ISRMyo-I

The published sEMG database was captured by the Intelligent System and Biomedical Robotics Group at University of Portsmouth, leaded by Prof. Honghai Liu. Six subjects were volunteered for data capturing, and the sEMG data were captured in ten separate days. We manually separated the whole database into two parts: training dataset (the first 7 days) and testing dataset(the last 3 days). For each subject, two folders exist, one for training and the other for test. The current folder contains 12 sub-folder titled as train_xxxx and test_xxxx, where xxxx indicates the name of the subjects. The train_xxxx folder contains 16 files with segmented raw sEMG signal (i.e. Cxx_train.txt, where xx is the number of channel), feature file (X.txt, where TDAR feature were extracted) and label file (i.e y.txt). The test_xxxx folder contains 16 files with segmented raw sEMG signal (i.e. Cxx_test.txt, where xx is the number of channel), feature file (X.txt, where TDAR feature were extracted) and label file (i.e. y.txt).

该公开发布的表面肌电图（sEMG）数据库由朴次茅斯大学智能系统与生物医学机器人研究小组采集，该小组由刘宏海教授领导。六名志愿者参与了数据采集工作，sEMG数据在十个不同的日子内被采集。我们人工将整个数据库划分为两部分：训练数据集（前7天）和测试数据集（后3天）。对于每位志愿者，存在两个文件夹，一个用于训练，另一个用于测试。当前文件夹包含12个子文件夹，分别命名为train_xxxx和test_xxxx，其中xxxx表示志愿者的姓名。train_xxxx文件夹包含16个文件，包括分割后的原始sEMG信号文件（即Cxx_train.txt，其中xx为通道数）、特征文件（X.txt，其中提取了TDAR特征）和标签文件（即y.txt）。test_xxxx文件夹包含16个文件，包括分割后的原始sEMG信号文件（即Cxx_test.txt，其中xx为通道数）、特征文件（X.txt，其中提取了TDAR特征）和标签文件（即y.txt）。