An inter-rater variability study between human and automatic scorers in 5-s mini-epochs of sleep

While mini-epoch scoring agreement was generally high, it was still lower than within epochs, likely due to a lack of standard mini-epoch scoring procedure and the automatic classifier being trained on epochs. However, stage discrepancies between epochs and mini-epochs and increased stage shifting in mini-epochs support that epochs can contain several stages, and that mini-epochs could supplement more detailed sleep characterization potentially enabling more precise diagnosis and finding new polysomnographic biomarkers. Future studies should include larger datasets to refine mini-epoch scoring rules and exploit automatic classifiers e.g. via transfer learning.

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Publication Details

Journal
Sleep Medicine
Published
2025-02-07
DOI
https://doi.org/10.1016/j.sleep.2025.02.005
Citations
6
Primary Topic
Sleep and Wakefulness Research
Type
article
Field-Weighted Citation Impact
8.59

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article

An inter-rater variability study between human and automatic scorers in 5-s mini-epochs of sleep

Louise Frøstrup Follin, Berit Hjelde Hansen, Hilde T Juvodden, Stine Knudsen et al.
6 citations
Sleep Medicine
Sleep and Wakefulness Research
8.59
article

An inter-rater variability study between human and automatic scorers in 5-s mini-epochs of sleep

Louise Frøstrup Follin, Berit Hjelde Hansen, Hilde T Juvodden, Stine Knudsen, Julie Anja Engelhard Christensen, Janita Vevelstad, Rannveig Viste, Anette Ramm‐Pettersen, Tobias Kaufmann, Alexander Neergaard Zahid
article en
6 citations

Abstract

While mini-epoch scoring agreement was generally high, it was still lower than within epochs, likely due to a lack of standard mini-epoch scoring procedure and the automatic classifier being trained on epochs. However, stage discrepancies between epochs and mini-epochs and increased stage shifting in mini-epochs support that epochs can contain several stages, and that mini-epochs could supplement more detailed sleep characterization potentially enabling more precise diagnosis and finding new polysomnographic biomarkers. Future studies should include larger datasets to refine mini-epoch scoring rules and exploit automatic classifiers e.g. via transfer learning.

Sleep MedicineVol. 128
Oslo University Hospital (NO), University of Oslo (NO), University of Tübingen (DE), Technical University of Denmark (DK)
Helse- og Omsorgsdepartementet, Lundbeckfonden, Helse Sør-Øst RHF
Openalex Percentile: Top 2%
Sleep and Wakefulness Research
8.59
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An inter-rater variability study between human and automatic scorers in 5-s mini-epochs of sleep — Louise Frøstrup Follin, Berit Hjelde Hansen, et al. · Sleep Medicine (2025) | TGRS Research Map | TGRS