메뉴 건너뛰기




Volumn 50, Issue 5, 2003, Pages 594-602

Efficient Estimation of a Time-Varying Dimension Parameter and Its Application to EEG Analysis

Author keywords

Dimension; EEG; efficient; epilepsy; nonlinear

Indexed keywords

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVALUATION; HUMAN; METHODOLOGY; NONLINEAR SYSTEM; PATHOPHYSIOLOGY; QUALITY CONTROL; REPRODUCIBILITY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICS; TEMPORAL LOBE EPILEPSY; VALIDATION STUDY;

EID: 0037562839     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2003.810691     Document Type: Article
Times cited : (14)

References (35)
  • 2
  • 3
    • 0032055866 scopus 로고    scopus 로고
    • Segmentation and classification of EEG during epileptic seizures
    • L. Wu and J. Gotman, “Segmentation and classification of EEG during epileptic seizures,” Electroencephalogr. Clin. Neurophysiol., vol. 106, pp. 344-356, 1998.
    • (1998) Electroencephalogr. Clin. Neurophysiol. , vol.106 , pp. 344-356
    • Wu, L.1    Gotman, J.2
  • 7
    • 0032101235 scopus 로고    scopus 로고
    • Seizure detection of newborn EEG using a model-based approach
    • June
    • M. Roessgen, A. M. Zoubir, and B. Boashash, “Seizure detection of newborn EEG using a model-based approach,” IEEE Trans. Biomed. Eng., vol. 45, pp. 673-685, June 1998.
    • (1998) IEEE Trans. Biomed. Eng. , vol.45 , pp. 673-685
    • Roessgen, M.1    Zoubir, A.M.2    Boashash, B.3
  • 8
    • 0019784725 scopus 로고
    • On the prediction of epileptic seizures
    • Z. Rogowski, I. Gath, and E. Bental, “On the prediction of epileptic seizures,” Biol. Cybern, vol. 42, pp. 9-15, 1981.
    • (1981) Biol. Cybern , vol.42 , pp. 9-15
    • Rogowski, Z.1    Gath, I.2    Bental, E.3
  • 9
    • 0032169619 scopus 로고    scopus 로고
    • Prediction of epileptic seizures from two-channel EEG
    • Y. Salant, I. Gath, and O. Henriksen, “Prediction of epileptic seizures from two-channel EEG,” Med. Biol. Eng. Comput., vol. 36, pp. 549-556, 1998.
    • (1998) Med. Biol. Eng. Comput. , vol.36 , pp. 549-556
    • Salant, Y.1    Gath, I.2    Henriksen, O.3
  • 11
    • 0035041539 scopus 로고    scopus 로고
    • When do epileptic seizures really begin?
    • M. J. McKeown and J. O. McNamara, “When do epileptic seizures really begin?,” Neuron, vol. 30, pp. 1-9, 2001.
    • (2001) Neuron , vol.30 , pp. 1-9
    • McKeown, M.J.1    McNamara, J.O.2
  • 13
    • 0001649501 scopus 로고    scopus 로고
    • Can epileptic seizure be predicted? Ev idence from nonlinear time series analysis of brain electrical activity
    • K. Lehnertz and C. E. Elger, “Can epileptic seizure be predicted? Ev idence from nonlinear time series analysis of brain electrical activity,” Phys. Rev. Lett., vol. 80, no. 22, pp. 5019-5022, 1998.
    • (1998) Phys. Rev. Lett. , vol.80 , Issue.22 , pp. 5019-5022
    • Lehnertz, K.1    Elger, C.E.2
  • 15
    • 0033167719 scopus 로고    scopus 로고
    • Test for low-dimensional deter minism in electroencephalograms
    • J. Jeong, M. S. Kim, and S. Y. Kim, “Test for low-dimensional deter minism in electroencephalograms,” Phys. Rev. E, vol. 60, no. 1, pp. 831-837, 1999.
