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Volumn 64, Issue 2, 2001, Pages 87-99

Hybrid fuzzy logic committee neural networks for recognition of swallow acceleration signals

Author keywords

Acceleration; Fuzzy logic committee networks; Swallowing

Indexed keywords

BIOMECHANICS; FUZZY SETS; NEURAL NETWORKS; PATTERN RECOGNITION;

EID: 0035255085     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-2607(00)00099-7     Document Type: Article
Times cited : (52)

References (30)
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  • 11
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    • J.P. Morucci, et al. (Eds.), Proceedings of the 14th Annual International Conference of the IEEE-Engineering in Medicine and Bilogy Soc. Paris, France, IEEE Press, Piscatway, NJ
    • (1992) , pp. 1517-1518
    • Palreddy, S.1    Reddy, N.P.2    Green, R.3    Canilang, E.P.4
  • 21
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    • Surface electromyographic characteristics of swallowing in dysphagia secondary to brain stroke
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    • Crary, M.A.1    Baldwin, B.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.