Cargando…
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...
Autores principales: | Tang, Zhichuan, Sun, Shouqian, Zhang, Sanyuan, Chen, Yumiao, Li, Chao, Chen, Shi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
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 |
Ejemplares similares
-
An Upper-Limb Power-Assist Exoskeleton Using Proportional Myoelectric Control
por: Tang, Zhichuan, et al.
Publicado: (2014) -
Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors
por: Bhagat, Nikunj A., et al.
Publicado: (2016) -
Using a brain-machine interface to control a hybrid upper limb exoskeleton during rehabilitation of patients with neurological conditions
por: Hortal, Enrique, et al.
Publicado: (2015) -
A Trade-Off between Complexity and Interaction Quality for Upper Limb Exoskeleton Interfaces
por: Verdel, Dorian, et al.
Publicado: (2023) -
The Middleware for an Exoskeleton Assisting Upper Limb Movement
por: Strzelczyk, Przemyslaw, et al.
Publicado: (2022)