A study on a robot arm driven by three-dimensional trajectories predicted from non-invasive neural signals

BACKGROUND: A brain-machine interface (BMI) should be able to help people with disabilities by replacing their lost motor functions. To replace lost functions, robot arms have been developed that are controlled by invasive neural signals. Although invasive neural signals have a high spatial resoluti...

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Detalles Bibliográficos
Autores principales: Kim, Yoon Jae, Park, Sung Woo, Yeom, Hong Gi, Bang, Moon Suk, Kim, June Sic, Chung, Chun Kee, Kim, Sungwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545996/
https://www.ncbi.nlm.nih.gov/pubmed/26290069
http://dx.doi.org/10.1186/s12938-015-0075-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545996/
https://www.ncbi.nlm.nih.gov/pubmed/26290069
http://dx.doi.org/10.1186/s12938-015-0075-8

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