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An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic
Brain-computer interfaces (BCIs) still face many challenges to step out of laboratories to be used in real-life applications.
Online adaptive group-wise sparse NPLS for ECoG neural signal decoding
The proposed decoder was designed to create BCI systems with low computational cost suited for portable applications and tested during offline pseudo-online study based on online closed-loop BCI control of the left and right 3D arm movements of a virtual avatar from the ECoG recordings of a tetraplegic patient.
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