基于復(fù)雜網(wǎng)絡(luò)的情感腦電相位同步性分析
發(fā)布時(shí)間:2018-12-29 17:07
【摘要】:使用相位鎖值(Phase locking value,PLV)來量化任意兩個(gè)電極通道之間的相位同步性,構(gòu)建相應(yīng)的腦功能網(wǎng)絡(luò)的關(guān)聯(lián)矩陣,提取網(wǎng)絡(luò)不同稀疏度下的度、中間中心度兩個(gè)局部屬性的曲線下面積作為特征,對不同類型情感的網(wǎng)絡(luò)特征進(jìn)行非參數(shù)檢驗(yàn),找出顯著性的節(jié)點(diǎn)。同時(shí)采用得到的特征值作為分類依據(jù),訓(xùn)練SVM分類器。實(shí)驗(yàn)表明,利用PLV相位同步方法得到功能網(wǎng)絡(luò)的局部屬性,可以有效地區(qū)分不同類型的情感腦電數(shù)據(jù),為基于腦電數(shù)據(jù)的情感識別提供了一種有效的方法。
[Abstract]:Phase locking value (Phase locking value,PLV) is used to quantify the phase synchronization between any two electrode channels, to construct the correlation matrix of the corresponding brain functional network, and to extract the degree of the network with different sparsity. The area under the curve of the two local attributes of the center degree is used as a feature to test the network features of different types of emotions and to find out the significant nodes. At the same time, the obtained eigenvalues are used as the classification basis to train the SVM classifier. The experimental results show that using PLV phase synchronization method to obtain the local attributes of the functional network can effectively distinguish different types of emotional EEG data and provide an effective method for emotion recognition based on EEG data.
【作者單位】: 太原理工大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院計(jì)算機(jī)科學(xué)系;
【基金】:國家自然科學(xué)基金(No.61472270,No.61373101)
【分類號】:O157.5;R318
本文編號:2395110
[Abstract]:Phase locking value (Phase locking value,PLV) is used to quantify the phase synchronization between any two electrode channels, to construct the correlation matrix of the corresponding brain functional network, and to extract the degree of the network with different sparsity. The area under the curve of the two local attributes of the center degree is used as a feature to test the network features of different types of emotions and to find out the significant nodes. At the same time, the obtained eigenvalues are used as the classification basis to train the SVM classifier. The experimental results show that using PLV phase synchronization method to obtain the local attributes of the functional network can effectively distinguish different types of emotional EEG data and provide an effective method for emotion recognition based on EEG data.
【作者單位】: 太原理工大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院計(jì)算機(jī)科學(xué)系;
【基金】:國家自然科學(xué)基金(No.61472270,No.61373101)
【分類號】:O157.5;R318
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