메뉴 건너뛰기




Volumn 34, Issue 3, 2008, Pages 1954-1962

Wavelet/mixture of experts network structure for EEG signals classification

Author keywords

Classification accuracy; Discrete wavelet transform; EEG signals classification; Expectation maximization algorithm; Mixture of experts

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISCRETE WAVELET TRANSFORMS; MATHEMATICAL MODELS; NEURAL NETWORKS; SIGNAL ANALYSIS; SUPERVISED LEARNING;

EID: 37349024109     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.02.006     Document Type: Article
Times cited : (109)

References (30)
  • 1
    • 0037441741 scopus 로고    scopus 로고
    • Analysis of EEG records in an epileptic patient using wavelet transform
    • Adeli H., Zhou Z., and Dadmehr N. Analysis of EEG records in an epileptic patient using wavelet transform. Journal of Neuroscience Methods 123 1 (2003) 69-87
    • (2003) Journal of Neuroscience Methods , vol.123 , Issue.1 , pp. 69-87
    • Adeli, H.1    Zhou, Z.2    Dadmehr, N.3
  • 3
    • 0031139676 scopus 로고    scopus 로고
    • Wavelet applications in medicine
    • Akay M. Wavelet applications in medicine. IEEE Spectrum 34 5 (1997) 50-56
    • (1997) IEEE Spectrum , vol.34 , Issue.5 , pp. 50-56
    • Akay, M.1
  • 4
    • 0035682573 scopus 로고    scopus 로고
    • Indications of nonlinear deterministic and finite-dimensional structures in time seires of brain electrical activity: dependence on recording region and brain state
    • Andrzejak R.G., Lehnertz K., Mormann F., Rieke C., David P., and Elger C.E. Indications of nonlinear deterministic and finite-dimensional structures in time seires of brain electrical activity: dependence on recording region and brain state. Physical Review E 64 (2001) 061907
    • (2001) Physical Review E , vol.64 , pp. 061907
    • Andrzejak, R.G.1    Lehnertz, K.2    Mormann, F.3    Rieke, C.4    David, P.5    Elger, C.E.6
  • 6
    • 0034564603 scopus 로고    scopus 로고
    • Artificial neural networks: fundamentals, computing, design, and application
    • Basheer I.A., and Hajmeer M. Artificial neural networks: fundamentals, computing, design, and application. Journal of Microbiological Methods 43 1 (2000) 3-31
    • (2000) Journal of Microbiological Methods , vol.43 , Issue.1 , pp. 3-31
    • Basheer, I.A.1    Hajmeer, M.2
  • 7
    • 0034283761 scopus 로고    scopus 로고
    • Efficient training and improved performance of multilayer perceptron in pattern classification
    • Chaudhuri B.B., and Bhattacharya U. Efficient training and improved performance of multilayer perceptron in pattern classification. Neurocomputing 34 (2000) 11-27
    • (2000) Neurocomputing , vol.34 , pp. 11-27
    • Chaudhuri, B.B.1    Bhattacharya, U.2
  • 8
    • 0032876594 scopus 로고    scopus 로고
    • Improved learning algorithms for mixture of experts in multiclass classification
    • Chen K., Xu L., and Chi H. Improved learning algorithms for mixture of experts in multiclass classification. Neural Networks 12 9 (1999) 1229-1252
    • (1999) Neural Networks , vol.12 , Issue.9 , pp. 1229-1252
    • Chen, K.1    Xu, L.2    Chi, H.3
  • 9
    • 0025482241 scopus 로고
    • The wavelet transform, time-frequency localization and signal analysis
    • Daubechies I. The wavelet transform, time-frequency localization and signal analysis. IEEE Transactions on Information Theory 36 5 (1990) 961-1005
    • (1990) IEEE Transactions on Information Theory , vol.36 , Issue.5 , pp. 961-1005
    • Daubechies, I.1
  • 11
    • 0026675081 scopus 로고
    • Automated interictal EEG spike detection using artificial neural networks
    • Gabor A.J., and Seyal M. Automated interictal EEG spike detection using artificial neural networks. Electroencephalography and Clinical Neurophysiology 83 5 (1992) 271-280
    • (1992) Electroencephalography and Clinical Neurophysiology , vol.83 , Issue.5 , pp. 271-280
    • Gabor, A.J.1    Seyal, M.2
  • 12
    • 0024661616 scopus 로고
    • Context-based automated detection of epileptogenic sharp transients in the EEG: elimination of false positives
    • Glover Jr. J.R., Raghaven N., Ktonas P.Y., and Frost Jr. J.D. Context-based automated detection of epileptogenic sharp transients in the EEG: elimination of false positives. Transactions on Biomedical Engineering 36 5 (1989) 519-527
    • (1989) Transactions on Biomedical Engineering , vol.36 , Issue.5 , pp. 519-527
