Machine learning as a control strategy for smart upper limb orthosis: a scoping review
Ledycnarf J. Holanda,
Ana Paula M. Fernandes,
Severino P. Nunes Netto
et al.
Abstract:Upper limb (UL) orthoses have long been used in rehabilitation to assist with movement and improve functional outcomes. However, current orthoses often lack the ability to provide individualized and adaptive assistance to each user. Machine learning (ML)-based orthoses may address these limitations by classifying movement patterns using biomedical signals. This review aimed to explore ML-based UL orthoses by describing the features, algorithms, and benefits from the data collected in articles and patents. We c… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.