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Volumn , Issue , 2006, Pages 177-194

Artificial neural networks in EEG analysis

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EID: 84899381578     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59140-848-2.ch008     Document Type: Chapter
Times cited : (2)

References (47)
  • 3
    • 0034939088 scopus 로고    scopus 로고
    • Diagnostic value of quantitative EEG in Alzheimer's disease
    • Bennys, K., Rondouin, G., Vergnes, C., & Touchon, J. (2001). Diagnostic value of quantitative EEG in Alzheimer's disease. Neurophysiologie Clinique, 31(3), 153-160.
    • (2001) Neurophysiologie Clinique , vol.31 , Issue.3 , pp. 153-160
    • Bennys, K.1    Rondouin, G.2    Vergnes, C.3    Touchon, J.4
  • 4
    • 2442639086 scopus 로고    scopus 로고
    • BCI Competition 2003-Data set IIa: Spatial patterns of self-controlled brain rhythm modulations
    • Blanchard, G., & Blankertz, B.(2004). BCI Competition 2003-Data set IIa: Spatial patterns of self-controlled brain rhythm modulations. IEEE Transactions on Biomedical Engineering, 51(6), 1062-1066.
    • (2004) IEEE Transactions On Biomedical Engineering , vol.51 , Issue.6 , pp. 1062-1066
    • Blanchard, G.1    Blankertz, B.2
  • 5
    • 0032213605 scopus 로고    scopus 로고
    • Toward prediction of physiological state signals in sleep apnea
    • Bock, J., & Gough, D.A. (1998). Toward prediction of physiological state signals in sleep apnea. IEEE Transactions on Biomedical Engineering, 45(11), 1332-1341.
    • (1998) IEEE Transactions On Biomedical Engineering , vol.45 , Issue.11 , pp. 1332-1341
    • Bock, J.1    Gough, D.A.2
  • 6
    • 0028115764 scopus 로고
    • EEG power spectra in Huntington's disease: Clinical and neuropsychological correlates
    • Bylsma, F. W., Peyser, C., Folstein, S. E., Folstein, M. F., Ross, C., & Brandt, J. (1994). EEG power spectra in Huntington's disease: Clinical and neuropsychological correlates. Neuropsychologia, 32(2), 137-150.
    • (1994) Neuropsychologia , vol.32 , Issue.2 , pp. 137-150
    • Bylsma, F.W.1    Peyser, C.2    Folstein, S.E.3    Folstein, M.F.4    Ross, C.5    Brandt, J.6
  • 7
    • 0037805286 scopus 로고    scopus 로고
    • Detection of subclinical brain electrical activity changes in Huntington's disease using artificial neural networks
    • de Tommaso, M., De Carlo, F., Difruscolo, O., Massafra, R., Sciruicchio, V., & Bellotti, R. (2003). Detection of subclinical brain electrical activity changes in Huntington's disease using artificial neural networks. Clinical Neurophysiology, 114(7), 1237-1245.
    • (2003) Clinical Neurophysiology , vol.114 , Issue.7 , pp. 1237-1245
    • de Tommaso, M.1    de Carlo, F.2    Difruscolo, O.3    Massafra, R.4    Sciruicchio, V.5    Bellotti, R.6
  • 8
    • 0013815474 scopus 로고
    • Minimum aleveolar anaesthetic concentration. A standard of anaesthetic potency
    • Eger, E. I., Saidman, L. J., & Brandstater, B. (1965). Minimum aleveolar anaesthetic concentration. A standard of anaesthetic potency. Anaesthesiology, 26(6), 756-763.
    • (1965) Anaesthesiology , vol.26 , Issue.6 , pp. 756-763
    • Eger, E.I.1    Saidman, L.J.2    Brandstater, B.3
  • 10
    • 0020382517 scopus 로고
    • Automatic recognition of epileptic seizures in the EEG
    • Gotman, J. (1982). Automatic recognition of epileptic seizures in the EEG. Electroencephalography and Clinical Neurophysiology, 54(5), 530-540.
    • (1982) Electroencephalography and Clinical Neurophysiology , vol.54 , Issue.5 , pp. 530-540
    • Gotman, J.1
  • 12
    • 0037401031 scopus 로고    scopus 로고
    • Prediction of response to incision using the mutual information of electroencephalograms during anesthesia
    • Huang, L., Yu, P., Ju, F., & Cheng, J. (2003). Prediction of response to incision using the mutual information of electroencephalograms during anesthesia. Medical Engineering & Physics, 25, 321-327.
