Cargando…
A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting
Decoding motor intentions from non-invasive brain activity monitoring is one of the most challenging aspects in the Brain Computer Interface (BCI) field. This is especially true in online settings, where classification must be performed in real-time, contextually with the user’s movements. In this w...
Autores principales: | Valenti, Andrea, Barsotti, Michele, Bacciu, Davide, Ascari, Luca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915535/ https://www.ncbi.nlm.nih.gov/pubmed/33562814 http://dx.doi.org/10.3390/bioengineering8020021 |
Ejemplares similares
-
BCI-Triggered Functional Electrical Stimulation Therapy for Upper Limb
por: Marquez-Chin, Cesar, et al.
Publicado: (2016) -
Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving
por: Di Liberto, Giovanni M., et al.
Publicado: (2021) -
First Steps Toward a Motor Imagery Based Stroke BCI: New Strategy to Set up a Classifier
por: Kaiser, Vera, et al.
Publicado: (2011) -
A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs
por: Attallah, Omneya, et al.
Publicado: (2020) -
Efficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Report
por: Vourvopoulos, Athanasios, et al.
Publicado: (2019)