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Dataset underlying the paper Generating variability from motor primitives during infant locomotor development

<p>EMG data after basic preprocessing</p> <p>Each file is a matrix of M colomns and S*T raws with :</p> <p>M = number of muscles (from m1 to m10: right Rectus Femoris, left Rectus Femoris, right Tibialis Anterior, left Tibialis Anterior, right Biceps Femoris, left Biceps Femoris, right Soleus, left Soleus, right Gluteus Medius, left Gluteus Medius).</p> <p>S = number of steps (specific to each file)</p> <p>T = number of time points per step (always equals to 200)</p> <p>&nbsp;</p> <p>File names are ordered as follows:</p> <p>inputMat_S{subjectnumber}_C{conditionnumber}_a{agenumber}_200bins_10muscles</p> <p>subject number car take values between 1 and 18</p> <p>condition number can take the following values: 1 for stepping on a treadmill, 2 for stepping overground, 4 for kicking and 5 for walking&nbsp;</p> <p>age number can take the following values: 1 for around birth, 2 for around three months, 4 for around walking onset</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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