Datasetpublic

braindecode/physionet

EEG Dataset This dataset was created using braindecode, a deep learning library for EEG/MEG/ECoG signals. Dataset Information Property Value Recordings 654 Type Windowed (from Epochs object) Channels 64 Sampling frequency 200 Hz Total duration 8:03:35 Windows/samples 9,688 Size 50.18 MB Format zarr Quick Start from braindecode.datasets import BaseConcatDataset # Load from Hugging Face Hub dataset =… See the full description on the dataset page: https://huggingface.co/datasets/braindecode/physionet.

sourceHugging Faceunknownupdated 6mo agoView on Hugging Face

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rootformat_info.json

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1{2  "format": "zarr",3  "pipeline_name": "braindecode",4  "compression": "gzip",5  "compression_level": 5,6  "chunk_size": 5000000,7  "braindecode_version": "1.3.2",8  "n_recordings": 654,9  "total_samples": 9688,10  "total_size_mb": 50.1811}