Quantifying the alignment error and the effect of incomplete somatosensory feedback on motor performance in a virtual brain–computer-interface setup

Abstract Invasive brain–computer-interfaces (BCIs) aim to improve severely paralyzed patient’s (e.g. tetraplegics) quality of life by using decoded movement intentions to let them interact with robotic limbs. We argue that the performance in controlling an end-effector using a BCI depends on three m...

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Autores principales: Robin Lienkämper, Susanne Dyck, Muhammad Saif-ur-Rehman, Marita Metzler, Omair Ali, Christian Klaes
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/858aa7999574496386f4518f46d6bed5
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