EEGDash/nm000347
收藏Hugging Face2026-04-21 更新2026-04-26 收录
下载链接:
https://hf-mirror.com/datasets/EEGDash/nm000347
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资源简介:
HefmiIch2025是一个脑电图(EEG)数据集,专注于多感官运动研究。该数据集包含37名受试者的98次记录,每次记录包含32个通道的EEG信号,采样率为256Hz,总时长为31.2小时。数据以PyTorch/braindecode兼容格式提供,适用于脑机接口和神经科学研究。数据集采用CC-BY-NC-ND-4.0许可协议,原始数据存储在OpenNeuro/NEMAR平台,可通过EEGDash工具流式传输或从HuggingFace Hub获取。
HefmiIch2025 is an EEG dataset focused on multisensory motor research. It contains 98 recordings from 37 subjects, with each recording comprising 32-channel EEG signals sampled at 256Hz, totaling 31.2 hours of data. The dataset is provided in PyTorch/braindecode-compatible format, suitable for brain-computer interface and neuroscience research. Licensed under CC-BY-NC-ND-4.0, the raw data is hosted on OpenNeuro/NEMAR and can be streamed via EEGDash or pulled from HuggingFace Hub.
提供机构:
EEGDash



