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Prediction of gait intention from pre-movement EEG signals: a feasibility study
BACKGROUND: Prediction of Gait intention from pre-movement Electroencephalography (EEG) signals is a vital step in developing a real-time Brain-computer Interface (BCI) for a proper neuro-rehabilitation system. In that respect, this paper investigates the feasibility of a fully predictive methodolog...
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| Pubblicato in: | J Neuroeng Rehabil |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7164221/ https://ncbi.nlm.nih.gov/pubmed/32299460 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12984-020-00675-5 |
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