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Prediction of movement intention using connectivity within motor-related network: An electrocorticography study
Most brain-machine interface (BMI) studies have focused only on the active state of which a BMI user performs specific movement tasks. Therefore, models developed for predicting movements were optimized only for the active state. The models may not be suitable in the idle state during resting. This...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5783365/ https://www.ncbi.nlm.nih.gov/pubmed/29364932 http://dx.doi.org/10.1371/journal.pone.0191480 |