信息通信技术与政策2024，Vol.50Issue(5)：2-11,10.DOI:10.12267/j.issn.2096-5931.2024.05.001
用于运动准备诱发脑电响应识别的新型复合空间滤波算法研究
Research on novel compound spatial filter algorithm for recognition of pre-movement EEG patterns
摘要
Abstract
Brain-computer interface(BCI)establishes a direct information communication channel between the brain and the external environment,which has increasingly highlighted its important scientific significance and application value in many aspects of human motor function rehabilitation,replacement and enhancement.As the most natural brain-computer interaction mode,BCI paradigm based on movement intention has been widely concerned by researchers.The decoding of pre-movement EEG patterns can make BCI more responsive and flexible.However,the EEG features at this stage are weak and difficult to recognize efficiently.Based on the above challenges,research is focused on the enhancement of temporal and spatial lateral characteristics of pre-movement EEG in low frequency.Aleft and right hand self-paced keystroke task is designed,and a new composite spatial filtering algorithm is proposed by combining discriminative canonical pattern matching(DCPM)and task-related component analysis(TRCA).The results show that the average accuracy of EEG signal recognition under this algorithm can reach 78.56％,which is better than previous literature reports,and can provide theoretical basis and technical support for efficient brain-computer interaction based on motion intention.关键词
运动预备/脑电/脑机接口/空间滤波Key words
movement preparation/electroencephalography/brain-computer interface/spatial filter分类
医药卫生引用本文复制引用
王坤,黄依宁,许敏鹏,顾晓松,明东..用于运动准备诱发脑电响应识别的新型复合空间滤波算法研究[J].信息通信技术与政策,2024,50(5):2-11,10.基金项目
国家自然科学基金项目(No.62206198、No.62122059) （No.62206198、No.62122059）
