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

  • 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.
Metadaten
Author:Annika Röthenbacher, Matteo Cesari, Christopher E.J. Doppler, Niels Okkels, Nele Willemsen, Nora Sembowski, Aline Seger, Marie Lindner, Corinna Brune, Ambra Stefani, Birgit Högl, Stephan BialonskiORCiD, Per Borghammer, Gereon R. Fink, Martin Schober, Michael Sommerauer
DOI:https://doi.org/10.1038/s41598-022-25163-9
DOI:https://doi.org/10.21269/10353
ISSN:2045-2322
Parent Title (English):Scientific Reports
Publisher:Springer Nature
Place of publication:London
Document Type:Article
Language:English
Year of Completion:2022
Date of first Publication:2022/12/03
Publishing Institution:Fachhochschule Aachen
Date of the Publication (Server):2022/12/21
Volume:12
Issue:Article number: 20886
First Page:1
Last Page:14
Link:DOI: 10.1038/s41598-022-25163-9
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Medizintechnik und Technomathematik
open_access (DINI-Set):open_access
collections:Verlag / Springer Nature
Open Access / Gold
Licence (German): Creative Commons - Namensnennung