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ProjectCerebro — Cho 2017 EEG Motor Imagery Dataset (BCI_Data_new)

Dataset Description

Preprocessed EEG motor imagery epochs from the Cho 2017 dataset (GigaDB 100295), processed through the ProjectCerebro pipeline.

Original paper:

Cho, H., et al. (2017). EEG datasets for motor imagery brain–computer interface. GigaScience, 6(7), 1–8. https://doi.org/10.1093/gigascience/gix034

Dataset Structure

Each row is one 4-second EEG epoch with these columns:

Column Type Description
epoch_id string Unique identifier
dataset string Always cho2017
subject_id string Subject ID (s01–s52)
label_code int 0=left, 1=right, 2=rest
label_name string left, right, or rest
features float32[] Flattened EEG (5 ch × 512 samples = 2560 floats)
n_channels int 5
n_samples int 512 (4s @ 128Hz)
channel_names string[] [FZ, C3, CZ, C4, PZ]
sampling_rate_hz float 128.0
filter_version string bp_8_30_v1 or bp_4_38_v1
preprocessing_version string v1.1.0

Preprocessing Pipeline

  1. Stage 1 — ICA artifact removal (infomax + ICLabel)

    • 20 ICA components fitted on 1–100 Hz broadband signal
    • Eye blink, muscle, line noise components excluded (>0.8 confidence)
    • Output: cleaned .fif files
  2. Stage 2 — Epoch extraction & standardization

    • 5 common channels selected: FZ, C3, CZ, C4, PZ
    • Bandpass filter: 8–30 Hz (primary) or 4–38 Hz (ablation)
    • Resampled to 128 Hz
    • Epochs: -1s to +3s around trial onset → 512 samples
    • Baseline correction: subtract mean of pre-stimulus period

Files

File Description
bp8_30/*.parquet Primary filter (8–30 Hz) — motor imagery band
bp4_38/*.parquet Ablation filter (4–38 Hz) — broader band

Source

GitHub: JANARDHANAREDDYMS/projectcerebro

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