Detection of REM sleep behaviour disorder by automated polysomnography analysis (2018-11-12T00:00:00.000000Z)

TL;DR

This study validates a tractable, fully-automated, and sensitive pipeline for RBD identification that could be translated to wearable take-home technology and demonstrates that incorporating sleep architecture and sleep stage transitions can benefit RBD detection.

Authors

Fernando Andreotti

5 papers

M. Vos

3 papers

Navin Cooray

4 papers

Christine Lo

2 papers

M. Symmonds

2 papers

M. Hu

2 papers

TL;DR

Authors

References58 items

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