Published September 27, 2019 | Version v1
Dataset Open

Maintenance of Wakefulness Test (MWT) recordings

  • 1. Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland
  • 2. University of Zurich, Switzerland

Description

Each file contains a MWT trial (first trial after noon) recording of a patient. The data contains occipital EEG and EOG data. All signals were bandpass filtered between 0.5-45 Hz.

In each file, the data is structured as the following:

  • fs:   sampling rate.
  • eeg_O1:   EEG channel O1-M2 where M2 is the mastoid electrode on the opposite side.
  • eeg_O2:   EEG channel O2-M1 where M1 is the mastoid electrode on the opposite side.
  • E1 and E2:   EOG channels for left and right eye, both referenced to M1.
  • labels_O1 and labels_O2:   arrays with expert scoring (0-wake, 1-MSE, 2-MSEc, 3-ED, according to the BERN scoring criteria published in Hertig-Godeschalk et al. doi:10.1093/sleep/zsz163.); length of the arrays is the same as for other signals, i.e. there is a label per sample.
  • prec:   amount of signal samples per label, in this case it is 1. variables prec and half_prec were not used.
  • num_Labels:   length of the signal in samples.

Further descriptions, details, and outcomes can be found in the related studies. The published studies which are based on this data and address the borderland between wakefulness and sleep, i.e. microsleep episodes, are listed under related/alternative identifiers.

Files

Files (1.0 GB)

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Additional details

Related works

Is documented by
Journal article: 10.1093/sleep/zsz163 (DOI)
Is referenced by
Journal article: 10.1093/sleep/zsz225 (DOI)

Funding

Sleep onset and other state transitions: insights from quantitative EEG analysis 32003B_146643
Swiss National Science Foundation
EEG based microsleep episode detection in the maintenance of wakefulness test and the driving simulator using a machine learning approach 32003B_176323
Swiss National Science Foundation