메뉴 건너뛰기




Volumn 11, Issue , 2012, Pages 149-159

On the use of wavelet neural networks in the task of epileptic seizure detection from electroencephalography signals

Author keywords

EEG signals; Epilepsy; Epileptic seizure; Wavelet neural networks; Wavelet transform

Indexed keywords


EID: 84880869860     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2012.09.016     Document Type: Conference Paper
Times cited : (23)

References (27)
  • 1
    • 84890924627 scopus 로고    scopus 로고
    • The human brain in numbers: A linearly scaled-up primate brain
    • Herculano-Houzel S. The human brain in numbers: A linearly scaled-up primate brain. Front Hum Neurosci 2009;3:1-11.
    • (2009) Front Hum Neurosci , vol.3 , pp. 1-11
    • Herculano-Houzel, S.1
  • 2
    • 84876776195 scopus 로고    scopus 로고
    • online
    • World Health Organization (WHO), Epilepsy fact sheet, 2009 (online). http://www.who.int/mental-health/neurology/epilepsy/en/.
    • (2009) Epilepsy Fact Sheet
  • 3
    • 71749109171 scopus 로고    scopus 로고
    • Lyapunov exponents/probabilistic neural networks for analysis of EEG signals
    • Übeyli ED. Lyapunov exponents/probabilistic neural networks for analysis of EEG signals. Expert Sys Appl 2010; 37:985-92.
    • (2010) Expert Sys Appl , vol.37 , pp. 985-992
    • Übeyli, E.D.1
  • 4
    • 26944479675 scopus 로고    scopus 로고
    • Automatic seizure detection in EEG using logistic regression and artificial neural networks
    • Alkan A, Koklukaya E, Subasi A. Automatic seizure detection in EEG using logistic regression and artificial neural networks. J Neurosci Methods 2005;148:167-76.
    • (2005) J Neurosci Methods , vol.148 , pp. 167-176
    • Alkan, A.1    Koklukaya, E.2    Subasi, A.3
  • 5
    • 56349101801 scopus 로고    scopus 로고
    • Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
    • Ocak H. Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy. Expert Sys Appl 2009;36:2027-36.
    • (2009) Expert Sys Appl , vol.36 , pp. 2027-2036
    • Ocak, H.1
  • 6
    • 22144480299 scopus 로고    scopus 로고
    • Epileptic seizure detection using dynamic wavelet network
    • Subasi A. Epileptic seizure detection using dynamic wavelet network. Expert Sys Appl 2005;29:343-55.
    • (2005) Expert Sys Appl , vol.29 , pp. 343-355
    • Subasi, A.1
  • 7
    • 79957981604 scopus 로고    scopus 로고
    • EEG signals classification using the k-means clustering and a multilayer perceptron neural network model
    • Orhan U, Hekim M, Ozer M. EEG signals classification using the K-means clustering and a multilayer perceptron neural network model. Expert Sys Appl 2011;38:13475-81.
    • (2011) Expert Sys Appl , vol.38 , pp. 13475-13481
    • Orhan, U.1    Hekim, M.2    Ozer, M.3
  • 8
    • 70349472753 scopus 로고    scopus 로고
    • Least squares support vector machine employing model-based methods coefficients for analysis of EEG signals
    • Übeyli ED. Least squares support vector machine employing model-based methods coefficients for analysis of EEG signals. Expert Sys Appl 2010;37:233-9.
    • (2010) Expert Sys Appl , vol.37 , pp. 233-239
    • Übeyli, E.D.1
  • 9
    • 34247217946 scopus 로고    scopus 로고
    • Classification on epileptiform EEG using a hybrid system based on decision tree classifier and fast fourier transform
    • Polat K, Güneş S. Classification on epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform. Appl Math Comput 2007;187:1017-26.
    • (2007) Appl Math Comput , vol.187 , pp. 1017-1026
    • Polat, K.1    Güneş, S.2
  • 10
    • 51349117677 scopus 로고    scopus 로고
    • A radial basis function neural network model for classification of epilepsy using EEG signals
    • Aslan K, Bozdemir H, Şahin C, Oǧulata S, Erol S. A radial basis function neural network model for classification of epilepsy using EEG signals. J Med Syst 2008;32:403-8.
    • (2008) J Med Syst , vol.32 , pp. 403-408
    • Aslan, K.1    Bozdemir, H.2    Şahin, C.3    Oǧulata, S.4    Erol, S.5
  • 11
    • 56549122554 scopus 로고    scopus 로고
    • Analysis of EEG signals by implementing eigenvector methods/recurrent neural networks
    • Übeyli ED. Analysis of EEG signals by implementing eigenvector methods/recurrent neural networks. Digit Signal Prog 2009;19:134- 43.
    • (2009) Digit Signal Prog , vol.19 , pp. 134-143
    • Übeyli, E.D.1
  • 12
    • 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
    • Andrzejak RG, Lehnertz K, Mormann F, Rieke C, David P, Elger CE. 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 2001;64:061907.
