Minimizing Interrater Variability in Staging Sleep by Use of Computer-Derived Features | Zendy

Magdy Younes | Zendy; Patrick J. Hanly | Zendy

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Minimizing Interrater Variability in Staging Sleep by Use of Computer-Derived Features

Author(s) -

Magdy Younes,

Patrick J. Hanly

Publication year - 2016

Publication title -

journal of clinical sleep medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.529

H-Index - 92

eISSN - 1550-9397

pISSN - 1550-9389

DOI - 10.5664/jcsm.6186

Subject(s) - inter rater reliability , medicine , wakefulness , sleep (system call) , stage (stratigraphy) , sleep stages , audiology , epoch (astronomy) , polysomnography , psychology , electroencephalography , computer science , developmental psychology , psychiatry , paleontology , stars , rating scale , computer vision , biology , operating system

Inter-scorer variability in sleep staging of polysomnograms (PSGs) results primarily from difficulty in determining whether: (1) an electroencephalogram pattern of wakefulness spans > 15 sec in transitional epochs, (2) spindles or K complexes are present, and (3) duration of delta waves exceeds 6 sec in a 30-sec epoch. We hypothesized that providing digitally derived information about these variables to PSG scorers may reduce inter-scorer variability.

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