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Volumn , Issue , 2006, Pages 2175-2178

Reducing the number of channels for an ambulatory patient-specific EEG-based epileptic seizure detector by applying recursive feature elimination

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRODES; FEATURE EXTRACTION; PATIENT MONITORING; SIGNAL PROCESSING;

EID: 34047138978     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260180     Document Type: Conference Paper
Times cited : (9)

References (6)
  • 1
    • 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
    • Feb;
    • 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. 1997 Feb;44(2).
    • (1997) IEEE Trans Biomed Eng , vol.44 , Issue.2
    • Qu, H.1    Gotman, J.2
  • 5
    • 0026966646 scopus 로고
    • A training algorithm for optimal margin classifiers
    • D. Haussler, editor, Pittsburgh, PA, ACM Press
    • B. E. Boser, I. M. Guyon, and V. N. Vapnik. A training algorithm for optimal margin classifiers. In D. Haussler, editor, 5th Annual ACM Workshop on COLT, pages 144-152, Pittsburgh, PA, 1992. ACM Press.
    • (1992) 5th Annual ACM Workshop on COLT , pp. 144-152
    • Boser, B.E.1    Guyon, I.M.2    Vapnik, V.N.3
  • 6
    • 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 46:389-422, 2002.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.