    • (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
  • 15
    • 0002807246 scopus 로고    scopus 로고
    • Neural networks in biomedical signal processing
    • Bronzino JD. Boca Raton: CRC Press LLC
    • Micheli-Tzanakou E. Neural networks in biomedical signal processing. In: Bronzino JD. The biomedical engineering handbook, Boca Raton: CRC Press LLC; 2000.
    • (2000) The Biomedical Engineering Handbook
    • Micheli-Tzanakou, E.1
  • 16
    • 77958605644 scopus 로고    scopus 로고
    • A neural network approach in predicting the blood glucose level for diabetic patients
    • Zainuddin Z, Ong P, Ardil C. A neural network approach in predicting the blood glucose level for diabetic patients. Int J Comput Intell 2009;5:72-9.
    • (2009) Int J Comput Intell , vol.5 , pp. 72-79
    • Zainuddin, Z.1    Ong, P.2    Ardil, C.3
  • 17
    • 79959972144 scopus 로고    scopus 로고
    • Reliable multiclass cancer classification of microarray gene expression profiles using an improved wavelet neural network
    • Zainuddin Z, Ong P. Reliable multiclass cancer classification of microarray gene expression profiles using an improved wavelet neural network. Expert Sys Appl 2011;38:13711-22.
    • (2011) Expert Sys Appl , vol.38 , pp. 13711-13722
    • Zainuddin, Z.1    Ong, P.2
  • 18
    • 79956146364 scopus 로고    scopus 로고
    • Natick, Massachusetts: The MathWorks Inc
    • MATLAB version 7.10.0, Natick, Massachusetts: The MathWorks Inc, 2010.
    • (2010) MATLAB Version 7.10.0
  • 19
    • 0026116468 scopus 로고
    • Orthogonal least squares learning algorithm for radial basis function networks
    • Chen S, Cowan C, Grant P. Orthogonal least squares learning algorithm for radial basis function networks. IEEE Trans Neural Networks 1991;2:302-9.
    • (1991) IEEE Trans Neural Networks , vol.2 , pp. 302-309
    • Chen, S.1    Cowan, C.2    Grant, P.3
  • 21
    • 0037441741 scopus 로고    scopus 로고
    • Analysis of EEG records in an epileptic patient using wavelet transform
    • Adeli H, Zhou Z, Dadmehr N. Analysis of EEG records in an epileptic patient using wavelet transform. J Neurosci Methods 2003;123:69-87.
    • (2003) J Neurosci Methods , vol.123 , pp. 69-87
    • Adeli, H.1    Zhou, Z.2    Dadmehr, N.3
  • 22
    • 80053564252 scopus 로고    scopus 로고
    • Modified wavelet neural networks in function approximation and its application in prediction of time-series pollution data
    • Zainuddin Z, Ong P. Modified wavelet neural networks in function approximation and its application in prediction of time-series pollution data. Appl Soft Comput 2011;11:4866-74.
    • (2011) Appl Soft Comput , vol.11 , pp. 4866-4874
    • Zainuddin, Z.1    Ong, P.2
  • 23
    • 38749083808 scopus 로고    scopus 로고
    • Automatic seizure detection based on time-frequency analysis and artificial neural networks
    • Tzallas A, Tsipouras M, Fotiadis D. Automatic seizure detection based on time-frequency analysis and artificial neural networks. Comput Intell Neurosci 2007;2007:1-13.
    • (2007) Comput Intell Neurosci , vol.2007 , pp. 1-13
    • Tzallas, A.1    Tsipouras, M.2    Fotiadis, D.3
  • 24
    • 77955054723 scopus 로고    scopus 로고
    • Automatic epileptic seizure detection in EGGs based on line length feature and artificial neural networks
    • Guo L, Rivero D, Dorado J, Rabuñal J, Pazos A. Automatic epileptic seizure detection in EGGs based on line length feature and artificial neural networks. J Neurosci Methods 2010;191:101-9.
    • (2010) J Neurosci Methods , vol.191 , pp. 101-109
    • Guo, L.1    Rivero, D.2    Dorado, J.3    Rabuñal, J.4    Pazos, A.5
  • 25
    • 79957981604 scopus 로고    scopus 로고
    • EEG signals classification using k-means clustering and a multilayer perceptron neural network model
    • Orhan U, Hekim M, Ozer M. EEG signals classification using K-means clustering and a multilayer perceptron neural network model. Expert Sys Appl 2011;38;13475-81.
    • (2011) Expert Sys Appl , vol.38 , pp. 13475-13481
    • Orhan, U.1    Hekim, M.2    Ozer, M.3
  • 26
    • 41549128388 scopus 로고    scopus 로고
    • FPGA implementation of a wavelet neural network with particle swarm optimization learning
    • Lin CJ, Tsai HM. FPGA implementation of a wavelet neural network with particle swarm optimization learning. Math Comput Model 2008;4:982-996.
    • (2008) Math Comput Model , vol.4 , pp. 982-996
    • Lin, C.J.1    Tsai, H.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.