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- W1989099654 abstract "We present an interactive software package for implementing the supervised classification task during electromyographic (EMG) signal decomposition process using a fuzzy k-NN classifier and utilizing the MATLAB high-level programming language and its interactive environment. The method employs an assertion-based classification that takes into account a combination of motor unit potential (MUP) shapes and two modes of use of motor unit firing pattern information: the passive and the active modes. The developed package consists of several graphical user interfaces used to detect individual MUP waveforms from a raw EMG signal, extract relevant features, and classify the MUPs into motor unit potential trains (MUPTs) using assertion-based classifiers." @default.
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- W1989099654 date "2008-01-01" @default.
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- W1989099654 title "A software package for interactive motor unit potential classification using fuzzy k-NN classifier" @default.
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- W1989099654 doi "https://doi.org/10.1016/j.cmpb.2007.10.006" @default.
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