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On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms

Theis, Fabian J. ; García, G. A.



Abstract

The previous termdecomposition of surface electromyogramnext term data sets (s-EMG) is studied using blind source separation techniques based on sparseness; namely independent component previous termanalysis, sparsenext term nonnegative matrix factorization, and previous termsparsenext term component previous termanalysis.next term When applied to artificial previous termsignalsnext term we find ...

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