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Volumn , Issue , 2011, Pages 809-814

Combined LVQ neural network and multivariate statistical method employing wavelet coefficient for EEG signal classification

Author keywords

discrete wavelet transformer; EEG signal; multivariate statistical method; neural networks; wavelet packet

Indexed keywords

CLASSIFICATION ACCURACY; COMBINED NEURAL NETWORKS; DENDOGRAM; DISCRETE WAVELETS; EEG SIGNAL; EEG SIGNAL CLASSIFICATION; EEG SIGNALS; ELECTROENCEPHALOGRAM SIGNALS; LEARNING VECTOR QUANTIZATION; LVQ NEURAL NETWORK; MULTI LAYER PERCEPTRON; MULTIVARIATE STATISTICAL METHOD; TRAINING METHODS; WAVELET COEFFICIENTS; WAVELET PACKET; WAVELET PACKETS;

EID: 80052183759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMECH.2011.5971225     Document Type: Conference Paper
Times cited : (7)

References (7)
  • 1
    • 16844376435 scopus 로고    scopus 로고
    • Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application
    • M. Kemal Kiymik, I. Guier, A. Dizibuyuk, M. Akin, "Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application", Computers in Biology and Medicine Transaction, pp.603-616.
    • Computers in Biology and Medicine Transaction , pp. 603-616
    • Kemal Kiymik, M.1    Guier, I.2    Dizibuyuk, A.3    Akin, M.4
  • 2
    • 41249099701 scopus 로고    scopus 로고
    • Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm
    • H. Ocak, "Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm", Signal Processing Transaction, pp. 1858-1867,2008.
    • (2008) Signal Processing Transaction , pp. 1858-1867
    • Ocak, H.1
  • 3
    • 24344510343 scopus 로고    scopus 로고
    • Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing
    • A. Subasi, A. Alkan, E. Koklukaya, M.K. Kiymik, " Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing", Neural Networks Transaction, pp. 985-997, 2005.
    • (2005) Neural Networks Transaction , pp. 985-997
    • Subasi, A.1    Alkan, A.2    Koklukaya, E.3    Kiymik, M.K.4
  • 4
    • 37349024109 scopus 로고    scopus 로고
    • Waveletlmixture of experts network structure for EEG signals classification
    • E. Derya Ubeyli, "Waveletlmixture of experts network structure for EEG signals classification", Expert Systems wuth Applications, pp. 1954-1962, 2008.
    • (2008) Expert Systems Wuth Applications , pp. 1954-1962
    • Derya Ubeyli, E.1
  • 5
    • 80052170346 scopus 로고    scopus 로고
    • Combined neural network model employing wavelet coefficients for EEG signals classification
    • E. Derya Ubeyli, "Combined neural network model employing wavelet coefficients for EEG signals classification", Digital Signal Processing Transaction, 2008.
    • (2008) Digital Signal Processing Transaction
    • Derya Ubeyli, E.1
  • 6
    • 0034564603 scopus 로고    scopus 로고
    • Artificial neural networks: Fundamentals, computing, design, and application
    • I.A. Basheer, M. Hajmeer, Artificial neural networks: Fundamentals, computing, design, and application, J. Microbiol. Methods 43 (1) (2000) 3-31.
    • (2000) J Microbiol. Methods , vol.43 , Issue.1 , pp. 3-31
    • Basheer, I.A.1    Hajmeer, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.