EEGDash/nm000140

BNCI 2015-001 Motor Imagery dataset是一个关于脑电图（EEG）和视觉运动任务的数据集，包含12名健康受试者的28次记录。数据集使用CC-BY-NC-ND-4.0许可证，适用于PyTorch框架，主要用于脑机接口和神经科学研究。数据集的元数据显示，每次记录包含13个通道，采样率为512 Hz，总时长为16.7小时，磁盘大小为1.1 GB。实验模态为视觉，范式类型为运动，数据来源为NEMAR。

The BNCI 2015-001 Motor Imagery dataset is a dataset related to EEG (electroencephalography) and visual motor tasks, containing 28 recordings from 12 healthy subjects. The dataset is licensed under CC-BY-NC-ND-4.0 and is suitable for use with PyTorch, primarily for brain-computer interface and neuroscience research. Metadata indicates that each recording includes 13 channels, a sampling rate of 512 Hz, a total duration of 16.7 hours, and a disk size of 1.1 GB. The experimental modality is visual, the paradigm type is motor, and the data source is NEMAR.