EEGDash/nm000321
收藏Hugging Face2026-04-21 更新2026-04-26 收录
下载链接:
https://hf-mirror.com/datasets/EEGDash/nm000321
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资源简介:
Mainsah2025-Q是一个EEG数据集,专注于视觉临床/干预研究,包含36名受试者的360次记录。数据集使用CC-BY-4.0许可证发布,适用于脑机接口、神经科学等研究领域。数据记录包括32个通道,采样率在256 Hz左右,总持续时间约为13.1小时,磁盘占用空间为1.1 GB。数据集来源于NEMAR平台,支持通过EEGDash工具进行流式处理和PyTorch框架的直接加载。
Mainsah2025-Q is an EEG dataset focused on visual clinical/intervention studies, containing 360 recordings from 36 subjects. The dataset is released under the CC-BY-4.0 license and is suitable for research areas such as brain-computer interfaces and neuroscience. The recordings include 32 channels with a sampling rate around 256 Hz, totaling approximately 13.1 hours in duration and occupying 1.1 GB of disk space. The dataset originates from the NEMAR platform and supports streaming processing via the EEGDash tool and direct loading in the PyTorch framework.
提供机构:
EEGDash