    • (1999) Phys. Rev. E , vol.60 , Issue.1 , pp. 831-837
    • Jeong, J.1    Kim, M.S.2    Kim, S.Y.3
  • 17
    • 0000418266 scopus 로고
    • Tutorial on neurobiology: from single neurons to brain chaos
    • W. J. Freeman, “Tutorial on neurobiology: from single neurons to brain chaos,” Int. J. Bifurcation Chaos, vol. 2, no. 3, pp. 451-482, 1992.
    • (1992) Int. J. Bifurcation Chaos , vol.2 , Issue.3 , pp. 451-482
    • Freeman, W.J.1
  • 18
    • 0025982346 scopus 로고
    • Predictability of human EEG: A dynam ical approach
    • D. Gallez and A. Babloyantz, “Predictability of human EEG: A dynam ical approach,” Biol. Cybern., vol. 64, pp. 381-391, 1991.
    • (1991) Biol. Cybern. , vol.64 , pp. 381-391
    • Gallez, D.1    Babloyantz, A.2
  • 19
    • 0003723595 scopus 로고    scopus 로고
    • Is nolinearity evident in time series of brain electrical ac tivity?
    • T. Schreiber, “Is nolinearity evident in time series of brain electrical ac tivity?,” in Proc. Workshop Chaos in Brain?, 1999, pp. 13-22.
    • (1999) Proc. Workshop Chaos in Brain? , pp. 13-22
    • Schreiber, T.1
  • 21
    • 0029000958 scopus 로고
    • Looking for chaos in brain slices
    • P. G. Aitken, T. Sauer, and S. J. Schiff, “Looking for chaos in brain slices,” J. Neurosci., vol. 59, pp. 41-48, 1995.
    • (1995) J. Neurosci. , vol.59 , pp. 41-48
    • Aitken, P.G.1    Sauer, T.2    Schiff, S.J.3
  • 22
    • 0030200521 scopus 로고    scopus 로고
    • Detection of seizures from small samples using nonlinear dynamic system theory
    • July
    • I. Yaylali, H. Koçak, and P. Jayakar, “Detection of seizures from small samples using nonlinear dynamic system theory,” IEEE Trans. Biomed. Eng., vol. 43, pp. 743-751, July 1996.
    • (1996) IEEE Trans. Biomed. Eng. , vol.43 , pp. 743-751
    • Yaylali, I.1    Koçak, H.2    Jayakar, P.3
  • 23
    • 0030186511 scopus 로고    scopus 로고
    • Surrogate data analysis of sleep electroencephalograms reveals evidence for nonlinearity
    • J. Fell, J. Röschke, and C. Schäffner, “Surrogate data analysis of sleep electroencephalograms reveals evidence for nonlinearity,” Biol. Cybern., vol. 75, pp. 85-92, 1996.
    • (1996) Biol. Cybern. , vol.75 , pp. 85-92
    • Fell, J.1    Röschke, J.2    Schäffner, C.3
  • 24
    • 0026285112 scopus 로고
    • Non-linear and linear forecasting of the EEG time series
    • K. J. Blinowska and M. Malinowski, “Non-linear and linear forecasting of the EEG time series,” Biol. Cybern., vol. 66, pp. 159-165, 1991.
    • (1991) Biol. Cybern. , vol.66 , pp. 159-165
    • Blinowska, K.J.1    Malinowski, M.2
  • 25
    • 0034078229 scopus 로고    scopus 로고
    • Spatio-temporal characterizations of non linear changes in intracranial activities prior to human temporal lobe seizures
    • M. Le Van Quyen, C. Adam, M. Baulac, J. Martinerie, M. Baulac, S. Clémenceau, and F. J. Varela, “Spatio-temporal characterizations of non linear changes in intracranial activities prior to human temporal lobe seizures,” Eur. J. Neurosci., vol. 12, pp. 2124-2134, 2000.
    • (2000) Eur. J. Neurosci. , vol.12 , pp. 2124-2134
