A Brain-Machine Interface Based on ERD/ERS for an Upper-Limb Exoskeleton Control

To recognize the user’s motion intention, brain-machine interfaces (BMI) usually decode movements from cortical activity to control exoskeletons and neuroprostheses for daily activities. The aim of this paper is to investigate whether self-induced variations of the electroencephalogram (EEG) can be...

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Detalles Bibliográficos
Autores principales: Tang, Zhichuan, Sun, Shouqian, Zhang, Sanyuan, Chen, Yumiao, Li, Chao, Chen, Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191031/
https://www.ncbi.nlm.nih.gov/pubmed/27918413
http://dx.doi.org/10.3390/s16122050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191031/
https://www.ncbi.nlm.nih.gov/pubmed/27918413
http://dx.doi.org/10.3390/s16122050

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