EEGDash/nm000161

BNCI 2024-001手写字符分类数据集是一个用于脑机接口和神经科学研究的EEG数据集。数据集包含20名健康受试者的40个EEG记录，每个记录有60个通道，采样率为500Hz，总时长为33.6小时，磁盘占用空间为10.2GB。实验模态为视觉，范式类型为运动。数据集使用CC-BY-4.0许可证，可以通过EEGDash或braindecode的Zarr布局加载。The BNCI 2024-001 Handwritten Character Classification dataset is an EEG dataset for brain-computer interface and neuroscience research. It includes 40 EEG recordings from 20 healthy subjects, each with 60 channels and a sampling rate of 500Hz. The total duration is 33.6 hours, and the disk space usage is 10.2GB. The experimental modality is visual, and the paradigm type is motor. The dataset is licensed under CC-BY-4.0 and can be loaded via EEGDash or braindecodes Zarr layout.