Decoding of Ankle Flexion and Extension from Cortical Current Sources Estimated from Non-invasive Brain Activity Recording Methods

@article{MejiaTobar2018DecodingOA,
  title={Decoding of Ankle Flexion and Extension from Cortical Current Sources Estimated from Non-invasive Brain Activity Recording Methods},
  author={Alejandra Mejia Tobar and Rikiya Hyoudou and Kahori Kita and Tatsuhiro Nakamura and Hiroyuki Kambara and Yousuke Ogata and Takashi Hanakawa and Yasuharu Koike and Natsue Yoshimura},
  journal={Frontiers in Neuroscience},
  year={2018},
  volume={11}
}
The classification of ankle movements from non-invasive brain recordings can be applied to a brain-computer interface (BCI) to control exoskeletons, prosthesis, and functional electrical stimulators for the benefit of patients with walking impairments. In this research, ankle flexion and extension tasks at two force levels in both legs, were classified from cortical current sources estimated by a hierarchical variational Bayesian method, using electroencephalography (EEG) and functional… 
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