Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sergio Pérez-Velasco"'
Autor:
Selene Moreno-Calderón, Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, Sergio Pérez-Velasco, Diego Marcos-Martínez, Roberto Hornero
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Introduction and objectiveVideo games are crucial to the entertainment industry, nonetheless they can be challenging to access for those with severe motor disabilities. Brain-computer interfaces (BCI) systems have the potential to help these individu
Externí odkaz:
https://doaj.org/article/96462ad111244391b528c5519e31b893
Autor:
Diego Marcos-Martínez, Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, Sergio Pérez-Velasco, Roberto Hornero
Publikováno v:
Entropy, Vol 23, Iss 12, p 1574 (2021)
Neurofeedback training (NFT) has shown promising results in recent years as a tool to address the effects of age-related cognitive decline in the elderly. Since previous studies have linked reduced complexity of electroencephalography (EEG) signal to
Externí odkaz:
https://doaj.org/article/5bfbcacb9c1f45578570d7b0357a5203
Autor:
Diego Marcos-Martínez, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Sergio Pérez-Velasco, Víctor Rodríguez-González, Ana Martín-Fernández, Selene Moreno-Calderón, Roberto Hornero
Producción Científica
Neurofeedback (NF) is a paradigm that allows users to self-modulate patterns of brain activity. It is implemented with a closed-loop brain-computer interface (BCI) system that analyzes the user’s brain activity in real-
Neurofeedback (NF) is a paradigm that allows users to self-modulate patterns of brain activity. It is implemented with a closed-loop brain-computer interface (BCI) system that analyzes the user’s brain activity in real-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50a9f9b5f1321ab67aa7bc60a68fd8d1
https://doi.org/10.1016/j.compbiomed.2023.107011
https://doi.org/10.1016/j.compbiomed.2023.107011
Autor:
Víctor Martínez-Cagigal, Roberto Hornero, Eduardo Santamaría-Vázquez, Sergio Pérez-Velasco, Diego Marcos-Martínez
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 30
In this study, we present a new Deep Learning (DL) architecture for Motor Imagery (MI) based Brain Computer Interfaces (BCIs) called EEGSym. Our implementation aims to improve previous state-of-the-art performances on MI classification by overcoming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6867061c398905c35fcd6c909287ab7
https://pubmed.ncbi.nlm.nih.gov/35759578
https://pubmed.ncbi.nlm.nih.gov/35759578
Autor:
Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Diego Marcos-Martínez, Víctor Rodríguez-González, Sergio Pérez-Velasco, Selene Moreno-Calderón, Roberto Hornero
Publikováno v:
Computer Methods and Programs in Biomedicine. 230:107357
Producción Científica
Background and objective. Neurotechnologies have great potential to transform our society in ways that are yet to be uncovered. The rate of development in this field has increased significantly in recent years, but there
Background and objective. Neurotechnologies have great potential to transform our society in ways that are yet to be uncovered. The rate of development in this field has increased significantly in recent years, but there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::269614f4883fb84db35b0500fad7c4cb
https://doi.org/10.1016/j.cmpb.2023.107357
https://doi.org/10.1016/j.cmpb.2023.107357
Autor:
Eduardo Santamaría-Vázquez, Peter Desain, Roberto Hornero, Sergio Pérez-Velasco, Jordy Thielen, Víctor Martínez-Cagigal
Publikováno v:
Journal of Neural Engineering, 18
Objective. Code-modulated visual evoked potentials (c-VEP) have been consolidated in recent years as robust control signals capable of providing non-invasive brain–computer interfaces (BCIs) for reliable, high-speed communication. Their usefulness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27c6c4e8b0942f8b02a08b25f1c02a65
https://repository.ubn.ru.nl/handle/2066/240006
https://repository.ubn.ru.nl/handle/2066/240006
Autor:
Víctor Martínez-Cagigal, Sergio Pérez-Velasco, Diego Marcos-Martínez, Roberto Hornero, Eduardo Santamaría-Vázquez
Publikováno v:
Entropy, Vol 23, Iss 1574, p 1574 (2021)
Entropy; Volume 23; Issue 12; Pages: 1574
Entropy
Entropy; Volume 23; Issue 12; Pages: 1574
Entropy
Producción Científica
Neurofeedback training (NFT) has shown promising results in recent years as a tool to address the effects of age-related cognitive decline in the elderly. Since previous studies have linked reduced complexity of electroen
Neurofeedback training (NFT) has shown promising results in recent years as a tool to address the effects of age-related cognitive decline in the elderly. Since previous studies have linked reduced complexity of electroen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::857f4516df12c0479c9bae1f0b3b6bee
https://doi.org/10.3390/e23121574
https://doi.org/10.3390/e23121574
Autor:
Sergio Perez-Velasco, Eduardo Santamaria-Vazquez, Victor Martinez-Cagigal, Diego Marcos-Martinez, Roberto Hornero
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1766-1775 (2022)
In this study, we present a new Deep Learning (DL) architecture for Motor Imagery (MI) based Brain Computer Interfaces (BCIs) called EEGSym. Our implementation aims to improve previous state-of-the-art performances on MI classification by overcoming
Externí odkaz:
https://doaj.org/article/07a6cf360e8b47fa9a200cccf7136a79