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...

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Detalles Bibliográficos
Autores principales: Kang, Byeong Keun, Kim, June Sic, Ryun, Seokyun, Chung, Chun Kee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
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

Internet

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

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