AI-RBD: an Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography

Title:AI-RBD: an Integrated Framework for Privacy-Preserving AI Analysis of REM Behavior Disorder in Video-Polysomnography

Authors:António Cardoso, João Guedes, Margarida Gouveia, Ana Filipa Sequeira, Tania Pereira, Hélder Pinto de Oliveira, Pedro Amorim, Shu Hung Hung, Tzu I Tseng and Daniela Ferreira-Santos

Conference:IEEE CBMS 2026

Tags:Artificial Intelligence, Clinical Decision Support, REM Behavior Disorder and Video-Polysomnography

Abstract:

This document describes the AI-RBD initiative, a research project focused on developing artificial intelligence and computer vision solutions for the automated detection of REM Sleep Behaviour Disorder (RBD). By leveraging video-polysomnography (vPSG), the project aims to enhance diagnostic precision and clinical efficiency.