EEGDash/nm000249

BNCI 2022-001 EEG难度水平相关数据集是一个关于脑电图（EEG）的数据集，研究视觉注意力任务中不同难度水平与脑电信号之间的相关性。数据集包含13名健康受试者的13次记录，每次记录使用64个通道，采样频率为256Hz。实验模态为视觉，范式类型为注意力任务，总记录时长为16.2小时，磁盘占用空间为3.0GB。数据集以CC-BY-4.0许可证发布，可通过EEGDash工具加载为PyTorch或braindecode格式的数据集。

The BNCI 2022-001 EEG Correlates of Difficulty Level dataset is an EEG dataset that investigates the correlation between different difficulty levels in visual attention tasks and EEG signals. The dataset includes 13 recordings from 13 healthy subjects, each with 64 channels and a sampling rate of 256Hz. The experimental modality is visual, and the paradigm type is attention. The total recording duration is 16.2 hours, with a disk size of 3.0GB. The dataset is released under the CC-BY-4.0 license and can be loaded as a PyTorch or braindecode dataset using the EEGDash tool.