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Modular organization of the murine locomotor pattern in the presence and absence of sensory feedback from muscle spindles - MaRDI portal

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Modular organization of the murine locomotor pattern in the presence and absence of sensory feedback from muscle spindles

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(Redirected from Dataset:6681100)



DOI10.5281/zenodo.3785073Zenodo3785073MaRDI QIDQ6681100

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 4 May 2020

Copyright license: No records found.



Description

In this study, we made use of non-negative matrix factorization (NMF) to extract muscle synergies from electromyographic (EMG) data. We implemented the NMF algorithm in R version 3.5.1 (R Foundation for Statistical Computing, R Core Team, Vienna, Austria), a programming language available in a free software environment. However, even if the software does not require a paid license, often researchers are either not confident with or prefer not to spend time writing the code required to perform NMF. We make available, as we recently did with human data (Santuz et al., 2018), an example open access data set of EMG and muscle synergy data for murine walking and swimming. The data presented in this supplementary information part is available in three formats: 1) the raw EMG of two example trials (one recorded during walking and the other during swimming in a wild type animal, six muscles), unprocessed together with the touchdown and lift-off timings of the recorded limb for walking and the cycle timings for swimming; 2) the filtered and time-normalized EMG and 3) the muscle synergies extracted via NMF. Moreover, we provide the R code for obtaining the results described in the previous three points. We do not report any metadata, since trials are relative to a single representative animal. The R code is profusely commented.






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