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.
Contact: Francois Hug ([e-mail])

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FILE NAME: IntraCOH.zipThis compressed file contains data used to calculate within-muscle coherence

S[subject_number]_[muscle]_cleaned_ToeNeutral_intraCOH.mat
The files have been created with Matlab 2015b (Mathworks)
Subject_number: 1 to 18
Muscle: GM, Gastrocnemius medialis; GL, Gastrocnemius lateralis; SOL, soleus

VARIABLES:
- firings_new: binary spike trains for each identified motor unit
- ref_signal_new: force signal - Note that this signal is not used for the calculation of coherence

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FILE NAME: Inter_COH_GL-GM.zip
This compressed file contains data used to calculate between-muscle coherence (GL-GM)

S[subject_number]_[muscle]_cleaned_ToeNeutral.mat
The files have been created with Matlab 2015b (Mathworks)

Subject_number: 1 to 18
Muscle: GM, Gastrocnemius medialis; GL, Gastrocnemius lateralis

VARIABLES:
- firings_new: binary spike trains for each identified motor unit
- ref_signal_new: force signal - Note that this signal is not used for the calculation of coherence

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FILE NAME: Inter_COH_GL-SOL.zip
This compressed file contains data used to calculate between-muscle coherence (GL-SOL)

S[subject_number]_[muscle]_cleaned_ToeNeutral.mat
The files have been created with Matlab 2015b (Mathworks)

Subject_number: 1 to 18
Muscle: GL, Gastrocnemius lateralis; SOL, soleus

VARIABLES:
- firings_new: binary spike trains for each identified motor unit
- ref_signal_new: force signal - Note that this signal is not used for the calculation of coherence

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FILE NAME: Inter_COH_GM-SOL.zip
This compressed file contains data used to calculate between-muscle coherence (GM-SOL)

S[subject_number]_[muscle]_cleaned_ToeNeutral.mat
The files have been created with Matlab 2015b (Mathworks)

Subject_number: 1 to 18
Muscle: GM, Gastrocnemius medialis; SOL, soleus

VARIABLES:
- firings_new: binary spike trains for each identified motor unit
- ref_signal_new: force signal - Note that this signal is not used for the calculation of coherence

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FILE NAME: Raw_SX_to_SX.zip
These compressed files contain raw data for each muscle and each condition.
Motor units were identified and manually edited (FH and SA) using the DEMUSE tool (v4.9; The University of Maribor, Slovenia)

S[subject_number]/[subject_ID]_[condition]_[muscle].mat
These files can be opened with Matlab 2015b (Mathworks) or the DEMUSE tool.

Subject_number: 1 to 18
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)
Muscle: GM, Gastrocnemius medialis; GL, Gastrocnemius lateralis; SOL, Soleus

VARIABLES (only the variables used in the manuscript are described below) :
- DecompRuns: number of decomposition runs (50 for most of the files)
- 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].
- fsamp: sampling rate
- IED: inter electrode distance
- IPTs: Innervation Pulse Rrain (IPT, i.e. train of motor unit discharge times as estimated by the gCKC decomposition technique
- MUPulses (1*number of motor units array). For each identified units, there is a vector of motor units discharge times (in datapoint).
- PNR: Pulse-to-noise ratio for each identified MU
- ref_signal: force signal (not calibrated)
- 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.
- SIGlength: duration of the signal in seconds