A comparison of neural control of the biarticular gastrocnemius muscles between knee flexion and ankle plantar flexion

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 ([e-mail]) or François Hug ([e-mail]) <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> ----------

本仓库包含所有原始高密度肌电（High-Density Electromyography, HD-EMG）数据、针对每位受试者提取并经人工编辑的运动单元数据，以及研究结果的合成数据集。联系方式：Raphaël Hamard（[e-mail]）或François Hug（[e-mail]）
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文件名：XX_XXX_XXX
此类文件包含每位受试者、每块肌肉及每项任务的原始数据。运动单元已通过DEMUSE工具（v4.9；斯洛文尼亚马里博尔大学）完成识别并经RH人工编辑。
命名规则：[subject_ID]_[subject_number]_[task]_[condition]_[muscle].mat
此类文件可通过Matlab（Mathworks，迈斯沃克公司）或DEMUSE工具打开。
受试者编号：范围为1至22（受试者12因实验期间出现技术故障缺失，未纳入本研究）。
任务类型：1. 膝关节屈曲（KneeFlexion）：等长膝关节屈曲任务，踝关节角度与膝关节角度分别设置为90°与160°；2. 跖屈（PlantarFlexion）：等长踝关节跖屈任务，踝关节角度与膝关节角度分别设置为90°与160°。
负荷条件：20代表最大自主收缩力（Maximum Voluntary Contraction, MVC）的20%；30代表MVC的30%；40代表MVC的40%；50代表MVC的50%。
肌肉类型：GM为腓肠肌内侧头（Gastrocnemius medialis）；GL为腓肠肌外侧头（Gastrocnemius lateralis）。

下文仅介绍论文中用到的变量：
- DecompRuns：分解运行次数（多数文件的运行次数为150或250次）
- discardChannelsVec（13×5或8×4数组）：针对13×5肌电网格（GR08MM1305，意大利OT Bioelettronica公司）的废弃通道数组，数值1代表该通道已被废弃。需注意，13×5肌电网格的[1,1]位置缺少一枚电极。
- fsamp：采样率
- IED：电极间距
- IPTs：神经冲动脉冲序列（Innervation Pulse Train, IPT），即通过gCKC分解技术估算得到的运动单元放电时序序列
- MUPulses（1×运动单元数量数组）：针对每个已识别的运动单元，存储其放电时序的向量（单位：数据点）
- PNR：每个已识别运动单元的脉冲信噪比
- ref_signal：未校准的肌力信号
- SIG（13×5或8×4元胞数组）：按13×5或8×4元胞数组组织的原始肌电信号，每个元胞对应一个肌电通道
- SIGlength：信号持续时长（单位：秒）
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文件名：Processed_motor_units.xlsx
该Excel工作表用于说明包含已处理或未处理运动单元的文件。部分受试者因运动单元数量过少无法纳入分析，因此未对该部分数据进行处理。
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文件名：Results.xlsx
该Excel文档汇总了每位受试者的各项研究结果数据。
各工作表详情如下：
- 工作表"EMG_all_wholeplateau"：展示全网格的归一化平均整流肌电信号
- 工作表"EMG_location"：展示肌电振幅归一化重心的x、y坐标
- 工作表"MU_matching"：展示两项任务中识别出的运动单元数量，以及跨任务匹配的运动单元数量
- 工作表"Discharge rate"：展示平台期内运动单元的平均放电频率
- 工作表"MU_location"：展示动作电位振幅重心的x、y坐标
- 工作表"Within-muscle coherence"：展示肌内相干性分析结果
- 工作表"Between-muscle coherence"：展示肌间相干性分析结果
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