EEGDash/nm000138

Alex Motor Imagery数据集是一个EEG（脑电图）数据集，主要用于视觉运动想象研究。数据集包含8名健康受试者的8次记录，每次记录有16个通道，采样率为512Hz。实验模态为视觉，范式类型为运动，总时长为1.1小时，磁盘大小为99.7MB。数据集适用于脑机接口、神经科学等领域的研究，并支持PyTorch和braindecode框架加载。许可证为CC-BY-SA-4.0。

The Alex Motor Imagery dataset is an EEG (electroencephalogram) dataset primarily used for visual motor imagery research. It includes 8 recordings from 8 healthy subjects, each with 16 channels and a sampling rate of 512Hz. The experimental modality is visual, and the paradigm type is motor, with a total duration of 1.1 hours and a disk size of 99.7MB. The dataset is suitable for research in areas such as brain-computer interfaces and neuroscience, and can be loaded using PyTorch and braindecode frameworks. The license is CC-BY-SA-4.0.