Wearable sensors and Machine Learning to automatically assess dystonia and chorea [Protocol Scoping Review]

Le résumé fourni par la source

This scoping review aims to map the current literature on the integration of wearable sensors and machine learning techniques for the automated detection and severity assessment of dystonia and chorea. Following the PRISMA-ScR guidelines, this protocol outlines the search strategy, eligibility criteria, and data extraction framework used to evaluate measurement setups, extracted movement features, clinical correlations, and machine learning model performances across diverse movement disorder populations.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.