Data for the preprint 'The volitional control of individual motor units is constrained within low-dimensional manifolds by common inputs'

Data for the preprint 'The volitional control of individual motor units is constrained within low-dimensional manifolds by common inputs' (https://www.biorxiv.org/content/10.1101/2024.01.05.573816v1) by Rossato et al.Each file comprises:the raw EMG signals recorded from the Gastrocnemii (GM) muscles or the Vastii (VL) muscles with grids of 64 surface electrodesthe force, the target, and the path followed by the participant during the online tasksthe parameters of the EMG decompositionthe output of the automatic decomposition (motor unit pulse trains and series of discharge times)the edited version of motor unit pulse trains and series of discharge timesThe files are compatible with the application MUedit (https://github.com/simonavrillon/MUedit) for visualisation and manual edition of the motor unit discharge times. For more information about the content of the files and the different variables, have a look at the user manual of MUedit.

本数据集配套Rossato等人发表的预印本论文《共同输入通过低维流形约束单个运动单位的意志控制》（https://www.biorxiv.org/content/10.1101/2024.01.05.573816v1）。每个数据文件包含如下内容：采用64通道表面电极网格记录的腓肠肌（Gastrocnemii, GM）或股四头肌（Vastii, VL）原始肌电（electromyography, EMG）信号；在线任务中受试者产生的肌力、任务目标轨迹及实际运动路径；肌电分解相关参数；自动分解得到的输出结果，即运动单位（motor unit）脉冲序列与放电时间序列；经编辑处理后的运动单位脉冲序列与放电时间序列。本数据集的文件可兼容用于可视化及手动编辑运动单位放电时间的工具MUedit（https://github.com/simonavrillon/MUedit）。如需了解更多文件内容与各类变量的详细信息，请参阅MUedit的用户手册。