DOI: 10.6084/m9.figshare.13695937
title: Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators

description: This repository contains all the raw HD-EMG data, the extracted and the manually edited motor unit spike trains<br><br>Contact:<br>Francois Hug (francois.hug@univ-nantes.fr)<br><br>=================================<br><br>FILE NAME: Experimental_data_raw.zip <br><br>This compressed file contains the raw HDsEMG signals and the motor unit spike trains identified by the automatic decomposition algorithm.<br>Motor units were identified using the DEMUSE tool (v5.01; The University of Maribor, Slovenia)<br><br> [muscle]_[contraction_intensity].mat<br><br>List of "muscle": GM (Gastrocnemius medialis), GL (Gastrocnemius lateralis), TA (Tibialis anterior)<br>List of "contraction_intensity": 10 (10% Maximal voluntary contraction), 30 (30% Maximal voluntary contraction), 50 (50% Maximal voluntary contraction), 70 (70% Maximal voluntary contraction) <br>These files can be opened with Matlab (Mathworks) or the DEMUSE tool. <br>VARIABLES (only the variables used in the manuscript are described below) :<br><br> - DecompRuns: number of decomposition runs (50)<br> - discardChannelsVec: discarded channels for the 13*5 EMG grid (ELSCH064NM2, SpesMedica, Battipaglia). "1" means that the channnel has been discarded due to noise/artifacts. Note that one electrode was absent on a corner [1,1]. <br>- fsamp: sampling rate<br> - IED: inter-electrode distance <br>- IPTs: Innervation Pulse Train (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 cell array): raw EMG signal organised on a 13*5 cell array. Each cell corresponds to an EMG channel.<br> - SIGlength: duration of the signal in seconds<br><br><br>=================================<br><br>FILE NAME: Experimental_data_edited.zip <br><br>This compressed file contains the the motor unit spike trains manually edited by each of the 8 operators.<br>Motor units were analysed using the DEMUSE tool (The University of Maribor, Slovenia) using the approach described in the associated manuscript.<br><br> op[#operator]/[muscle]_[contraction_intensity].mat<br><br>op: operator, numbering is the same as that used in Table 1 of the associated manuscript<br>List of "muscle": GM (Gastrocnemius medialis), GL (Gastrocnemius lateralis), TA (Tibialis anterior)<br>List of "contraction_intensity": 10 (10% Maximal voluntary contraction), 30 or 35 (30% or 35% Maximal voluntary contraction), 50 (50% Maximal voluntary contraction), 70 (70% Maximal voluntary contraction) <br>These files can be opened with Matlab (Mathworks) or the DEMUSE tool. <br>VARIABLES (only the variables used in the manuscript are described below) :<br><br> - DecompRuns: number of decomposition runs (50)<br> - discardChannelsVec: discarded channels for the 13*5 EMG grid (ELSCH064NM2, SpesMedica, Battipaglia). "1" means that the channnel has been discarded due to noise/artifacts. Note that one electrode was absent on a corner [1,1]. <br>- fsamp: sampling rate<br> - IED: inter-electrode distance <br>- IPTs: Innervation Pulse Train (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). These data have been manually edited by the operators.<br> - PNR: Pulse-to-noise ratio for each identified MU <br>- ref_signal: force signal (not calibrated) <br>- SIG (13*5 cell array): raw EMG signal organised on a 13*5 cell array. Each cell corresponds to an EMG channel.<br> - SIGlength: duration of the signal in seconds