    • (2003) Medical Engineering & Physics , vol.25 , pp. 321-327
    • Huang, L.1    Yu, P.2    Ju, F.3    Cheng, J.4
  • 14
    • 2942595996 scopus 로고    scopus 로고
    • Automated EEG preprocessing during anesthesia: New aspects using artificial neural networks
    • Jeleazcov, C., Egner, S., Bremer, F., & Schwilden, H. (2004). Automated EEG preprocessing during anesthesia: New aspects using artificial neural networks. Biomedizinische Technik, 49(5), 125-131.
    • (2004) Biomedizinische Technik , vol.49 , Issue.5 , pp. 125-131
    • Jeleazcov, C.1    Egner, S.2    Bremer, F.3    Schwilden, H.4
  • 15
    • 0030837127 scopus 로고    scopus 로고
    • The role of the electroencephalogram in the diagnosis of dementia of the Alzheimer type: An attempt at technology assessment
    • Jonkman, E. J. (1997). The role of the electroencephalogram in the diagnosis of dementia of the Alzheimer type: An attempt at technology assessment. Clinical Neurophysiology, 27(3), 211-219.
    • (1997) Clinical Neurophysiology , vol.27 , Issue.3 , pp. 211-219
    • Jonkman, E.J.1
  • 21
    • 0036257624 scopus 로고    scopus 로고
    • EEG signal processing in anesthesia. Use of a neural network technique for monitoring depth of anesthesia
    • Ortolani, O., Conti, A., Di Filippo, A., Adembri, C., Moraldi, E., et al. (2002). EEG signal processing in anesthesia. Use of a neural network technique for monitoring depth of anesthesia. British Journal of Anesthesia, 88(5), 644-648.
    • (2002) British Journal of Anesthesia , vol.88 , Issue.5 , pp. 644-648
    • Ortolani, O.1    Conti, A.2    Di Filippo, A.3    Adembri, C.4    Moraldi, E.5
  • 22
    • 0031959244 scopus 로고    scopus 로고
    • Detection of spikes with artificial neural networks using raw EEG
    • Ozdamar, O., & Kalayci, T. (1998). Detection of spikes with artificial neural networks using raw EEG. Computers and Biomedical Research, 31(2), 122-142.
    • (1998) Computers and Biomedical Research , vol.31 , Issue.2 , pp. 122-142
    • Ozdamar, O.1    Kalayci, T.2
  • 24
    • 0034064555 scopus 로고    scopus 로고
    • Computer based sleep recording and analysis
    • Penzel, T., & Conradt, R. (2000). Computer based sleep recording and analysis. Sleep Medicine Reviews, 4(2), 131-148.
    • (2000) Sleep Medicine Reviews , vol.4 , Issue.2 , pp. 131-148
    • Penzel, T.1    Conradt, R.2
  • 25
    • 0032192407 scopus 로고    scopus 로고
    • Mining multi-channel EEG for information content: An ANN based method for brain computer interface
    • Peters, B. O., Pfurtscheller, G., & Flyvbjerg, H. (1998). Mining multi-channel EEG for information content: An ANN based method for brain computer interface. Neural Networks, 11(7-8), 1429-1433.
    • (1998) Neural Networks , vol.11 , Issue.7-8 , pp. 1429-1433
    • Peters, B.O.1    Pfurtscheller, G.2    Flyvbjerg, H.3
  • 26
    • 0033990625 scopus 로고    scopus 로고
    • Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG
    • Petrosian, A. A., Prokhorov, D., Homan, R., Dasheiff, R., & Wunsch, D. C. (2000). Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG. Neurocomputing, 30(1-4), 201-218.
    • (2000) Neurocomputing , vol.30 , Issue.1-4 , pp. 201-218
    • Petrosian, A.A.1    Prokhorov, D.2    Homan, R.3    Dasheiff, R.4    Wunsch, D.C.5
  • 27
    • 0034923224 scopus 로고    scopus 로고
    • Recurrent neural network-based approach for early recognition of Alzheimer's disease in EEG
    • Petrosian, A. A., Prokhorov, D. V., Lajara-Nanson, W., & Schiffer, R. B. (2001). Recurrent neural network-based approach for early recognition of Alzheimer's disease in EEG. Clinical Neurophysiology, 112(8), 1378-1387.
    • (2001) Clinical Neurophysiology , vol.112 , Issue.8 , pp. 1378-1387
    • Petrosian, A.A.1    Prokhorov, D.V.2    Lajara-Nanson, W.3    Schiffer, R.B.4
  • 29
    • 0030219951 scopus 로고    scopus 로고
    • Detection of seizure activity in EEG by an artificial neural network: A preliminary study
    • Pradhan, N., Sadasivan, P. K., & Arunodaya. (1996). Detection of seizure activity in EEG by an artificial neural network: A preliminary study. Computers and Biomedical Research, 29(4), 303-313.
