메뉴 건너뛰기




Volumn 7425 LNCS, Issue , 2012, Pages 493-500

Separation of rhythms of EEG signals based on Hilbert-Huang transformation with application to seizure detection

Author keywords

Central tendency measure; EEG rhythms; Epileptic seizure EEG signal; Hilbert Huang transform; Second order difference plot

Indexed keywords

CENTRAL TENDENCY MEASURE; EEG RHYTHMS; EEG SIGNALS; HILBERT HUANG TRANSFORMS; SECOND ORDERS;

EID: 84866039249     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32645-5_62     Document Type: Conference Paper
Times cited : (33)

References (26)
  • 2
    • 0022559354 scopus 로고
    • Quantification of Alpha EEG Modulation and Its Relation to Cerebral Blood Flow
    • Okyere, J.G., Ktonas, P.Y., Meyer, J.S.: Quantification of Alpha EEG Modulation and Its Relation to Cerebral Blood Flow. IEEE Trans. Biomed. Eng. 33, 690-696 (1986)
    • (1986) IEEE Trans. Biomed. Eng. , vol.33 , pp. 690-696
    • Okyere, J.G.1    Ktonas, P.Y.2    Meyer, J.S.3
  • 3
    • 0030025924 scopus 로고    scopus 로고
    • A Review of Parametric Modeling Techniques for EEG Analysis
    • Pardey, J., Roberts, S., Tarassenko, L.: A Review of Parametric Modeling Techniques for EEG Analysis. Med. Eng. Phys. 18, 2-11 (1996)
    • (1996) Med. Eng. Phys. , vol.18 , pp. 2-11
    • Pardey, J.1    Roberts, S.2    Tarassenko, L.3
  • 11
    • 35248825924 scopus 로고    scopus 로고
    • EEG Signal Analysis using FB Expansion and Second-Order Linear TVAR Process
    • Pachori, R.B., Sircar, P.: EEG Signal Analysis using FB Expansion and Second-Order Linear TVAR Process. Signal Process. 88, 415-420 (2008)
    • (2008) Signal Process. , vol.88 , pp. 415-420
    • Pachori, R.B.1    Sircar, P.2
  • 12
    • 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 123, 69-87 (2003)
    • (2003) J. Neurosci. Methods , vol.123 , pp. 69-87
    • Adeli, H.1    Zhou, Z.2    Dadmehr, N.3
  • 13
    • 38749083808 scopus 로고    scopus 로고
    • Automatic Seizure Detection based on Time-Frequency Analysis and Artificial Neural Networks
    • Article ID 80510
    • Tzallas, A.T., Tsipouras, M.G., Fotisdis, D.I.: Automatic Seizure Detection based on Time-Frequency Analysis and Artificial Neural Networks. Comput. Intell. Neurosci., Article ID 80510 (2007)
    • (2007) Comput. Intell. Neurosci.
    • Tzallas, A.T.1    Tsipouras, M.G.2    Fotisdis, D.I.3
  • 14
    • 24144470790 scopus 로고    scopus 로고
    • Recurrent Neural Networks Employing Lyapunov Exponents for EEG Signal Classification
    • Güler, N.F., Übeyli, E.D., Güler, Í.: Recurrent Neural Networks Employing Lyapunov Exponents for EEG Signal Classification. Expert Syst. Appl. 29, 506-514 (2005)
    • (2005) Expert Syst. Appl. , vol.29 , pp. 506-514
    • Güler, N.F.1    Übeyli, E.D.2    Güler, Í.3
  • 15
    • 0031264147 scopus 로고    scopus 로고
    • Use of the Fractal Dimension for the Analysis of Electroencephalographic Time Series
    • Accardo, A., Affinito, M., Carrozzi, M., Bouquet, F.: Use of the Fractal Dimension for the Analysis of Electroencephalographic Time Series. Biol. Cybern. 77, 339-350 (1997)
    • (1997) Biol. Cybern. , vol.77 , pp. 339-350
    • Accardo, A.1    Affinito, M.2    Carrozzi, M.3    Bouquet, F.4
  • 17
    • 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 Syst. Appl. 36, 2027-2036 (2009)
    • (2009) Expert Syst. Appl. , vol.36 , pp. 2027-2036
    • Ocak, H.1
  • 18
    • 78549254986 scopus 로고    scopus 로고
    • Discrimination between Ictal and Seizure-Free EEG Signals using Empirical Mode Decomposition
    • Article ID 293056
    • Pachori, R.B.: Discrimination between Ictal and Seizure-Free EEG Signals using Empirical Mode Decomposition. Res. Lett. Signal Process., Article ID 293056 (2008)
    • (2008) Res. Lett. Signal Process.
    • Pachori, R.B.1
  • 19
    • 80655124711 scopus 로고    scopus 로고
    • Analysis of Normal and Epileptic Seizure EEG Signals using Empirical Mode Decomposition
    • Pachori, R.B., Bajaj, V.: Analysis of Normal and Epileptic Seizure EEG Signals using Empirical Mode Decomposition. Comput. Methods Progr. Biomed. 104, 373-381 (2011)
    • (2011) Comput. Methods Progr. Biomed. , vol.104 , pp. 373-381
    • Pachori, R.B.1    Bajaj, V.2
  • 20
    • 84865980798 scopus 로고    scopus 로고
    • Classification of Seizure and Nonseizure EEG Signals using Empirical Mode Decomposition
    • in press
    • Bajaj, V., Pachori, R.B.: Classification of Seizure and Nonseizure EEG Signals using Empirical Mode Decomposition. IEEE Trans. Inf. Technol. Biomed. (in press, 2012)
    • (2012) IEEE Trans. Inf. Technol. Biomed.
    • Bajaj, V.1    Pachori, R.B.2
  • 21
    • 84861210590 scopus 로고    scopus 로고
    • EEG Signal Classification Using Empirical Mode Decomposition and Support Vector Machine
    • Deep, K., Nagar, A., Pant, M., Bansal, J.C. (eds.) AISC, Springer, Heidelberg
    • Bajaj, V., Pachori, R.B.: EEG Signal Classification Using Empirical Mode Decomposition and Support Vector Machine. In: Deep, K., Nagar, A., Pant, M., Bansal, J.C. (eds.) Proceedings of the International Conf. on SocProS 2011. AISC, vol. 131, pp. 623-635. Springer, Heidelberg (2012)
    • (2012) Proceedings of the International Conf. on SocProS 2011 , vol.131 , pp. 623-635
    • Bajaj, V.1    Pachori, R.B.2
  • 25
  • 26
    • 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
    • Article ID 061907
    • Andrzejak, R.G., Lehnertz, K., Mormann, F., Rieke, C., David, P., Elger C.E.: Indications of Nonlinear Deterministic and Finite-Dimensional Structures in Time Series of Brain Electrical Activity Dependence on Recording Region and Brain State. Phys. Rev. E. 64, Article ID 061907 (2001)
    • (2001) Phys. Rev. E. , vol.64
    • Andrzejak, R.G.1    Lehnertz, K.2    Mormann, F.3    Rieke, C.4    David, P.5    Elger, C.E.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.