国际生物医学工程杂志
國際生物醫學工程雜誌
국제생물의학공정잡지
International Journal of Biomedical Engineering
2015年
4期
201-205
,共5页
心算%事件相关电位%P300%特征%样本熵
心算%事件相關電位%P300%特徵%樣本熵
심산%사건상관전위%P300%특정%양본적
Mental arithmetic%Event related potential%P300%Feature%Sample entropy
目的 利用样本熵研究心算任务诱发的事件相关电位(ERP)特征提取方法,从而增强脑-机接口(BCI)中脑电(EEG)信号成分特征.方法 设计计数、随机数和汉字笔画数求和等3种心算认知任务,分别采集3种任务下8名健康受试者16导脑电数据,利用样本熵算法计算脑电特征信号复杂度,探讨心算任务诱发ERP复杂度的特点和不同.结果 非靶刺激诱发的信号的样本熵值高于靶刺激诱发信号样本熵值且差异有统计学意义(P＜0.01);汉字数字笔画心算任务的样本熵值明显高于其他2种任务,差异有统计学意义(P＜0.05).受试者在非注意状态的非靶刺激下样本熵值高于注意状态的靶刺激的熵值.结论 在汉字数字笔画心算任务中,处理的信息复杂,神经细胞间的非线性连接较多,复杂度高.心算任务能有效地激活相关脑区,样本熵可将靶与非靶刺激响应信号相区别.
目的 利用樣本熵研究心算任務誘髮的事件相關電位(ERP)特徵提取方法,從而增彊腦-機接口(BCI)中腦電(EEG)信號成分特徵.方法 設計計數、隨機數和漢字筆畫數求和等3種心算認知任務,分彆採集3種任務下8名健康受試者16導腦電數據,利用樣本熵算法計算腦電特徵信號複雜度,探討心算任務誘髮ERP複雜度的特點和不同.結果 非靶刺激誘髮的信號的樣本熵值高于靶刺激誘髮信號樣本熵值且差異有統計學意義(P＜0.01);漢字數字筆畫心算任務的樣本熵值明顯高于其他2種任務,差異有統計學意義(P＜0.05).受試者在非註意狀態的非靶刺激下樣本熵值高于註意狀態的靶刺激的熵值.結論 在漢字數字筆畫心算任務中,處理的信息複雜,神經細胞間的非線性連接較多,複雜度高.心算任務能有效地激活相關腦區,樣本熵可將靶與非靶刺激響應信號相區彆.
목적 이용양본적연구심산임무유발적사건상관전위(ERP)특정제취방법,종이증강뇌-궤접구(BCI)중뇌전(EEG)신호성분특정.방법 설계계수、수궤수화한자필화수구화등3충심산인지임무,분별채집3충임무하8명건강수시자16도뇌전수거,이용양본적산법계산뇌전특정신호복잡도,탐토심산임무유발ERP복잡도적특점화불동.결과 비파자격유발적신호적양본적치고우파자격유발신호양본적치차차이유통계학의의(P＜0.01);한자수자필화심산임무적양본적치명현고우기타2충임무,차이유통계학의의(P＜0.05).수시자재비주의상태적비파자격하양본적치고우주의상태적파자격적적치.결론 재한자수자필화심산임무중,처리적신식복잡,신경세포간적비선성련접교다,복잡도고.심산임무능유효지격활상관뇌구,양본적가장파여비파자격향응신호상구별.
Objective To study the feature extraction methods for the event related potential (ERP) evoked by mental arithmetical tasks through the sample entropy, in order to enhance the features of electroencephalograph (EEG) signals for brain computer interface (BCI).Methods Three types of mental arithmetic tasks including a simple counting, a random number and a stroke of Chinese character counting were proposed and 16 channel EEG signals were recorded from eight healthy subjects.The sample entropy method was then applied in characteristic signal complexity analysis.The characteristic and difference of signal complexity of ERP evoked by three types of mental arithmetical tasks were explored.Results The entropy value for EEG signal evoked by non-target stimulus was higher than that by the target stimulus with the significant difference (P＜0.01).The entropy of the mental arithmetic based on the Chinese characters counting task was significandy higher than that of the other two tasks (P＜0.05).EEG signals evoked by target/non-target were fundamentally signals under the state of attention or non-attention.Conclusions For the Chinese characters counting task, more complex information have been processed by the brain and the non-linear connection between nerve cells are much more complicated and a higher entropy value is achieved.In summary, the mental arithmetic task can effectively activate the relevant brain regions and the sample entropy can distinguish signals evoked by target or non-target stimuli.
