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Media type:
E-Article
Title:
Mixed matrix factorization: a novel algorithm for the extraction of kinematic-muscular synergies
Contributor:
Scano, Alessandro;
Mira, Robert Mihai;
d’Avella, Andrea
imprint:
American Physiological Society, 2022
Published in:Journal of Neurophysiology
Language:
English
DOI:
10.1152/jn.00379.2021
ISSN:
0022-3077;
1522-1598
Origination:
Footnote:
Description:
<jats:p> The mixed matrix factorization (MMF) is a novel method for extracting kinematic-muscular synergies. The previous state of the art algorithm (NMFpn) factorizes separately positive and rectified negative waveforms; the MMF instead employs a gradient descent method to factorize from mixed kinematic unconstrained data and muscular non-negative data. MMF achieves perfect reconstruction on noiseless data, improving the NMFpn. MMF shows promising applicability on real data. </jats:p>