메뉴 건너뛰기




Volumn 38, Issue 10, 2011, Pages 13475-13481

EEG signals classification using the K-means clustering and a multilayer perceptron neural network model

Author keywords

Classification; Discrete wavelet transform (DWT); EEG signals; Epilepsy; K means clustering; Multilayer perceptron neural network (MLPNN)

Indexed keywords

CLASSIFICATION; DISCRETE WAVELET TRANSFORM (DWT); EEG SIGNALS; EPILEPSY; K-MEANS CLUSTERING; MULTILAYER PERCEPTRON NEURAL NETWORK (MLPNN);

EID: 79957981604     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.04.149     Document Type: Article
Times cited : (579)

References (32)
  • 1
    • 0037441741 scopus 로고    scopus 로고
    • Analysis of EEG records in an epileptic patient using wavelet transform
    • DOI 10.1016/S0165-0270(02)00340-0, PII S0165027002003400
    • H. Adeli, Z. Zhou, and N. Dadmehr Analysis of EEG records in an epileptic patient using wavelet transform Journal of Neuroscience Methods 123 2003 69 87 (Pubitemid 36173654)
    • (2003) Journal of Neuroscience Methods , vol.123 , Issue.1 , pp. 69-87
    • Adeli, H.1    Zhou, Z.2    Dadmehr, N.3
  • 2
    • 0031139676 scopus 로고    scopus 로고
    • Wavelet applications in medicine
    • M. Akay Wavelet applications in medicine IEEE Spectrum 34 5 1997 50 56
    • (1997) IEEE Spectrum , vol.34 , Issue.5 , pp. 50-56
    • Akay, M.1
  • 3
    • 26944479675 scopus 로고    scopus 로고
    • Automatic seizure detection in EEG using logistic regression and artificial neural network
    • DOI 10.1016/j.jneumeth.2005.04.009, PII S0165027005001342
    • A. Alkan, E. Koklukaya, and A. Subasi Automatic seizure detection in EEG using logistic regression and artificial neural network Journal of Neuroscience Methods 148 2005 167 176 (Pubitemid 41476228)
    • (2005) Journal of Neuroscience Methods , vol.148 , Issue.2 , pp. 167-176
    • Alkan, A.1    Koklukaya, E.2    Subasi, A.3
  • 4
    • 0035682573 scopus 로고    scopus 로고
    • Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
    • R.G. Andrzejak, K. Lehnertz, F. Mormann, C. Rieke, P. David, and C.E. Elger Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state Physical Review E 64 6 2001 061907
    • (2001) Physical Review e , vol.64 , Issue.6 , pp. 061907
    • Andrzejak, R.G.1    Lehnertz, K.2    Mormann, F.3    Rieke, C.4    David, P.5    Elger, C.E.6
  • 5
    • 51349117677 scopus 로고    scopus 로고
    • A radial basis function neural network model for classification of epilepsy using EEG signals
    • K. Aslan, H. Bozdemir, S. Sahin, S.N. Ogulata, and R. Erol A radial basis function neural network model for classification of epilepsy using EEG signals The Journal of Medical Systems 32 2008 403 408
    • (2008) The Journal of Medical Systems , vol.32 , pp. 403-408
    • Aslan, K.1    Bozdemir, H.2    Sahin, S.3    Ogulata, S.N.4    Erol, R.5
  • 6
    • 0034564603 scopus 로고    scopus 로고
    • Artificial neural networks: Fundamentals, computing, design, and application
    • I.A. Basheer, and M. Hajmeer Artificial neural networks: Fundamentals, computing, design, and application Journal of Microbiological Methods 43 2000 3 31
    • (2000) Journal of Microbiological Methods , vol.43 , pp. 3-31
    • Basheer, I.A.1    Hajmeer, M.2
  • 7
    • 34250185435 scopus 로고    scopus 로고
    • Neural networks learning improvement using the K-means clustering algorithm to detect network intrusions
    • K.M. Faraoun, and A. Boukelif Neural networks learning improvement using the K-means clustering algorithm to detect network intrusions International Journal of Computational Intelligence 3 2007 161 168
    • (2007) International Journal of Computational Intelligence , vol.3 , pp. 161-168
    • Faraoun, K.M.1    Boukelif, A.2
  • 9
    • 26944458497 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system for classification
    • I. Guler, and E.D. Ubeyli Adaptive neuro-fuzzy inference system for classification Journal of Neuroscience Methods 148 2005 113 121
    • (2005) Journal of Neuroscience Methods , vol.148 , pp. 113-121
    • Guler, I.1    Ubeyli, E.D.2
  • 11
    • 0031141135 scopus 로고    scopus 로고
    • Classification of EEG signals using the wavelet transform
