Adaptive fuzzy k-NN classifier for EMG s
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Sarbast Rasheed; Daniel Stashuk; Mohamed Kamel
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Article
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2006
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Elsevier Science
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English
โ 609 KB
An adaptive fuzzy k-nearest neighbour classifier (AFNNC) for EMG signal decomposition is presented and evaluated. The developed classifier uses an adaptive assertion-based classification approach for setting a minimum classification threshold. The similarity criterion used for grouping motor unit po