Maintenance of Wakefulness Test (MWT) EEG and EOG Recordings with Expert Scoring

Each file contains a Maintenance of Wakefulness Test (MWT) trial recording from a patient, collected after noon. The data includes occipital EEG and EOG signals bandpass filtered between 0.5-45 Hz, along with expert scoring labels for wakefulness and microsleep episodes. The dataset is authored by Anneke Hertig-Godeschalk from the University of Bern and is based on the BERN scoring criteria.

Use Cases

• Detect microsleep episodes based on expert scoring labels for EEG channels O1 and O2.
• Analyze time-series patterns in occipital EEG signals referenced to mastoid electrodes.
• Train classifiers for wakefulness states using synchronized EOG channel data.
• Validate automated scoring algorithms against the BERN criteria published in Hertig-Godeschalk et al.

Strengths

• Data includes expert scoring labels for each signal sample according to a published criteria (doi:10.1093/sleep/zsz163).
• Signals are bandpass filtered between 0.5-45 Hz, providing a standardized frequency range for analysis.
• Contains synchronized EEG and EOG channels from specific electrode placements (O1-M2, O2-M1, E1-M1, E2-M1).

Limitations

• Row count and total number of patient recordings are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics for variables like 'prec' and 'half_prec' must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Bern

Collection Method

Clinical recordings from Maintenance of Wakefulness Test (MWT) trials.