Aarhus Universitets segl

Niels Okkels

RBDtector: an open-source software to detect REM sleep without atonia according to visual scoring criteria

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

DOI

  • Annika Röthenbacher, Jülich Research Centre
  • ,
  • Matteo Cesari, Innsbruck Medical University
  • ,
  • Christopher E J Doppler, University of Cologne, Jülich Research Centre
  • ,
  • Niels Okkels
  • Nele Willemsen, University of Cologne
  • ,
  • Nora Sembowski, University of Cologne
  • ,
  • Aline Seger, University of Cologne, Jülich Research Centre
  • ,
  • Marie Lindner, University of Cologne
  • ,
  • Corinna Brune, University of Cologne
  • ,
  • Ambra Stefani, Innsbruck Medical University
  • ,
  • Birgit Högl, Innsbruck Medical University
  • ,
  • Stephan Bialonski, FH Aachen University of Applied Sciences
  • ,
  • Per Borghammer
  • Gereon R Fink, University of Cologne, Jülich Research Centre
  • ,
  • Martin Schober, University of Cologne, Jülich Research Centre
  • ,
  • Michael Sommerauer, University of Cologne, Jülich Research Centre

REM sleep without atonia (RSWA) is a key feature for the diagnosis of rapid eye movement (REM) sleep behaviour disorder (RBD). We introduce RBDtector, a novel open-source software to score RSWA according to established SINBAR visual scoring criteria. We assessed muscle activity of the mentalis, flexor digitorum superficialis (FDS), and anterior tibialis (AT) muscles. RSWA was scored manually as tonic, phasic, and any activity by human scorers as well as using RBDtector in 20 subjects. Subsequently, 174 subjects (72 without RBD and 102 with RBD) were analysed with RBDtector to show the algorithm's applicability. We additionally compared RBDtector estimates to a previously published dataset. RBDtector showed robust conformity with human scorings. The highest congruency was achieved for phasic and any activity of the FDS. Combining mentalis any and FDS any, RBDtector identified RBD subjects with 100% specificity and 96% sensitivity applying a cut-off of 20.6%. Comparable performance was obtained without manual artefact removal. RBD subjects also showed muscle bouts of higher amplitude and longer duration. RBDtector provides estimates of tonic, phasic, and any activity comparable to human scorings. RBDtector, which is freely available, can help identify RBD subjects and provides reliable RSWA metrics.

OriginalsprogEngelsk
Artikelnummer20886
TidsskriftScientific Reports
Vol/bind12
Nummer1
Antal sider14
ISSN2045-2322
DOI
StatusUdgivet - dec. 2022

Bibliografisk note

© 2022. The Author(s).

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