| 基于小波变换和时域能量熵的 P300特征提取算法 |
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| 引用本文： | 王攀,沈继忠,施锦河.基于小波变换和时域能量熵的 P300特征提取算法[J].仪器仪表学报,2011,32(6). |
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| 作者姓名： | 王攀 沈继忠 施锦河 |
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| 作者单位： | 浙江大学信息与电子工程学系,杭州,310027 |
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| 摘 要： | 针对P300信号特征提取和分类过程中训练及测试速度相对较慢的不足,提出了一种基于P300带内带外特征的脑电信号特征提取方法,将时域能量熵和离散小波变换相结合,克服了P300信号识别中对电极数量和脑电信号叠加次数的苛刻要求.试验采用支持向量机作为分类器,在BCI Competition 2003和BCI Competition 2005的P300试验数据集上进行验证,结果表明,提出的方法只需对一导数据进行处理,只有2次叠加平均,就能得到很好的分类效果及较短的分类系统运算时间.
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| 关 键 词： | BCI 时域能量熵 带内带外特征 小波变换 支持向量机 |
P300 feature extraction algorithm based on wavelet transform and temporal energy entropy |
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| Wang Pan,Shen Jizhong,Shi Jinhe.P300 feature extraction algorithm based on wavelet transform and temporal energy entropy[J].Chinese Journal of Scientific Instrument,2011,32(6). |
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| Authors: | Wang Pan Shen Jizhong Shi Jinhe |
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| Affiliation: | Wang Pan,Shen Jizhong,Shi Jinhe(Department of Information Science & Electronic Engineering,Zhejiang University,Hangzhou 310027,China) |
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| Abstract: | Aiming at the drawback of slow training and testing speed in P300 feature extraction and classification,a new P300 feature extraction method based on P300 in band and out of band EEG signal characteristics was proposed,which combines wavelet transform with temporal energy entropy.The proposed method overcomes the harsh requirement for electrode number and number of averaging.In this paper,support vector machine is used as classifier and the P300 data sets of BCI Competition 2003 and BCI Competition 2005 are... |
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| Keywords: | BCI temporal energy entropy in band and out of band feature wavelet SVM |
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