”下的“低频瞬态”、“高频稳态”及其混合空间调制特征(P<0.001)。离线分类结果与特征分析结果一致,“瞬态串行诱发范式”下的空间调制VEPs识别精度更高,平均分类正确率可达85%。研究结果有望为基于VEPs的空间调制特性设计高性能视觉脑机接口提供参考。The spatial modulation characteristics of visual evoked potentials(VEPs)provide an effective approach for designing user⁃friendly and practical brain⁃computer interface systems.However,the spatially modulated VEPs are usually weak and have low signal⁃to⁃noise ratios,making it crucial to study how to efficiently elicit and accurately identify weak spatially modulated VEPs.In this study,we employed visual stimuli with a radius smaller than 0.5°of visual angle and designed two mixed spatial modulation induction paradigms including the"transient stimuli serial induction paradigm"and the"steady⁃state and transient stimuli parallel induction paradigm".Twelve healthy subjects participated in the experiments,and the two paradigms were quantitatively compared by calculating the spatial modulated signal⁃to⁃noise ratio(sm⁃SNR)and offline classification accuracy.Results indicated that the average sm⁃SNR of the"Low⁃Frequency Transient"spatial modulation feature under the"transient stimuli serial induction paradigm"could reach 0.0148,significantly higher than that under the"steady⁃state and transient stimuli parallel induction paradigm"for the"low⁃frequency transient","high⁃frequency steady⁃state",and their mixed spatial modulation features.The offline classification results were consistent with the feature analysis results,showing that the spatial modulation VEPs recognition accuracy was higher under the"transient stimuli serial induction paradigm",with an average classification accuracy of 85%.This study is expected to provide a reference for the design of high⁃performance visual brain⁃computer interfaces based on the spatial modulation characteristics of VEPs.

关 键 词：脑机接口 视觉诱发电位 空间调制特征 

分 类 号：R318[医药卫生—生物医学工程]