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Volumn 7 VOLS, Issue , 2005, Pages 3864-3867

Cardiac state diagnosis using adaptive neuro-fuzzy technique

Author keywords

Adaptive neuro fuzzy inference system; Heart rate; LLE; SD1 SD2; SE

Indexed keywords

DIAGNOSIS; DISEASES; FUZZY SETS; INFERENCE ENGINES; NEURAL NETWORKS;

EID: 33846928022     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2005.1615304     Document Type: Conference Paper
Times cited : (15)

References (8)
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    • I. Mohamed, H. Owis Ahmed, Abou-Bakr, Abou Zied, M. Youssef and M. Yasser Kadah, Study of features on nonlinear dynamical modeling in ECG arrhythmia detection and classification, IEEE Transactions on Biomedical Engineering, 49(7), pp.733-736, 2002.
    • I. Mohamed, H. Owis Ahmed, Abou-Bakr, Abou Zied, M. Youssef and M. Yasser Kadah, "Study of features on nonlinear dynamical modeling in ECG arrhythmia detection and classification," IEEE Transactions on Biomedical Engineering, vol.49(7), pp.733-736, 2002.
  • 4
    • 0027601884 scopus 로고
    • ANFIS - Adaptive-network-based neuro-fuzzy inference systems
    • JS. Jang Roger, "ANFIS - Adaptive-network-based neuro-fuzzy inference systems," IEEE Transactions on Systems, Man, and Cybernetics, vol.20(03), pp. 665-685, 1993.
    • (1993) IEEE Transactions on Systems, Man, and Cybernetics , vol.20 , Issue.3 , pp. 665-685
    • Jang Roger, J.S.1
  • 5
    • 85086796354 scopus 로고    scopus 로고
    • rd edition, Harward-MIT Division of Health Science Technology, Biomedical Medical Centre, MA, USA, 1997.
    • rd edition, Harward-MIT Division of Health Science Technology, Biomedical Medical Centre, MA, USA, 1997.
  • 6
    • 43949166788 scopus 로고
    • A practical method for calculating largest Lyapunov exponents from small data sets
    • M. Rosenstein, JJ. Collins and CJ. De Luca, "A practical method for calculating largest Lyapunov exponents from small data sets," Physica D, vol.65, pp. 117-134, 1993.
    • (1993) Physica D , vol.65 , pp. 117-134
    • Rosenstein, M.1    Collins, J.J.2    De Luca, C.J.3
  • 7
    • 0032171718 scopus 로고    scopus 로고
    • Stochastic Complexity Measures for Physiological Signal Analysis
    • IA. Rezek and SJ. Roberts, "Stochastic Complexity Measures for Physiological Signal Analysis," IEEE Transactions on Biomedical Engineering, vol.44, pp.1186-1191, 1998.
    • (1998) IEEE Transactions on Biomedical Engineering , vol.44 , pp. 1186-1191
    • Rezek, I.A.1    Roberts, S.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.