This dataset was created using braindecode, a library for deep learning with EEG/MEG/ECoG signals.

Number of recordings: 1 Number of channels: 26 Sampling frequency: 250.0 Hz Data type: Windowed (from Raw object) Number of windows: 48 Total size: 19.23 MB Storage format: zarr

To load this dataset: from braindecode.datasets import BaseConcatDataset

dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Kkuntal990/test-eegwindows-refactored.