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Volumn 3, Issue 2, 2003, Pages 71-80

Fuzzy-hybrid neural network based ECG beat recognition using three different types of feature sets

Author keywords

Arrhythmia beat recognition; Higher order statistic; Neuro fuzzy networks; Pattern recognition; Wavelet transform

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; CORRELATION COEFFICIENT; ELECTROCARDIOGRAM; HEART ARRHYTHMIA; HUMAN; MATHEMATICAL COMPUTING; PREDICTION; QRS COMPLEX; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; VARIANCE; WAVEFORM;

EID: 4344669532     PISSN: 15678822     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1025515632674     Document Type: Article
Times cited : (12)

References (11)
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    • Dickhaus, H.1    Heinrich, H.2
  • 4
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    • Testing for gaussianity and linearity of a stationary time
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    • Hinich, M.J.1
  • 5
    • 0031238509 scopus 로고    scopus 로고
    • A patient-adaptable ECG beat classifier using a mixture of experts approach
    • Hu YH, Palreddy S, and Tompkins W. A patient-adaptable ECG beat classifier using a mixture of experts approach. IEEE Trans Biomed Eng 44: 891-900, 1997.
    • (1997) IEEE Trans. Biomed. Eng. , vol.44 , pp. 891-900
    • Hu, Y.H.1    Palreddy, S.2    Tompkins, W.3
  • 6
  • 7
    • 0032957206 scopus 로고    scopus 로고
    • Real-time discrimination of ventricular tachyarrhytmia with Fourier-transform neural network
    • Minami K, Nakajima H, and Toyoshima T. Real-time discrimination of ventricular tachyarrhytmia with Fourier-transform neural network. IEEE Trans Biomed Eng 46: 179-185, 1999.
    • (1999) IEEE Trans. Biomed. Eng. , vol.46 , pp. 179-185
    • Minami, K.1    Nakajima, H.2    Toyoshima, T.3
  • 10
    • 0034774017 scopus 로고    scopus 로고
    • 'ECG beat recognition using fuzzy hybrid neural network
    • Osowski S, and Linh TH. 'ECG beat recognition using fuzzy hybrid neural network. IEEE Trans Biomed Eng 48: 1265-1271, 2001.
    • (2001) IEEE Trans. Biomed. Eng. , vol.48 , pp. 1265-1271
    • Osowski, S.1    Linh, T.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.