The present work analyzes the results yielded by four of the most used matrix factoring techniques (PCA, ICA, NNMF, SOBI) using electromyography signals. The results suggest that the PCA is the technique that best managed to reconstruct the EMG signals after their factorization, with a virtually zero relative error. The SOBI technique also yielded satisfactory results, followed by NNMF and finally ICA, which presented a reconstructed signal quite different from the original.

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Recommended citation: Nunes, P. F.; Ostan I.; Siqueira, A.A.G. (2019). Analysis of Matrix Factorization Techniques for Extraction of Motion Motor Primitives. To be published on Proceedings of the International Federation for Medical and Biological Engineering (IFMBE). (2020).’