EEGDash/nm000338
收藏Hugging Face2026-04-21 更新2026-04-26 收录
下载链接：
https://hf-mirror.com/datasets/EEGDash/nm000338
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资源简介：
Lee2019-MI是一个EEG（脑电图）数据集，专注于视觉运动任务，包含54名健康受试者的216次记录。数据集通过EEGDash工具提供，支持多种加载方式，包括PyTorch和braindecode框架。数据集的元数据显示，每次记录包含66个通道，采样率为1000Hz，总时长为91.5小时，磁盘占用60.8GB。数据集采用GPL-3.0许可证，可通过OpenNeuro/NEMAR或Hugging Face Hub获取。
Lee2019-MI is an EEG dataset focused on visual motor tasks, containing 216 recordings from 54 healthy subjects. The dataset is provided via the EEGDash tool, supporting multiple loading methods, including PyTorch and braindecode frameworks. Metadata shows each recording has 66 channels, a sampling rate of 1000Hz, a total duration of 91.5 hours, and a disk size of 60.8GB. The dataset is licensed under GPL-3.0 and can be accessed via OpenNeuro/NEMAR or Hugging Face Hub.
提供机构：
EEGDash
