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

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 major fact...

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Detalles Bibliográficos
Autores principales: Lienkämper, Robin, Dyck, Susanne, Saif-ur-Rehman, Muhammad, Metzler, Marita, Ali, Omair, Klaes, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907076/
https://www.ncbi.nlm.nih.gov/pubmed/33633302
http://dx.doi.org/10.1038/s41598-021-84288-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907076/
https://www.ncbi.nlm.nih.gov/pubmed/33633302
http://dx.doi.org/10.1038/s41598-021-84288-5

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