徐宝国,宋爱国,费树岷.在线脑机接口中脑电信号的特征提取与分类方法[J].电子学报,2011,38(5):1025-1030.Xu B G,Song A G,Fei S M.Feature extraction and classification of EEG in online brain-computer interface[J].Acta Electronica Sinica,2011,38(5):1025-1030.(in Chinese)
[2]
Yang B H,Yan G Z,Yan R G,Wu T.Feature extraction for EEG-based brain–computer interfaces by wavelet packet best basis decomposition[J].J Neural Eng,2006,3:251-256.
[3]
Xue J Z,Zhang H,Zheng C X,Yan X G.Wavelet packet transform for feature extraction of EEG during mental tasks[A].Proceedings of the 2nd International Conference on Machine Learning and Cybernetics[C].IEEE,2003.360-363.
[4]
Coifman R,Wickerhauser M V.Entropy-based algorithms for best-basis selection[J].IEEE Trans Inf Theory,1992,38:713-718.
[5]
孙宇舸,叶柠,徐心和.基于小波熵和距离的脑电信号特征提取与识别[A].中国控制与决策学术年会论文集[C].烟台,2008.4294-4298.Sun Y G,Ye N,Xu X H.The feature extraction and recognition of EEG based on wavelet entropy and distance[A].Prdeedings of Chinese Control and Decision Conference[C].Yantai,2008.4294-4298.(in Chinese)
[6]
Doyle J C,Ornstein R,Galin D.Lateral Specialization of cognitive mode:II.EEG frequency analysis[J].Psychophysiology,1974,11(6):567-578.
[7]
Keirn Z A,Aunon J I.A new mode of communication between man and his surrondings[J].IEEE Trans Biomed Eng,1990,37(12):1209-1214.
[8]
Colorado State University[DB/OL].http://www.cs.colostate.edu/eeg/eegSoftware.html.
[9]
Anderson C W,Sijercic Z.Classfication of EEG signals from four subjects during five mental tasks[A].Proceedings of the IEEE,EANN''96[C].London,1996.407-414
[10]
Huan N J,Palaniappan R.Classification of mental tasks using fixed and adaptive autoregressive models of EEG signals[A].Proceedings of the 26th Annual International Conference of the IEEE EMBS[C].San Francisco,2004.507-510.
[11]
杨立才,李佰敏,李光林,贾磊.脑-机接口技术综述[J].电子学报,2005,33(7):1234-1241.Yang L C,Li B M,Li G L,Jia L.A review of brain-computer interface technology[J].Acta Electronica Sinica,2005,33(7):1234-1241.(in Chinese)
[12]
Anderson C W,Stolz E A,Shamsunder S.Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks[J].IEEE Trans Biomed Eng,1998,45(3):277-286.
[13]
杨帮华,颜国正,严荣国.脑机接口中基于小波包最优基的特征抽取[J].上海交通大学学报,2005,39(11):1879-1882.Yang B H,Yan G Z,Yan R G.The feature extraction in brain-computer interface based on best basis of wavelet packet[J].J Shanghai Jiaotong Univ,2005,39(11):1879-1882.(in Chinese)
[14]
李明爱,王蕊,郝冬梅.想象左右手运动的脑电特征提取及分类研究[J].中国生物医学工程学报,2009,28(2):166-170.Li M A,Wang R,Hao D M.Feature extraction and classification of EEG for imagery left-right hands movement[J].Chin J Biomed Eng,2009,28(2):166-170.(in Chinese)
[15]
Yildiz A,Akin M,Poyraz M,Kirbas G.Application of adaptive neuro-fuzzy inference system for vigilance level estimation by using wavelet-entropy feature extraction[J].Expert Syst Appl,2009,36(4):7390-7399.
[16]
Wang D,Miao D Q,Xie C.Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection[J].Expert Syst Appl,2011,38(11):14314-14320.
[17]
Wu T,Yang G Z,Yang B H,Sun H.EEG feature extraction based on wavelet packet decomposition for brain computer interface[J].Measurement,2008,41(6):618-625.
[18]
任亚莉.基于小波包熵的运动意识任务分类研究[J].生物物理学报,2008,24(3):227-231.Ren Y L.Study on classification of imaginary hand movements based on wavelet packtet entropy[J].Acta Biophysica Sinica,2008,24(3):227-231.(in Chinese)
[19]
孙延奎.小波分析及其应用[M].北京:机械工业出版社,2005.Sun Y K.Wavelet Analysis and Application[M].Beijing:China Machine Press,2005.(in Chinese)
[20]
Ehrlichman H,Wiener M S.EEG asymmetry during covert mental activity[J].Psychophysiology,1980,17(3):228-235.
Nakayama K,Inagaki K.A brain computer interface based on neural network with efficient pre-processing[A].Proceedings of the IEEE,ISPACS2006[C].Yonago,2006.673-676.
