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Volumn , Issue , 2008, Pages 927-930

Epileptic seizure detection in EEG recordings using phase congruency

Author keywords

[No Author keywords available]

Indexed keywords

NEURODEGENERATIVE DISEASES; NEUROPHYSIOLOGY;

EID: 61849168857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4649306     Document Type: Conference Paper
Times cited : (8)

References (18)
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    • Guler, I.1    Ubeyli, E.D.2
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    • Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
    • K. Polat and S. Gunes, "Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform," Appl. Math. Comput., vol. 32, pp. 625-631, 2007.
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    • Signal classification using wavelet feature extraction and a mixture of expert model
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    • Subasi, A.1
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    • 22244454103 scopus 로고    scopus 로고
    • Monitoring changing dynamics with correlation integrals: Case study of an epileptic seizure
    • D. E. Lerner, "Monitoring changing dynamics with correlation integrals: case study of an epileptic seizure," Physica D, vol. 97, pp. 563-576, 1996.
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    • A patient-specific algorithm for the detection of seizure onset in long-term EEG monitoring: Possible use as a warning device
    • H. Qu and J. Gotman, "A patient-specific algorithm for the detection of seizure onset in long-term EEG monitoring: possible use as a warning device," IEEE Trans. Biomed. Eng., vol. 44, pp. 115-122, 1997.
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    • R. G. Andrzejak, K. Lehnertz, F. Mormann, C. Rieke, P. David, and C. E. Elger, "Indications of nonlinear deterministic and finitedimensional structures in time series of brain electrical activity: Dependence on recording region and brain state," Physical Review E, vol. 64, pp. 061907(1-8), 2001: EEG Data, Available [Online] at http://www.meb.unibonn.de/ epileptologie/science/physik/eegdata.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.