    • Glover Jr., J.R.1    Raghaven, N.2    Ktonas, P.Y.3    Frost Jr., J.D.4
  • 16
    • 16844367664 scopus 로고    scopus 로고
    • A mixture of experts network structure for modelling Doppler ultrasound blood flow signals
    • Güler I., and Übeyli E.D. A mixture of experts network structure for modelling Doppler ultrasound blood flow signals. Computers in Biology and Medicine 35 7 (2005) 565-582
    • (2005) Computers in Biology and Medicine , vol.35 , Issue.7 , pp. 565-582
    • Güler, I.1    Übeyli, E.D.2
  • 17
    • 26944458497 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
    • Güler I., and Übeyli E.D. Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients. Journal of Neuroscience Methods 148 2 (2005) 113-121
    • (2005) Journal of Neuroscience Methods , vol.148 , Issue.2 , pp. 113-121
    • Güler, I.1    Übeyli, E.D.2
  • 19
    • 0031141135 scopus 로고    scopus 로고
    • Classification of EEG signals using the wavelet transform
    • Hazarika N., Chen J.Z., Tsoi A.C., and Sergejew A. Classification of EEG signals using the wavelet transform. Signal Processing 59 1 (1997) 61-72
    • (1997) Signal Processing , vol.59 , Issue.1 , pp. 61-72
    • Hazarika, N.1    Chen, J.Z.2    Tsoi, A.C.3    Sergejew, A.4
  • 20
    • 0036170354 scopus 로고    scopus 로고
    • A mixture of experts network structure construction algorithm for modelling and control
    • Hong X., and Harris C.J. A mixture of experts network structure construction algorithm for modelling and control. Applied Intelligence 16 1 (2002) 59-69
    • (2002) Applied Intelligence , vol.16 , Issue.1 , pp. 59-69
    • Hong, X.1    Harris, C.J.2
  • 21
  • 23
    • 0000262562 scopus 로고
    • Hierarchical mixture of experts and the EM algorithm
    • Jordan M.I., and Jacobs R.A. Hierarchical mixture of experts and the EM algorithm. Neural Computation 6 2 (1994) 181-214
    • (1994) Neural Computation , vol.6 , Issue.2 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 24
    • 0033117677 scopus 로고    scopus 로고
    • An improved neural classification network for the two-group problem
    • Mangiameli P., and West D. An improved neural classification network for the two-group problem. Computers & Operations Research 26 5 (1999) 443-460
    • (1999) Computers & Operations Research , vol.26 , Issue.5 , pp. 443-460
    • Mangiameli, P.1    West, D.2
  • 25
    • 0031959244 scopus 로고    scopus 로고
    • Detection of spikes with artificial neural networks using raw EEG
    • Özdamar O., and Kalayci{dotless} T. Detection of spikes with artificial neural networks using raw EEG. Computers and Biomedical Research 31 2 (1998) 122-142
    • (1998) Computers and Biomedical Research , vol.31 , Issue.2 , pp. 122-142
    • Özdamar, O.1    Kalayci, T.2
  • 26
    • 0036825521 scopus 로고    scopus 로고
    • On the use of the wavelet decomposition for time series prediction
    • Soltani S. On the use of the wavelet decomposition for time series prediction. Neurocomputing 48 (2002) 267-277
    • (2002) Neurocomputing , vol.48 , pp. 267-277
    • Soltani, S.1
  • 27
    • 0030127507 scopus 로고    scopus 로고
    • A review of wavelets in biomedical applications
    • Unser M., and Aldroubi A. A review of wavelets in biomedical applications. Proceedings of the IEEE 84 4 (1996) 626-638
    • (1996) Proceedings of the IEEE , vol.84 , Issue.4 , pp. 626-638
    • Unser, M.1    Aldroubi, A.2
  • 29
    • 0027981821 scopus 로고
    • Practical detection of epileptiform discharges (EDs) in the EEG using an artificial neural network: a comparison of raw and parameterized EEG data
    • Webber W.R.S., Litt B., Wilson K., and Lesser R.P. Practical detection of epileptiform discharges (EDs) in the EEG using an artificial neural network: a comparison of raw and parameterized EEG data. Electroencephalography and Clinical Neurophysiology 91 3 (1994) 194-204
    • (1994) Electroencephalography and Clinical Neurophysiology , vol.91 , Issue.3 , pp. 194-204
    • Webber, W.R.S.1    Litt, B.2    Wilson, K.3    Lesser, R.P.4
  • 30
    • 0027457620 scopus 로고
    • Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine
    • Zweig M.H., and Campbell G. Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine. Clinical Chemistry 39 4 (1993) 561-577
    • (1993) Clinical Chemistry , vol.39 , Issue.4 , pp. 561-577
    • Zweig, M.H.1    Campbell, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.