EEG-BCI Datasets Metadata
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/paolonapoletano/bci-resources
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资源简介:
该数据集包含了从2004年至今发布的元数据,覆盖了包括脑至图像、脑至文本、情绪识别、运动想象、神经退行性疾病和癫痫预测在内的六个EEG-BCI任务。此外,该数据集还包括了评估将LBM模型应用于EEG-BCI数据的可行性的元数据,并强调了在数据收集中需要更多样化的条件,以便于有效应用于现实世界。然而,该数据集在记录的总时间上有限,且在各个任务中记录的主体数量存在较大差异。涉及的任务包括脑至图像、脑至文本、情绪识别、运动想象、神经退行性疾病和癫痫预测。
This dataset contains metadata released since 2004, covering six EEG-BCI tasks including brain-to-image, brain-to-text, emotion recognition, motor imagery, neurodegenerative diseases, and epilepsy prediction. Additionally, it includes metadata for evaluating the feasibility of applying LBM models to EEG-BCI data, and emphasizes the need for more diverse data collection conditions to enable effective real-world applications. However, this dataset has limitations in total recording duration, and there are significant differences in the number of subjects across various tasks. The involved tasks include brain-to-image, brain-to-text, emotion recognition, motor imagery, neurodegenerative diseases, and epilepsy prediction.
提供机构:
Various researchers and institutions contributing to EEG-BCI datasets



