Cargando…
BCI-Walls: A robust methodology to predict if conscious EEG changes can be detected in the presence of artefacts
Brain computer interfaces (BCI) depend on reliable realtime detection of conscious EEG changes for example to control a video game. However, scalp recordings are contaminated with non-stationary noise, such as facial muscle activity and eye movements. This interferes with the detection process makin...
Autores principales: | Porr, Bernd, Bohollo, Lucía Muñoz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449140/ https://www.ncbi.nlm.nih.gov/pubmed/37616245 http://dx.doi.org/10.1371/journal.pone.0290446 |
Ejemplares similares
-
Emotion-Related Consciousness Detection in Patients With Disorders of Consciousness Through an EEG-Based BCI System
por: Pan, Jiahui, et al.
Publicado: (2018) -
Real-time noise cancellation with deep learning
por: Porr, Bernd, et al.
Publicado: (2022) -
EEG-Based BCI System to Detect Fingers Movements
por: Gannouni, Sofien, et al.
Publicado: (2020) -
An Unsupervised Method for Artefact Removal in EEG Signals
por: Mur, Angel, et al.
Publicado: (2019) -
EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
por: Lee, Min-Ho, et al.
Publicado: (2019)