EEGDash/nm000323
收藏Hugging Face2026-04-21 更新2026-04-26 收录
下载链接：
https://hf-mirror.com/datasets/EEGDash/nm000323
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资源简介：
Lee2019-ERP是一个关于脑电图（EEG）的数据集，主要用于视觉注意力研究。数据集包含54名健康受试者的216次记录，每次记录有66个通道，采样率为1000Hz。数据集的总时长为58.1小时，磁盘占用空间为38.6GB。数据集的任务类别为其他，实验模态为视觉，范式类型为注意力。数据集的许可证为GPL-3.0。数据集可以通过EEGDash工具加载，支持PyTorch和braindecode框架。
Lee2019-ERP is an EEG dataset primarily used for visual attention research. The dataset includes 216 recordings from 54 healthy subjects, each with 66 channels and a sampling rate of 1000Hz. The total duration of the dataset is 58.1 hours, with a disk space usage of 38.6GB. The task category is other, the experimental modality is visual, and the paradigm type is attention. The dataset is licensed under GPL-3.0. It can be loaded using the EEGDash tool and supports PyTorch and braindecode frameworks.
提供机构：
EEGDash
