A comparison of neural control of the biarticular gastrocnemius muscles between knee flexion and ankle plantar flexion
收藏Figshare2023-06-22 更新2026-04-08 收录
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https://figshare.com/articles/dataset/A_comparison_of_neural_control_of_the_biarticular_gastrocnemius_muscles_between_knee_flexion_and_ankle_plantar_flexion/23266214/1
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This repository contains all the raw HD-EMG data, the extracted and manually edited motor units for each participant and a synthesize of the outcomes. Contact: Raphaël Hamard (raphael.hamard@univ-nantes.fr) or François Hug (francois.hug@univ-cotedazur.fr) <br> ================================= <br> FILE NAME: XX_XXX_XXX These files contain raw data for each participant, each muscle and each task. Motor units were identified and manually edited (RH) using the DEMUSE tool (v4.9; The University of Maribor, Slovenia). <br> [subject_ID]_[subject_number]_[task]_[condition]_[muscle].mat These files can be opened with Matlab (Mathworks) or the DEMUSE tool. <br> Subject_number: 1 to 22 (The subject 12 is missing as we had a technical issue during the experiment. This subject is not considered in the study). Task: KneeFlexion, isometric knee flexion with the ankle angle and the knee angle set at 90° and 160°, respectively; PlantarFlexion, isometric ankle plantar flexion with the ankle angle and the knee angle set at 90° and 160°, respectively. Condition: 20, 20% of MVC; 30, 30% of MVC; 40, 40% of MVC; 50, 50% of MVC. Muscle: GM, Gastrocnemius medialis; GL, Gastrocnemius lateralis. <br> VARIABLES (only the variables used in the manuscript are described below) : - DecompRuns: number of decomposition runs (150 or 250 for most of the files) - discardChannelsVec (13*5 or 8*4 array): discarded channels for the 13*5 EMG grid (GR08MM1305, OT Bioelettronica, Italy). 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 <br> --------- <br> FILE NAME: Processed_motor_units.xlsx <br> This excel sheet describes the files which contain processed or unprocessed motor units. For some participants, the number of motor units was to low to be included in the analysis and we therefore did not processed this data. <br> --------- <br> FILE NAME: Results.xlsx <br> This excel document displays a synthesis of the results for each participant and each outcome.<br> Sheet "EMG_all_wholeplateau": This sheet displays the normalized average rectified EMG over the whole grid. Sheet "EMG_location": This sheet displays the x and y coordinates of the barycenter normalized of the EMG amplitude. Sheet "MU_matching": This sheet displays the number of motor units identified during both tasks and the number of matched motor units across tasks. Sheet "Discharge rate": This sheet displays the average discharge rate of the motor units over the plateau region. Sheet "MU_location": This sheet displays the x and y coordinates of the barycenter of the action potential amplitude. Sheet "Within-muscle coherence": This sheet displays the results of the within-muscle coherence analysis. Sheet "Between-muscle coherence": This sheet displays the results of the between-muscle coherence analysis. <br> ----------
提供机构:
Aeles, Jeroen; Hug, Francois; Dick, Taylor; Avrillon, Simon; Hamard, Raphaël
创建时间:
2023-06-22



