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Volumn 36, Issue 4, 1998, Pages 485-489

Feature-based classification of myoelectric signals using artificial neural networks

Author keywords

Artificial neural networks; Feature extraction; Myoelectric signal

Indexed keywords

FEATURE EXTRACTION; MUSCLE; NEURAL NETWORKS; SPECTRUM ANALYSIS; STATISTICAL METHODS;

EID: 0032128290     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02523219     Document Type: Article
Times cited : (43)

References (12)
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  • 2
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    • A new strategy for multifunction myoelectric control
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  • 5
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    • A neural network for feature extraction
    • INTRATOR, N. (1990): 'A neural network for feature extraction,' Adv. Neural Inf. Prac. Syst., 2, pp. 719-726
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  • 6
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    • Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions
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  • 7
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    • Intrator, N.1    Tajchman, G.2
  • 8
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    • The application of neural networks to myoelectric signal analysis: A preliminary study
    • KELLY, M. F., PARKER, P. A. and SCOTT, R. N. (1990): 'The application of neural networks to myoelectric signal analysis: a preliminary study,' IEEE Trans., BME-37, pp. 221-230
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    • Kelly, M.F.1    Parker, P.A.2    Scott, R.N.3
  • 9
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    • April
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  • 10
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    • Signal processing for the multistate myoelectric channel
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.