EEGDash/nm000145

慕尼黑运动想象数据集是一个关于脑电图（EEG）的数据集，专门用于研究视觉运动想象。数据集包含10名健康受试者的10次记录，每次记录使用128个通道，采样率为500Hz。数据集总时长为8.4小时，磁盘大小为5.4GB。数据集采用CC-BY-4.0许可，主要用于脑机接口、神经科学等领域的研究。数据集可以通过EEGDash工具或直接从Hugging Face Hub加载。

The Munich Motor Imagery dataset is an EEG dataset focused on visual motor imagery. It includes 10 recordings from 10 healthy subjects, each with 128 channels and a sampling rate of 500Hz. The total duration of the dataset is 8.4 hours, with a disk size of 5.4GB. The dataset is licensed under CC-BY-4.0 and is primarily used for research in brain-computer interfaces, neuroscience, and related fields. The dataset can be loaded via the EEGDash tool or directly from the Hugging Face Hub.