ArticleJournal of sleep research2025
Validation of RBDtector: An Open-Source Automated Software for Scoring REM Sleep Without Atonia.
Article in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Fully-automated sleep staging for Parkinson's disease and isolated REM sleep behavior disorder.NPJ digital medicine · 2026Article
- Validation of RBDtector: An Open-Source Automated Software for Scoring REM Sleep Without Atonia.Journal of sleep research · 2025Article
- The Future of Parasomnias.Journal of sleep research · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Accurate quantification of REM sleep without atonia (RSWA) is essential in the diagnosis of idiopathic/isolated REM sleep behaviour disorder (iRBD). This study aims to validate RBDtector, a free and open-source tool for automated RSWA quantification using the Sleep Innsbruck Barcelona (SINBAR) scoring method, by comparing its performance against human visual scoring in a large independent cohort of subjects with iRBD and healthy controls. Muscle activity from 118 iRBD participants and 37 healthy controls that underwent polysomnography was analysed by RBDtector and compared with human visual scoring. Diagnostic performance was evaluated using receiver operating characteristic curves, and optimal cut-offs for iRBD screening and diagnosis were determined. The results of RSWA quantification were applied to survival analyses of time to phenoconversion. RBDtector showed excellent agreement with human visual scoring, particularly in 'any' RSWA activity (Pearson's correlation = 0.89, R
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