    • Le Van Quyen, M.1    Adam, C.2    Baulac, M.3    Martinerie, J.4    Baulac, M.5    Clémenceau, S.6    Varela, F.J.7
  • 26
    • 0000116240 scopus 로고
    • Attractor dimension of nonstationary dynamical systems from small data sets
    • J. W. Havstad and C. L. Ehlers, “Attractor dimension of nonstationary dynamical systems from small data sets,” Phys. Rev. A, vol. 39, no. 2, pp. 845-853, 1989.
    • (1989) Phys. Rev. A , vol.39 , Issue.2 , pp. 845-853
    • Havstad, J.W.1    Ehlers, C.L.2
  • 27
    • 0002163879 scopus 로고
    • On some problems encountered in the estimation of the correlation dimension of the EEG
    • I. Dvorak and J. Siska, “On some problems encountered in the estimation of the correlation dimension of the EEG,” Phys. Lett. A, vol. 118, no. 2, pp. 63-66, 1986.
    • (1986) Phys. Lett. A , vol.118 , Issue.2 , pp. 63-66
    • Dvorak, I.1    Siska, J.2
  • 28
    • 85008005030 scopus 로고    scopus 로고
    • Prediction of epileptic seizures from depth EEG signals
    • Southampton, U.K.
    • S. V. Notley, “Prediction of epileptic seizures from depth EEG signals,” Ph.D. dissertation, Univ. Southampton, Southampton, U.K., 2002.
    • (2002) Ph.D. dissertation, Univ. Southampton
    • Notley, S.V.1
  • 29
    • 44049117207 scopus 로고
    • Fundamental limitations for estimating dimensions and lyapunov exponents in dynamical systems
    • J. P. Eckmann and D. Ruelle, “Fundamental limitations for estimating dimensions and lyapunov exponents in dynamical systems,” Physica D, vol. 56, pp. 185-197, 1992.
    • (1992) Physica D , vol.56 , pp. 185-197
    • Eckmann, J.P.1    Ruelle, D.2
  • 30
    • 33646981873 scopus 로고
    • Characterization of strange attractors
    • P. Grassberger and I. Procaccia, “Characterization of strange attractors,” Phys. Rev. Lett., vol. 50, no. 5, pp. 346-349, 1983.
    • (1983) Phys. Rev. Lett. , vol.50 , Issue.5 , pp. 346-349
    • Grassberger, P.1    Procaccia, I.2
  • 32
    • 0000536480 scopus 로고
    • Dimension measurement on high-dimensional sys tems
    • N. A. Gershenfeld, “Dimension measurement on high-dimensional sys tems,” Physica D, vol. 55, pp. 135-154, 1992.
    • (1992) Physica D , vol.55 , pp. 135-154
    • Gershenfeld, N.A.1
  • 33
    • 0000899534 scopus 로고
    • Generalizations of the hausdorff dimension of fractal measures
    • P. Grassberger, “Generalizations of the hausdorff dimension of fractal measures,” Phys. Lett. A, vol. 107A, no. 3, pp. 101-105, 1985.
    • (1985) Phys. Lett. A , vol.107A , Issue.3 , pp. 101-105
    • Grassberger, P.1
  • 34
    • 85008043618 scopus 로고    scopus 로고
    • Surrogate data for nonstationary signals
    • K. Lehnertz, J. Arnhold, P. Grass berger, and C. E. Elger, Eds. Singapore: World Scientific
    • A. Schmitz and T. Schreiber, “Surrogate data for nonstationary signals,” in Workshop on Chaos in Brain?, K. Lehnertz, J. Arnhold, P. Grass berger, and C. E. Elger, Eds. Singapore: World Scientific, 1999, pp. 222-225.
    • (1999) Workshop on Chaos in Brain? , pp. 222-225
    • Schmitz, A.1    Schreiber, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.