Kkuntal990/bnci-raw

EEG Dataset This dataset was created using braindecode, a library for deep learning with EEG/MEG/ECoG signals. Dataset Information Number of recordings: 1 Number of channels: 26 Sampling frequency: 250.0 Hz Data type: Continuous (Raw) Number of windows: 96735 Total size: 19.23 MB Storage format: zarr Usage To load this dataset: from braindecode.datasets import BaseConcatDataset # Load dataset from Hugging Face Hub dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Kkuntal990/bnci-raw.