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An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding

Previous studies of Brain Computer Interfaces (BCI) based on scalp electroencephalography (EEG) have demonstrated the feasibility of decoding kinematics for lower limb movements during walking. In this computational study, we investigated offline decoding analysis with different models and condition...

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Bibliografiske detaljer
Udgivet i:Sci Rep
Main Authors: Nakagome, Sho, Luu, Trieu Phat, He, Yongtian, Ravindran, Akshay Sujatha, Contreras-Vidal, Jose L.
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7062700/
https://ncbi.nlm.nih.gov/pubmed/32152333
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-60932-4
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