    • PII S0165168497000388
    • N. Hazarika, J.Z. Chen, A.C. Tsoi, and A. Sergejew Classification of EEG signals using the wavelet transform Signal Processing 59 1 1997 61 72 (Pubitemid 127416914)
    • (1997) Signal Processing , vol.59 , Issue.1 , pp. 61-72
    • Hazarika, N.1    Chen, J.Z.2    Tsoi, A.C.3    Sergejew, A.4
  • 12
    • 79958007937 scopus 로고    scopus 로고
    • Subtractive approach to fuzzy c-means clustering method
    • M. Hekim, and U. Orhan Subtractive approach to fuzzy c-means clustering method Journal of ITU-D 10 1 2011
    • (2011) Journal of ITU-D , vol.10 , Issue.1
    • Hekim, M.1    Orhan, U.2
  • 13
    • 5644255894 scopus 로고    scopus 로고
    • Automatic recognition of alertness level by using wavelet transform and artificial neural network
    • DOI 10.1016/j.jneumeth.2004.04.027, PII S0165027004001724
    • M.K. Kiymik, M. Akin, and A. Subasi Automatic recognition of alertness level by using wavelet transform and artificial neural network Journal of Neuroscience Methods 139 2004 231 240 (Pubitemid 39370849)
    • (2004) Journal of Neuroscience Methods , vol.139 , Issue.2 , pp. 231-240
    • Kiymik, M.K.1    Akin, M.2    Subasi, A.3
  • 14
    • 37849038260 scopus 로고    scopus 로고
    • Classification of EEG recordings by using fast independent component analysis and artificial neural network
    • Y. Kocyigit, A. Alkan, and H. Erol Classification of EEG recordings by using fast independent component analysis and artificial neural network Journal of Medical Systems 32 2008 17 20
    • (2008) Journal of Medical Systems , vol.32 , pp. 17-20
    • Kocyigit, Y.1    Alkan, A.2    Erol, H.3
  • 15
    • 70349528258 scopus 로고    scopus 로고
    • The use of K-means and artificial neural network to classify cotton lint
    • J.I. Mwasiagi, X.H. Wang, and X.B. Huang The use of K-means and artificial neural network to classify cotton lint Fiber and Polymers 10 2009 379 383
    • (2009) Fiber and Polymers , vol.10 , pp. 379-383
    • Mwasiagi, J.I.1    Wang, X.H.2    Huang, X.B.3
  • 16
    • 56349101801 scopus 로고    scopus 로고
    • Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
    • H. Ocak Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy Expert Systems with Applications 36 2009 2027 2036
    • (2009) Expert Systems with Applications , vol.36 , pp. 2027-2036
    • Ocak, H.1
  • 17
    • 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 88 2008 1858 1867
    • (2008) Signal Processing , vol.88 , pp. 1858-1867
    • Ocak, H.1
  • 18
    • 61349154936 scopus 로고    scopus 로고
    • Neural network-based computer aided diagnosis in classification of primary generalized epilepsy by EEG signals
    • S.N. Ogulata, C. Sahin, and R. Erol Neural network-based computer aided diagnosis in classification of primary generalized epilepsy by EEG signals The Journal of Medical Systems 33 2009 107 112
    • (2009) The Journal of Medical Systems , vol.33 , pp. 107-112
    • Ogulata, S.N.1    Sahin, C.2    Erol, R.3
  • 20
    • 84873022639 scopus 로고    scopus 로고
    • Epileptic Seizure Detection Using Probability Distribution Based on Equal Frequency Discretization
    • 10.1007/s10916-011-9689-y
    • U. Orhan, M. Hekim, and M. Ozer Epileptic Seizure Detection Using Probability Distribution Based On Equal Frequency Discretization Journal of Medical Sytems 2011 10.1007/s10916-011-9689-y
    • (2011) Journal of Medical Sytems
    • Orhan, U.1    Hekim, M.2    Ozer, M.3
  • 21
    • 0033990625 scopus 로고    scopus 로고
    • Recurrent neural network based prediction of epileptic seizures in intra and extracranial EEG
    • A. Petrosian, D. Prokhorov, R. Homan, R. Dashei, and D. Wunsch Recurrent neural network based prediction of epileptic seizures in intra and extracranial EEG Neurocomputing 30 2000 201 218
    • (2000) Neurocomputing , vol.30 , pp. 201-218
    • Petrosian, A.1    Prokhorov, D.2    Homan, R.3    Dashei, R.4    Wunsch, D.5
  • 22
    • 0030219951 scopus 로고    scopus 로고
    • Detection of seizure activity in EEG by an artificial neural network: A preliminary study
    • DOI 10.1006/cbmr.1996.0022
