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Volumn , Issue , 2010, Pages 3281-3284

Speech recognition features for EEG signal description in detection of neonatal seizures

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; EEG SIGNALS; FEATURE SETS; NEONATAL SEIZURE; RECOGNITION FEATURES; RECURSIVE FEATURE ELIMINATION; SPECTRAL ENVELOPES;

EID: 78650807747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627260     Document Type: Conference Paper
Times cited : (14)

References (12)
  • 4
    • 36549062615 scopus 로고    scopus 로고
    • A multistage knowledge-based system for EEG seizure detection in newborn infants
    • A. Aarabi, R. Grebe, and F. Wallois, "A multistage knowledge-based system for EEG seizure detection in newborn infants", Clinical Neurophysiology, v. 118, 2007.
    • (2007) Clinical Neurophysiology , vol.118
    • Aarabi, A.1    Grebe, R.2    Wallois, F.3
  • 8
    • 85135144525 scopus 로고
    • On the decorrelation of filter-bank energies in speech recognition
    • C. Nadeu, J. Hernando, and M. Gorricho, "On the decorrelation of filter-bank energies in speech recognition", Proc. Eurospeech, 1995.
    • (1995) Proc. Eurospeech
    • Nadeu, C.1    Hernando, J.2    Gorricho, M.3
  • 10
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik, "Gene selection for cancer classification using support vector machines", Machine Learning, v. 46, 2002.
    • (2002) Machine Learning , vol.46
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.