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基于脑电信号时空分布信息的思维特征研究 被引量:2

Spatio-Temporal Distribution of EEG Signals Analysis to Study Mental Character
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摘要 通过对几种特定形式的思维状态下 ,脑电信号不同频段能量的时空分布的计算和分析 ,发现了思维状态对脑电信号的能量分布影响具有不对称性。同时利用这种脑电信号能量的时空分布信息对思维状态进行神经网络分类 ,并对去除眼动等干扰信号前后的分类结果进行比较。结果表明 ,这种时空分布信息能有效的表征思维状态的类型 ,并对干扰信号具有一定的抑制作用 。 The research is focus on the relationship between mental states and EEG. Spatio temporal distribution of EEG's energy is calculated and analyzed, the asymmetry of this distribution is found under the different mental states. When using this distribution information for classifying mental state through neuro network,the classification is satisfaction. The result shows that the spatio-temporal distribution of EEG signals can availably express mental states ,it is also robust to noise disturbance. The method is a effective way to study the relationship between the EEG and Cognition.
出处 《北京生物医学工程》 2004年第2期112-115,共4页 Beijing Biomedical Engineering
关键词 脑电信号 时空分布信息 思维特征 思维任务 AR模型 BP神经网络 EEG Mental task AR Model BPNN ICA
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参考文献7

  • 1程明,高上凯,张琳.基于脑电信号的脑—计算机接口[J].北京生物医学工程,2000,19(2):113-118. 被引量:41
  • 2Makeig S, Anthony J, Tzyy-Ping Jung , etc. Independent component analysis of electroencephalographic data. In: Touretzky D, Mozer M and Hasselmo M, Eds. Advances in Neural Information Processing Systems.1996, 8:145-51
  • 3Anderson C, Devulapalli S and Stolz E. EEG signal lassification with different signal representations. In: Neural Networks for Signal Processing V, IEEE Service Center, Piscataway, NJ. 1995, 475 - 83
  • 4Pfurtscheller G, Flotzinger D and Kalcher J. Brain-computer interface -a new communication device for handicapped persons. Journal of Microcomputer Applications, 1993, 6 (3): 293-9
  • 5Keirn ZA, Aunon JI. A new mode of communication between man and his surroundings. IEEE Transactions on Biomedical Engineering, 1990, 37(12): 1209 - 14
  • 6Anderson C, etc. Multivariate autoregressive models for classification of spontaneous electroencephalogram during mental tasks. IEEE Transactions on Biomedical Engineering. 1998, 45 (3): 277- 86
  • 7.[EB/OL].http: ∥www. cs. colostate. edu/- anderson/res/eeg/.,.

二级参考文献24

  • 1[1] Pfurtscheller G, et al. Brain-computer interface-a new communication device for handicapped persons. J Microcomput Appl,1993,16:293~299
  • 2[2] EEG-based communication.http://www.ee.ic.ac.uk/research/neural/bci/review.html
  • 3[3] Vaughan T M, et al. EEG-based communication:prospects and problems. IEEE Trans Rehabil Eng,1996,4(4):425~430
  • 4[4] Sutter E E. The brain response interface:communication through visually-induced electrical brain response. J Microcomput Appl,1992,15:31~45
  • 5[5] Farwell L A and Donchin E. Talking off the top of your head:toward a mental prosthesis utilizing event-related brain potentials. Electroenceph Clin Neurophysiol,1988,70:510~523
  • 6[6] Pfurtscheller G, et al. Prediction of the side of hand movements from single trial multichannel EEG data using neural networks. Electroenceph Clin Neurophysiol,1992,82:313~315
  • 7[7] Peltoranta M and Pfurtscheller G. Neural network based classification of non-averaged event-related EEG responses. Med Biol Eng Comput, 1994,32:189~196
  • 8[8] Pfurtscheller G, et al. Differentiation between finger, toe and tongue movement in man based of 40Hz EEG. Electroenceph.Clin Neurophysiol,1994,90:456~460
  • 9[9] Flotzinger D, et al. Classification of non-averaged EEG data by learning vector quantisation and the influence of signal preprocessing. Med Biol Eng Comput,1994,32:571~576
  • 10[10] Kalcher J, et al. Graz brain-computer interface Ⅱ:towards communication between humans and computers based on online classification of three different EEG patterns. Med Biol Eng Comput,1996,34:382~388

共引文献40

同被引文献13

  • 1王春,彭东林.Hilbert-Huang变换及其在去噪方面的应用[J].仪器仪表学报,2004,25(z3):42-45. 被引量:33
  • 2白树林,谢松云,张玉梅,杨金孝.基于灰色系统理论的脑电特征提取[J].贵州工业大学学报(自然科学版),2005,34(6):55-59. 被引量:6
  • 3高湘萍,吴小培,沈谦.基于脑电的意识活动特征提取与识别[J].安徽大学学报(自然科学版),2006,30(2):33-36. 被引量:6
  • 4胡人君,李坤,吴小培.基于脑电信号的思维任务分类[J].计算机技术与发展,2007,17(5):173-176. 被引量:2
  • 5Veltcheva A D. Wave and Group Transformation by a Hilbert Speetrum[J].Coastal Engineering Journal.2002, 44 (4) : 283- 300.
  • 6Yang J N, Lei Y, Pan S, et al. System Identification of Linear Structures Based on Hilbert-Huang Spectral Analysis[J]. Earthquake Engineering and Structural Dynamics, 2003, 32 (9):1443-1467.
  • 7Huang N E,Shen Z,Long S R.The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis[C]//Proceedings of the Royal Society of London, 1998,454(A) : 903-995.
  • 8Huang W, Shen Z, Huang N E, et al. Nonlinear Indicial Response of Complex Nonstationary Oscillations as Pulmonary Hypertension Responding to Step Hypoxia[C]//Proceedings of the National Academy of Sciences USA, 1999,96(5) :1834- 1839.
  • 9Deng Julong.The Basis Method of Grey System[M].Wuhan:Huazhong University of Science and Technology Press,1996.
  • 10Matthias Moosmann,et al.Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy[J].NeuroImage,2003,20:145-158.

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