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Volumn 1, Issue 3, 2003, Pages 368-375

Suction detection in left ventricular assist system: Data fusion approach

Author keywords

Data fusion system; Left ventricular assist system; Load coefficient; Neural fuzzy system; Suction detection

Indexed keywords

CARDIOVASCULAR SYSTEM; FLOW OF FLUIDS; FUZZY SETS; IMPLANTS (SURGICAL); NEURAL NETWORKS; PRESSURE EFFECTS; PUMPS; SENSOR DATA FUSION;

EID: 4544337462     PISSN: 15986446     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (15)
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    • Choi, S.1    Antaki, J.F.2    Boston, J.R.3    Thomas, D.4
  • 6
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  • 11
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    • (1997) IEEE Trans. on Fuzzy Systems , vol.5 , pp. 249-255
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  • 12
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference systems
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  • 13
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    • Albuquerque, NM
    • S. Choi, J. R. Boston, D. Thomas, and J. F. Antaki, "Modeling and identification of an axial flow blood pump," Proc. of America Control Conference, vol. 6, pp. 3714-3715, Albuquerque, NM, 1997.
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    • Parameters identification of a load-motor set for energy conservation: Dynamic analysis
    • Orlando, Florida
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    • Santos, A.H.M.1    Bortini, E.C.2    Diefrich, E.K.3
  • 15
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    • A permanent magnet motor drive without a shaft sensor
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.