메뉴 건너뛰기




Volumn , Issue , 2008, Pages

Automated detection of epileptic seizures using wavelet entropy feature with recurrent neural network classifier

Author keywords

Classification; EEG; Epilepsy; Recurrent neural network; Wavelet entropy

Indexed keywords

AUTOMATED DETECTIONS; BRAIN SIGNALS; CLASSIFICATION; EEG; EEG SIGNALS; EPILEPSY; EPILEPTIC SEIZURES; NEURAL NETWORK CLASSIFIERS; SPECTRAL ENTROPIES; WAVELET ENTROPY;

EID: 63049098045     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.2008.4766836     Document Type: Conference Paper
Times cited : (17)

References (19)
  • 2
    • 63049128253 scopus 로고
    • Guidelines for Epidemiologic Studies on Epilepsy. Commission on Epidemiology and Prognosis
    • International League Against Epilepsy Epilepsia
    • "Guidelines for Epidemiologic Studies on Epilepsy. Commission on Epidemiology and Prognosis", International League Against Epilepsy Epilepsia vol..34., no.4,1993.
    • (1993) , vol.34 , Issue.4
  • 4
    • 24144470790 scopus 로고    scopus 로고
    • Recurrent neural networks employing Lyapunov exponents for EEG signal classifcation
    • N.H.Guler., E.D.Ubeyli and I. Guler, "Recurrent neural networks employing Lyapunov exponents for EEG signal classifcation," Expert System with Applications, vol.25, pp. 506-514,2005.
    • (2005) Expert System with Applications , vol.25 , pp. 506-514
    • Guler, N.H.1    Ubeyli, E.D.2    Guler, I.3
  • 5
    • 5444236357 scopus 로고    scopus 로고
    • Detection of electroencephalographic changes in partial epileptic patients using Lyapanov exponents with multilayer perceptron neural networks
    • E.D. Ubeyli and I.Guleri," Detection of electroencephalographic changes in partial epileptic patients using Lyapanov exponents with multilayer perceptron neural networks," Engineering applications of Artificial Intelligence, vol 17 no.6, pp. 567-576, 2004.
    • (2004) Engineering applications of Artificial Intelligence , vol.17 , Issue.6 , pp. 567-576
    • Ubeyli, E.D.1    Guleri, I.2
  • 6
    • 0030219951 scopus 로고    scopus 로고
    • Detection of seizure activity in EEG by an artificial neural network: A preliminary study
    • N.Pradhan, P.K.Sadasivan, G.R. Arunodaya, "Detection of seizure activity in EEG by an artificial neural network: A preliminary study", Comput. Biomed. Res. 29,1996.
    • (1996) Comput. Biomed. Res , vol.29
    • Pradhan, N.1    Sadasivan, P.K.2    Arunodaya, G.R.3
  • 7
    • 25144477526 scopus 로고    scopus 로고
    • N. Kannathal,U, Rajendra Acharya,C.M. Lim,P .K. Sadasivan, Characterization of EEG - A comparative study, Computer Methods and Programs in Biomedicine, 80, pp. 17-23,2005.
    • N. Kannathal,U, Rajendra Acharya,C.M. Lim,P .K. Sadasivan, "Characterization of EEG - A comparative study", Computer Methods and Programs in Biomedicine, vol 80, pp. 17-23,2005.
  • 9
    • 24044474732 scopus 로고    scopus 로고
    • Artificial Neural Network based epileptic detection using Time-domain and Frequency-domain features
    • December
    • V.Srinivasan, C.Eswaran, and N.Sriraam, "Artificial Neural Network based epileptic detection using Time-domain and Frequency-domain features", Journal of Medical Systems, vol. 29, no. 6. 647-660, December 2005.
    • (2005) Journal of Medical Systems , vol.29 , Issue.6 , pp. 647-660
    • Srinivasan, V.1    Eswaran, C.2    Sriraam, N.3
  • 11
    • 0842310823 scopus 로고    scopus 로고
    • A neural-network-based detection of epilepsy
    • V.P. Nigam and D. Graupe, " A neural-network-based detection of epilepsy". Neurol. Res. 26:55-60, 2004.
    • (2004) Neurol. Res , vol.26 , pp. 55-60
    • Nigam, V.P.1    Graupe, D.2
  • 12
    • 0000224116 scopus 로고
    • Classification of electro-encephalogram using artificial neural networks
    • A.C. Tsoi,., D.S.C.So., and A.Sergejew, "Classification of electro-encephalogram using artificial neural networks". Adv. neural Inf. Process. Syst. 6:1151-1158, 1994.
    • (1994) Adv. neural Inf. Process. Syst , vol.6 , pp. 1151-1158
    • Tsoi, A.C.1    So, D.S.C.2    Sergejew, A.3
  • 13
    • 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
    • Nov
    • R. G. Andrzejak, "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, vol. 64, 061907, Nov. 2001. http://www.meb.uni-bonn.de/epileptologie/science/physik/ eegdata.html
    • (2001) Physical Review E , vol.64 , pp. 061907
    • Andrzejak, R.G.1
  • 15
    • 38049045437 scopus 로고    scopus 로고
    • Wavelet sample entropy: A new approach to predict termination of atrial fibrillation
    • R Alcaraz, C Vayá, R Cervigóan, C Śanchez, J.J Rieta, "Wavelet sample entropy: A new approach to predict termination of atrial fibrillation",Computers in Cardiology, vol.33,2006, pp.597-600.
    • (2006) Computers in Cardiology , vol.33 , pp. 597-600
    • Alcaraz, R.1    Vayá, C.2    Cervigóan, R.3    Śanchez, C.4    Rieta, J.J.5
  • 16
    • 63049092266 scopus 로고    scopus 로고
    • Energy and entropy analysis for electroencephalogram during anesthesia by wavelet method
    • W. Guangming, Z. Zhonghua," Energy and entropy analysis for electroencephalogram during anesthesia by wavelet method", The Internet Journal of Anesthesiology, vol.15, no.2, 2008.
    • (2008) The Internet Journal of Anesthesiology , vol.15 , Issue.2
    • Guangming, W.1    Zhonghua, Z.2
  • 17
    • 0035970026 scopus 로고    scopus 로고
    • Wavelet entropy: A new tool for analysis of short duration brain electrical signals
    • O. A. Rosso, S. Blanco, J. Yordanova, et al, "Wavelet entropy: a new tool for analysis of short duration brain electrical signals," Journal of Neuroscience methods, vol.105, 21, pp.65-75.
    • Journal of Neuroscience methods , vol.105 , Issue.21 , pp. 65-75
    • Rosso, O.A.1    Blanco, S.2    Yordanova, J.3
  • 18
    • 0029243867 scopus 로고
    • Neural network approaches to image compression
    • D. Dony., and S. Haykin," Neural network approaches to image compression", Proc. IEEE, vol.83,1995, pp.288-303.
    • (1995) Proc. IEEE , vol.83 , pp. 288-303
    • Dony, D.1    Haykin, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.