A fusion dimension reduction method for the features of surface electromyographic signals
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Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
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Surface electromyographic signals (sEMG) usually have high-dimensional properties, and direct processing of these data consumes significant computational resources. Dimensionality reduction processing can reduce the dimension of the data and improve…
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