    • N. Pradhan, P.K. Sadasivan, and G.R. Arunodaya Detection of seizure activity in EEG by an artificial neural network: A preliminary study Computers and Biomedical Research 29 1996 303 313 (Pubitemid 26301913)
    • (1996) Computers and Biomedical Research , vol.29 , Issue.4 , pp. 303-313
    • Pradhan, N.1    Sadasivan, P.K.2    Arunodaya, G.R.3
  • 24
    • 0036825521 scopus 로고    scopus 로고
    • On the use of the wavelet decomposition for time series prediction
    • DOI 10.1016/S0925-2312(01)00648-8, PII S0925231201006488
    • S. Soltani On the use of the wavelet decomposition for time series prediction Neurocomputing 48 2002 267 277 (Pubitemid 36221499)
    • (2002) Neurocomputing , vol.48 , pp. 267-277
    • Soltani, S.1
  • 25
    • 24044474732 scopus 로고    scopus 로고
    • Artificial neural network based epileptic detection using time-domain and frequency-domain features
    • DOI 10.1007/s10916-005-6133-1
    • V. Srinivasan, C. Eswaran, and N. Sriraam Artificial neural network based epileptic detection using time-domain and frequency-domain features Journal of Medical Systems 29 6 2005 647 660 (Pubitemid 41225146)
    • (2005) Journal of Medical Systems , vol.29 , Issue.6 , pp. 647-660
    • Srinivasan, V.1    Eswaran, C.2    Sriraam, A.N.3
  • 26
    • 17844371713 scopus 로고    scopus 로고
    • Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients
    • DOI 10.1016/j.eswa.2004.12.027, PII S0957417404001745
    • A. Subasi Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients Expert Systems with Applications 28 2005 701 711 (Pubitemid 40583848)
    • (2005) Expert Systems with Applications , vol.28 , Issue.4 , pp. 701-711
    • Subasi, A.1
  • 27
    • 22144480299 scopus 로고    scopus 로고
    • Epileptic seizure detection using dynamic wavelet network
    • DOI 10.1016/j.eswa.2005.04.007, PII S0957417405000606
    • A. Subasi Epileptic seizure detection using dynamic wavelet network Expert Systems with Applications 29 2005 343 355 (Pubitemid 40982998)
    • (2005) Expert Systems with Applications , vol.29 , Issue.2 , pp. 343-355
    • Subasi, A.1
  • 28
    • 33751396389 scopus 로고    scopus 로고
    • EEG signal classification using wavelet feature extraction and a mixture of expert model
    • DOI 10.1016/j.eswa.2006.02.005, PII S0957417406000844
    • A. Subasi EEG signal classification using wavelet feature extraction and a mixture of expert model Expert Systems with Applications 32 2007 1084 1093 (Pubitemid 44821797)
    • (2007) Expert Systems with Applications , vol.32 , Issue.4 , pp. 1084-1093
    • Subasi, A.1
  • 29
    • 17744374301 scopus 로고    scopus 로고
    • Classification of EEG signals using neural network and logistic regression
    • DOI 10.1016/j.cmpb.2004.10.009
    • A. Subasi, and E. Ercelebi Classification of EEG signals using neural network and logistic regression Computer Methods and Programs in Biomedicine 78 2005 87 99 (Pubitemid 40575687)
    • (2005) Computer Methods and Programs in Biomedicine , vol.78 , Issue.2 , pp. 87-99
    • Subasi, A.1    Ercelebi, E.2
  • 30
    • 37049007663 scopus 로고    scopus 로고
    • Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines
    • E.D. Ubeyli Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines Computers in Biology and Medicine 38 1 2008 14 22
    • (2008) Computers in Biology and Medicine , vol.38 , Issue.1 , pp. 14-22
    • Ubeyli, E.D.1
  • 31
    • 58549111381 scopus 로고    scopus 로고
    • Combined neural network model employing wavelet coefficients for EEG signals classification
    • E.D. Ubeyli Combined neural network model employing wavelet coefficients for EEG signals classification Digital Signal Processing 19 2009 297 308
    • (2009) Digital Signal Processing , vol.19 , pp. 297-308
    • Ubeyli, E.D.1
  • 32
    • 56349123198 scopus 로고    scopus 로고
    • Decision support systems for time-varying biomedical signals: EEG signals classification
    • E.D. Ubeyli Decision support systems for time-varying biomedical signals: EEG signals classification Expert Systems with Applications 36 2009 2275 2284
    • (2009) Expert Systems with Applications , vol.36 , pp. 2275-2284
    • Ubeyli, E.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.