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- W2189244017 abstract "This paper deals with the online decomposition of intramuscular electromyographic (iEMG) signals. A Markov model is proposed, which takes into account a varying number of firing motor neurons. A Bayes filter detects online the firing motor units by using a dictionary of approximated motor unit action potentials waveforms, and estimates precisely the action potential shapes and the respective firing rates. The method was tested on both simulated and experimental signals." @default.
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- W2189244017 date "2014-01-01" @default.
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- W2189244017 title "Online Intramuscular EMG Decomposition with Varying Number of Active Motor Units" @default.
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