Muscles from the same muscle group do not necessarily share common drive: evidence from the human triceps surae

This repository contains all the raw HD-EMG data, the extracted and manually edited motor units (n=2096), and the binary spike trains used to calculate the within- and between-muscle coherence.<br>Contact: Francois Hug ([e-mail])<br><br>=================================<br><br>FILE NAME: IntraCOH.zipThis compressed file contains data used to calculate within-muscle coherence<br><br>S[subject_number]_[muscle]_cleaned_ToeNeutral_intraCOH.mat<br>The files have been created with Matlab 2015b (Mathworks)<br>Subject_number: 1 to 18<br>Muscle: GM, Gastrocnemius medialis; GL, Gastrocnemius lateralis; SOL, soleus <br><br>VARIABLES:<br>- firings_new: binary spike trains for each identified motor unit<br>- ref_signal_new: force signal - Note that this signal is not used for the calculation of coherence<br><br>---------<br><br>FILE NAME: Inter_COH_GL-GM.zip<br>This compressed file contains data used to calculate between-muscle coherence (GL-GM)<br><br>S[subject_number]_[muscle]_cleaned_ToeNeutral.mat<br>The files have been created with Matlab 2015b (Mathworks)<br><br>Subject_number: 1 to 18<br>Muscle: GM, Gastrocnemius medialis; GL, Gastrocnemius lateralis<br><br>VARIABLES:<br>- firings_new: binary spike trains for each identified motor unit<br>- ref_signal_new: force signal - Note that this signal is not used for the calculation of coherence<br><br>---------<br><br>FILE NAME: Inter_COH_GL-SOL.zip<br>This compressed file contains data used to calculate between-muscle coherence (GL-SOL)<br><br>S[subject_number]_[muscle]_cleaned_ToeNeutral.mat<br>The files have been created with Matlab 2015b (Mathworks)<br><br>Subject_number: 1 to 18<br>Muscle: GL, Gastrocnemius lateralis; SOL, soleus <br><br>VARIABLES:<br>- firings_new: binary spike trains for each identified motor unit<br>- ref_signal_new: force signal - Note that this signal is not used for the calculation of coherence<br><br>---------<br><br>FILE NAME: Inter_COH_GM-SOL.zip<br>This compressed file contains data used to calculate between-muscle coherence (GM-SOL)<br><br>S[subject_number]_[muscle]_cleaned_ToeNeutral.mat<br>The files have been created with Matlab 2015b (Mathworks)<br><br>Subject_number: 1 to 18<br>Muscle: GM, Gastrocnemius medialis; SOL, soleus <br><br>VARIABLES:<br>- firings_new: binary spike trains for each identified motor unit<br>- ref_signal_new: force signal - Note that this signal is not used for the calculation of coherence<br><br>----------<br><br>FILE NAME: Raw_SX_to_SX.zip<br>These compressed files contain raw data for each muscle and each condition.<br>Motor units were identified and manually edited (FH and SA) using the DEMUSE tool (v4.9; The University of Maribor, Slovenia)<br><br>S[subject_number]/[subject_ID]_[condition]_[muscle].mat<br>These files can be opened with Matlab 2015b (Mathworks) or the DEMUSE tool.<br><br>Subject_number: 1 to 18<br>Condition: 10, isometric plantarflexion at 10% of MVC; 30, isometric plantarflexion at 30% of MVC; 50, isometric plantarflexion at 50% of MVC; ToeNeutral, Standing heel raise; ToeIn, Standing heel raise with toes in (see the manuscript for more details) <br>Muscle: GM, Gastrocnemius medialis; GL, Gastrocnemius lateralis; SOL, Soleus <br><br>VARIABLES (only the variables used in the manuscript are described below) :<br>- DecompRuns: number of decomposition runs (50 for most of the files)<br>- discardChannelsVec (13*5 or 8*4 array): discarded channels for the 13*5 EMG grid (ELSCH064NM2, SpesMedica, Battipaglia; for GM and GL) or the 8*4 EMG grid (GR10MM0804, SpesMedica, Battipaglia; for SOL). 1 means that the channnel has been discarded. Note that the 13*5 EMG grid, one electrode was absent on a corner [1,1].<br>- fsamp: sampling rate<br>- IED: inter electrode distance <br>- IPTs: Innervation Pulse Rrain (IPT, i.e. train of motor unit discharge times as estimated by the gCKC decomposition technique<br>- MUPulses (1*number of motor units array). For each identified units, there is a vector of motor units discharge times (in datapoint).<br>- PNR: Pulse-to-noise ratio for each identified MU<br>- ref_signal: force signal (not calibrated)<br>- SIG (13*5 or 8*4 cell array): raw EMG signal organised on a 13*5 or 8*4 cell array. Each cell corresponds to an EMG channel.<br>- SIGlength: duration of the signal in seconds<br><br>