Automated Detection of Isolated REM Sleep Behavior Disorder Using Computer Vision.

ABSTRACT:

Objective

Isolated rapid eye movement (REM) sleep behavior disorder (iRBD) is, in most cases, an early stage of Parkinson's disease or related disorders. Diagnosis requires an overnight video-polysomnogram (vPSG), however, even for sleep experts, interpreting vPSG data is challenging. Using a 3D camera, automated analysis of movements has yielded high accuracy. We aimed to replicate and extend prior work using a conventional 2D camera.

Methods

The dataset included 172 vPSG recordings from a clinical sleep center, 81 patients with iRBD and 91 non-RBD healthy controls (63 with a range of other sleep disorders and 28 healthy sleepers). An optical flow computer vision algorithm automatically detected movements during rapid eye movement (REM) sleep, from which features of rate, r

SUBMITTER: Abdelfattah M 

PROVIDER: S-EPMC12010054 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature