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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...
Autores principales: | Kim, Yoon Jae, Park, Sung Woo, Yeom, Hong Gi, Bang, Moon Suk, Kim, June Sic, Chung, Chun Kee, Kim, Sungwan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
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 |
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