| --- |
| license: unknown |
| tags: |
| - eeg |
| - sleep-staging |
| - in-ear-eeg |
| --- |
| |
| # EESM23-Processed |
|
|
| Preprocessed HDF5 export of the **EESM23** (Aarhus in-ear EEG sleep) BIDS |
| dataset — 10 subjects, 2 nights each (`ses-001`, `ses-002`), one 30-second |
| AASM scoring epoch per row (`Wake` / `N1` / `N2` / `N3` / `REM`; `Artefact` |
| epochs dropped). `sub-006/ses-002` PSG is skipped — the source `.set` file is |
| truncated on disk. |
|
|
| ## Preprocessing |
|
|
| **Only** a 0.1–100 Hz band-pass + 50 Hz notch filter is applied, on the full |
| continuous recording before slicing into 30 s epochs (to avoid per-epoch |
| filter edge effects). Nothing else: **no re-referencing, no resampling, no |
| channel renaming**. Channel names are kept exactly as in the source BIDS |
| `channels.tsv`. |
|
|
| Device data-loss gaps (NaN samples) are linearly interpolated before |
| filtering (a long FIR kernel otherwise smears each NaN across a wide window) |
| and the true NaN positions are restored afterward, so `nan_fraction` still |
| reflects genuine data quality rather than a filtering artifact. |
|
|
| Generated by `dataset/preprocess_eesm23.py` in the EEGFM repo. |
|
|
| ## Files |
|
|
| | file | channels | epochs (N) | sfreq | epoch length | |
| |---|---|---|---|---| |
| | `eesm23-in-ear-eeg.h5` | 4: RB, RT, LB, LT (acq=earEEG, original names) | 16553 | 250 Hz | 30.0 s (7500 samples) | |
| | `eesm23-scalp-eeg.h5` | 8: M1, F3, C3, O1, M2, F4, C4, O2 (acq=PSG) | 15526 | 250 Hz | 30.0 s (7500 samples) | |
|
|
| Label distribution: |
|
|
| | | Wake | N1 | N2 | N3 | REM | |
| |---|---|---|---|---|---| |
| | in-ear | 1501 | 1369 | 7792 | 2667 | 3224 | |
| | scalp | 1375 | 1293 | 7329 | 2494 | 3035 | |
|
|
| ## HDF5 schema (v0.2) |
|
|
| ``` |
| /data (N, C, T) float32 signal, µV |
| /durations (N,) int64 valid samples per epoch (== T here, fixed-length) |
| /nan_fraction (N,) float32 fraction of non-finite samples in the epoch |
| /labels (N,) int64 index into attrs['class_names'] |
| /subject (N,) str 'sub-001' ... |
| /session (N,) str 'ses-001' / 'ses-002' |
| /task (N,) str 'sleep' |
| /run (N,) str '' (unused, sessions are not run-qualified) |
| /trial_id (N,) int64 row index in the source scoring events.tsv |
| /ch_names (C,) str channel names, as in source BIDS channels.tsv |
| |
| attrs: sfreq, n_class, class_names, unit ('uV'), eegfm_version, |
| source_bids_path, bids_dataset_name, preprocess_config_json, created_at |
| ``` |
|
|
| `preprocess_config_json` (per file) records the exact filter settings, e.g.: |
| ```json |
| {"acq": "earEEG", "sessions": ["001", "002"], "epoch_sec": 30.0, "filter_low": 0.1, "filter_high": 100.0, "notch": 50.0} |
| ``` |
|
|
