Artificial Intelligence and Wearable Technologies for Upper Limb Neurorehabilitation

Non-invasive neural interfaces (NIs) are increasingly investigated in upper limb neurorehabilitation, where they exploit biosignals, such as electroencephalography (EEG) and electromyography (EMG), to decode motor intentions using artificial intelligence (AI). Yet, traditional systems are complex an...

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Autori principali:	Ilaria Siviero, Nicola Vale, Gloria Menegaz, Ander Ramos-Murguialday, Silvia Francesca Storti
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2026-01-01
Serie:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Soggetti:	Artificial intelligence wearable sensors upper limb rehabilitation telemedicine
Accesso online:	https://ieeexplore.ieee.org/document/11342313/
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