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Volumn , Issue , 2012, Pages 237-240

ECG human identification with statistical support vector machines

Author keywords

ECG; Human identification; SVM

Indexed keywords

BIOLOGICAL INFORMATION; ECG DATA; ECG SIGNALS; HUMAN IDENTIFICATION; PREPROCESS; SVM;

EID: 84866619767     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CMCSN.2012.120     Document Type: Conference Paper
Times cited : (11)

References (23)
  • 3
    • 34249320481 scopus 로고    scopus 로고
    • Human identification system based ECG signal
    • Melbourne, Australia, 21-24 Nov.
    • S. Saechia, J. Koseeyaporn, P. Wardkein, "Human identification system based ECG signal," IEEE Region 10 TENCON 2005, Melbourne, Australia, 21-24 Nov. 2005, pp. 1-4.
    • (2005) IEEE Region 10 TENCON 2005 , pp. 1-4
    • Saechia, S.1    Koseeyaporn, J.2    Wardkein, P.3
  • 12
    • 71349087690 scopus 로고    scopus 로고
    • A qualitative comparison of artificial neural networks and support vector machines in ECG arrhythmias classification
    • M. Moavenian and H. Khorrami, "A qualitative comparison of artificial neural networks and support vector machines in ECG arrhythmias classification," Expert Systems with Application, Vol. 37(4), pp. 3088-3093, 2009.
    • (2009) Expert Systems with Application , vol.37 , Issue.4 , pp. 3088-3093
    • Moavenian, M.1    Khorrami, H.2
  • 13
    • 33644765907 scopus 로고    scopus 로고
    • A support vector machine classifier algorithm based on a perturbation method and its application to ECG beat recognition systems
    • N. Acir, "A support vector machine classifier algorithm based on a perturbation method and its application to ECG beat recognition systems," Expert Systems with Application, Vol. 31(1), pp. 150-158, 2006
    • (2006) Expert Systems with Application , vol.31 , Issue.1 , pp. 150-158
    • Acir, N.1
  • 14
    • 37049020240 scopus 로고    scopus 로고
    • Combined entropy based method for detection of QRS complexes in 12-lead electrocardiogram using SVM
    • January
    • S. S. Mehta and N. S. Lingayat, "Combined entropy based method for detection of QRS complexes in 12-lead electrocardiogram using SVM", Computer Computer in Biology and Medicine, Vol. 38(1), pp 138-145, January 2008.
    • (2008) Computer Computer in Biology and Medicine , vol.38 , Issue.1 , pp. 138-145
    • Mehta, S.S.1    Lingayat, N.S.2
  • 15
    • 61349139381 scopus 로고    scopus 로고
    • SVM-based algorithm for recognition of QRS complexes in electrocardiogram
    • S. S. Mehta and N. S. Lingayat, "SVM-based algorithm for recognition of QRS complexes in electrocardiogram," IRBM, Vol 29(5), pp 310-317, 2008.
    • (2008) IRBM , vol.29 , Issue.5 , pp. 310-317
    • Mehta, S.S.1    Lingayat, N.S.2
  • 16
    • 33947248058 scopus 로고    scopus 로고
    • Detection of ECG arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine
    • K. Polat and S. Gunes, "Detection of ECG arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine," Applied Mathematics and Computation, Vol. 186(1), pp. 898-906, 2007.
    • (2007) Applied Mathematics and Computation , vol.186 , Issue.1 , pp. 898-906
    • Polat, K.1    Gunes, S.2
  • 19
    • 34047269242 scopus 로고    scopus 로고
    • ECG beats classification using multiclass support vector machines with error correcting output codes
    • E. D. Übeyli, "ECG beats classification using multiclass support vector machines with error correcting output codes," Digital Signal Processing, Vol. 17(3), pp.675-784, 2007.
    • (2007) Digital Signal Processing , vol.17 , Issue.3 , pp. 675-784
    • Übeyli, E.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.