摘要： 為了迅速,、準(zhǔn)確地識(shí)別運(yùn)動(dòng)想象的腦電信號(hào),，提出了一種基于平移窗的運(yùn)動(dòng)想象腦電信號(hào)活動(dòng)段提取方法。該方法對(duì)運(yùn)動(dòng)想象腦電信號(hào)Mu/Beta節(jié)律的事件相關(guān)同步化/去同步化(ERS/ERD)特征進(jìn)行檢測(cè),，提取ERS/ERD特征明顯的時(shí)段,；再利用統(tǒng)計(jì)量進(jìn)行特征提取，通過(guò)Classify分類器進(jìn)行信號(hào)分類,。利用2003年BCI競(jìng)賽data set Ⅲ進(jìn)行測(cè)試,，分類準(zhǔn)確率達(dá)到83.571 4%。該方法可以評(píng)價(jià)受試者的腦活動(dòng)狀態(tài)，提高運(yùn)動(dòng)想象腦電信號(hào)的識(shí)別準(zhǔn)確率,，對(duì)腦-機(jī)接口實(shí)時(shí)控制系統(tǒng)的研究有一定的幫助,。
中圖分類號(hào)： TN98；TP391.4 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.201223 中文引用格式： 張莉,，王凱瑞,，李楊，等. 基于平移窗運(yùn)動(dòng)想象腦電信號(hào)活動(dòng)段提取[J].電子技術(shù)應(yīng)用,，2021,，47(9)：35-38. 英文引用格式： Zhang Li，Wang Kairui,，Li Yang,，et al. Activity segment extraction of electroencephalogram for imagery movement based on translating window[J]. Application of Electronic Technique，2021,，47(9)：35-38.
Activity segment extraction of electroencephalogram for imagery movement based on translating window
Abstract： In order to quickly and accurately identify electroencephalography(EEG) for imagery movement, in this paper, a method is proposed for extracting active segments of EEG signal for imagery movement based on translating window. This method detects the ERS/ERD characteristics of EEG signal, extracts the time periods with obvious ERS/ERD characteristics, uses the statistics to extract feature, and classifies them with the Classify classifier.Using experiment data set Ⅲ of BCI competition in 2003, the classification accuracy rate reaches 83.571 4%. This method can evaluate the brain activity state of subjects, improve the recognition accuracy of motor imagery EEG signals, and be beneficial to the research of brain-computer interface real-time control system.
Key words : recognition of electroencephalograph,；active segments detection；event-related synchronization/desynchronization,；Mu/Beta rhythm
