生物医学工程研究2023，Vol.42Issue(4)：319-328,10.DOI:10.19529/j.cnki.1672-6278.2023.04.03
稳态视觉诱发电位信号的预处理滤波设计及实验评测
Preprocessing filter design and experimental evaluation of steady-state visual evoked potential signals
摘要
Abstract
In order to achieve low-noise and high-quality EEG signal transmission,and enhance the application capability of steady-state visual evoked potentials(SSVEP)brain-computer interface system,we designed an SSVEP signal preprocessing filter for removing artifacts and signal drift.Firstly,based on the noisy data of preliminary study,we conducted offline analysis and verification,and used the grid search method to optimize the parameter setting in each filtering step.Then,spellers with 38 stimulus targets were de-signed and 20 healthy subjects were included for online analysis.The results showed that under the time window of 2、3 s,the prepro-cessed filtered signals were improved in classification accuracy by 8.88%and 6.66%,and the information transfer rate was improved by 19.59%and 10.5%,respectively.Moreover,the subjects were divided into the naive group and the experienced group,and the paired one-way ANOVA test confirmed that there was a significant difference in the accuracy between the two groups.The preprocessing filte-ring method can efficiently remove the artifacts and noise of SSVEP signals in both time and frequency domains,improve the accuracy of classification recognition,and can provide a reference for signal preprocessing in other paradigms of brain-computer interfaces.关键词
稳态视觉诱发电位/脑机接口/预处理滤波设计/网格搜索方法/方差检验Key words
Steady-state visual evoked potentials/Brain-computer interface/Preprocessing filter design/Grid search method/ANOVA test分类
医药卫生引用本文复制引用
李为龙,张睿芝,高国雅,刘培俊,桂志国,尚禹..稳态视觉诱发电位信号的预处理滤波设计及实验评测[J].生物医学工程研究,2023,42(4):319-328,10.基金项目
国家重点研发计划项目(2023YFE0202800) （2023YFE0202800）
山西省基础研究计划项目(202203021221097,202203021211100) （202203021221097,202203021211100）
山西省研究生教育创新项目(2022Y621) （2022Y621）
中北大学研究生科技立项(20221831,20221833,2022180502). （20221831,20221833,2022180502）
