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Volumn 3562, Issue PART II, 2005, Pages 538-547

Using fuzzy clustering technique for function approximation to approximate ECG signals

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; DATA ACQUISITION; ERROR ANALYSIS; PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS;

EID: 26444503109     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11499305_55     Document Type: Conference Paper
Times cited : (3)

References (14)
  • 4
    • 0035714483 scopus 로고    scopus 로고
    • An automatic ECG processing algorithm to identify patients prone to paroxysmal atrial fibrillation
    • P. Kastner G. Schreier and W. Marko. An automatic ECG processing algorithm to identify patients prone to paroxysmal atrial fibrillation. Computers in Cardiology, 3:133-136, 2001.
    • (2001) Computers in Cardiology , vol.3 , pp. 133-136
    • Kastner, P.1    Schreier, G.2    Marko, W.3
  • 5
    • 0018491303 scopus 로고
    • Asymptotically optimal block quantization
    • July
    • A. Gersho. Asymptotically Optimal Block Quantization. IEEE Transanctions on Information Theory, 25(4):373-380, July 1979.
    • (1979) IEEE Transanctions on Information Theory , vol.25 , Issue.4 , pp. 373-380
    • Gersho, A.1
  • 10
    • 0000106040 scopus 로고
    • Universal approximation using radial basis functions network
    • J. Park and J. W. Sandberg. Universal approximation using radial basis functions network. Neural Computation, 3:246-257, 1991.
    • (1991) Neural Computation , vol.3 , pp. 246-257
    • Park, J.1    Sandberg, J.W.2
  • 12
    • 0001520365 scopus 로고    scopus 로고
    • Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference proccess
    • I. Rojas, M. Anguita, A. Prieto, and O. Valenzuela. Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference proccess. Int. J. Approximate Reasoning, 19:367-389, 1998.
    • (1998) Int. J. Approximate Reasoning , vol.19 , pp. 367-389
    • Rojas, I.1    Anguita, M.2    Prieto, A.3    Valenzuela, O.4
  • 13
    • 7044233494 scopus 로고    scopus 로고
    • ECG characterization of paroxysmal atrial fibrillation: Parameter extraction and automatic diagnosis algorithm
    • E. Ros, S. Mota, F.J. Fernndez, F.J. Toro, and J.L. Bernier. ECG Characterization of Paroxysmal Atrial Fibrillation: Parameter Extraction and Automatic Diagnosis Algorithm. Computers in Biology and Medicine, 34(8):679-696, 2004.
    • (2004) Computers in Biology and Medicine , vol.34 , Issue.8 , pp. 679-696
    • Ros, E.1    Mota, S.2    Fernndez, F.J.3    Toro, F.J.4    Bernier, J.L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.