EEGDash/nm000167

Ma等人2020年的运动想象数据集是一个EEG数据集，包含25名健康受试者的375次记录。数据集主要用于视觉运动任务，采样率为1000 Hz，总时长为35.2小时，大小为22.4 GB。数据集采用CC-BY-4.0许可证，可以通过EEGDash或braindecode库加载。数据集的元数据显示，通道数为64（×225）和62（×150），实验模态为视觉，范式类型为运动。

The Motor imagery dataset from Ma et al. 2020 is an EEG dataset containing 375 recordings from 25 healthy subjects. The dataset is primarily used for visual motor tasks, with a sampling rate of 1000 Hz, a total duration of 35.2 hours, and a size of 22.4 GB. The dataset is licensed under CC-BY-4.0 and can be loaded via EEGDash or the braindecode library. Metadata for the dataset indicates 64 (×225) and 62 (×150) channels, an experimental modality of visual, and a paradigm type of motor.