    • (1996) Computers and Biomedical Research , vol.29 , Issue.4 , pp. 303-313
    • Pradhan, N.1    Sadasivan, P.K.2    Arunodaya3
  • 30
    • 0031029383 scopus 로고    scopus 로고
    • A patient specific algorithm for the detection of seizure onset in long term EEG monitoring: Possible use as a warning device
    • Qu, H., & Gotman, J. (1997). A patient specific algorithm for the detection of seizure onset in long term EEG monitoring: Possible use as a warning device. IEEE Transactions on Biomedical Engineering, 44(2), 115-122.
    • (1997) IEEE Transactions On Biomedical Engineering , vol.44 , Issue.2 , pp. 115-122
    • Qu, H.1    Gotman, J.2
  • 32
    • 0036232561 scopus 로고    scopus 로고
    • Electroencephalogram processing using neural networks
    • Robert, C., Gaudy, J., & Limoge, A. (2002a). Electroencephalogram processing using neural networks. Clinical Neurophysiology, 113(5), 694-701.
    • (2002) Clinical Neurophysiology , vol.113 , Issue.5 , pp. 694-701
    • Robert, C.1    Gaudy, J.2    Limoge, A.3
  • 33
    • 0032548892 scopus 로고    scopus 로고
    • Review of neural network applications in sleep research
    • Robert, C., Guilpin, C., & Limoge, A. (1998). Review of neural network applications in sleep research. Journal of Neuroscience Methods, 79(2), 187-193.
    • (1998) Journal of Neuroscience Methods , vol.79 , Issue.2 , pp. 187-193
    • Robert, C.1    Guilpin, C.2    Limoge, A.3
  • 36
    • 0027514082 scopus 로고
    • Neural network model: Application to automatic analysis of human sleep
    • Schaltenbrand, N., Lengelle, R., & Macher, J. P. (1993). Neural network model: Application to automatic analysis of human sleep. Computers and Biomedical Research, 26(2), 157-171.
    • (1993) Computers and Biomedical Research , vol.26 , Issue.2 , pp. 157-171
    • Schaltenbrand, N.1    Lengelle, R.2    Macher, J.P.3
  • 37
    • 0030069856 scopus 로고    scopus 로고
    • Sleep stage scoring using the neural network model: Comparison between visual and automatic analysis in normal subjects and patients
    • Schaltenbrand, N., Lengelle, R., Toussaint, M., Luthringer, R., Carelli, G., Jacqmin, A., et al. (1996). Sleep stage scoring using the neural network model: Comparison between visual and automatic analysis in normal subjects and patients. Sleep, 19(1), 26-35.
    • (1996) Sleep , vol.19 , Issue.1 , pp. 26-35
    • Schaltenbrand, N.1    Lengelle, R.2    Toussaint, M.3    Luthringer, R.4    Carelli, G.5    Jacqmin, A.6
  • 45
    • 0036900971 scopus 로고    scopus 로고
    • Spike detection: A review and comparison of algorithms
    • Wilson, S. B., & Emerson, R. (2002). Spike detection: A review and comparison of algorithms. Clinical Neurophysiology, 113(12), 1873-1881.
    • (2002) Clinical Neurophysiology , vol.113 , Issue.12 , pp. 1873-1881
    • Wilson, S.B.1    Emerson, R.2
  • 46
    • 0035090998 scopus 로고    scopus 로고
    • Derived fuzzy knowledge model for estimating the depth of anesthesia
    • Zhang, X. S., & Roy, R. J. (2001). Derived fuzzy knowledge model for estimating the depth of anesthesia. IEEE Transactions on Biomedical Engineering, 48(3), 312-323.
    • (2001) IEEE Transactions On Biomedical Engineering , vol.48 , Issue.3 , pp. 312-323
    • Zhang, X.S.1    Roy, R.J.2
  • 47
    • 0034743409 scopus 로고    scopus 로고
    • Discrimination of anesthetic states using mid-latency auditory evoked potentials and artificial neural networks
    • Zhang, X. S., Roy, R. J., Schwender, D., & Daunderer, M. (2001). Discrimination of anesthetic states using mid-latency auditory evoked potentials and artificial neural networks. Annals of Biomedical Engineering, 29(5), 446-453.
    • (2001) Annals of Biomedical Engineering , vol.29 , Issue.5 , pp. 446-453
    • Zhang, X.S.1    Roy, R.J.2    Schwender, D.3    Daunderer, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.