Cargando…
A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments
An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation. It exploits robust hardware platforms and powerful software development kits to create customized drivers with advanced capabilities. Still...
Autores principales: | Cardona-Álvarez, Yeison Nolberto, Álvarez-Meza, Andrés Marino, Cárdenas-Peña, David Augusto, Castaño-Duque, Germán Albeiro, Castellanos-Dominguez, German |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098804/ https://www.ncbi.nlm.nih.gov/pubmed/37050823 http://dx.doi.org/10.3390/s23073763 |
Ejemplares similares
-
Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity
por: Collazos-Huertas, Diego Fabian, et al.
Publicado: (2023) -
A simplified design of a cEEGrid ear-electrode adapter for the OpenBCI biosensing platform
por: Knierim, Michael T., et al.
Publicado: (2022) -
Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators
por: Caicedo-Acosta, Julian, et al.
Publicado: (2021) -
KCS-FCnet: Kernel Cross-Spectral Functional Connectivity Network for EEG-Based Motor Imagery Classification
por: García-Murillo, Daniel Guillermo, et al.
Publicado: (2023) -
Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery Tasks
por: Velasquez-Martinez, Luisa, et al.
Publicado: (2020)