Validation of semiautomatic scoring of REM sleep without atonia in patients with RBD

To evaluate REM sleep without atonia (RSWA) in REM sleep behavior disorder (RBD) several automatic algorithms have been developed. We aimed to validate our algorithm (Mayer et al. 2008) in order to assess 1. capability of the algorithm to differentiate between RBD, night terror (NT), somnambulism (SW), Restless legs syndrome (RLS) and obstructive sleep apnea (OSA), 2. cut-off values for short (SMI) and long muscle activity (LMI), 3. which muscles qualify best for differential diagnosis, and 4. comparability of RSWA and registered movements between automatic and visual analysis of videometry.

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