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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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2026-01-01
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| Seri Bilgileri: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/11342313/ |
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