Eduardo Santamaría-Vázquez

MEDUSA: Una Nueva Herramienta Para El Desarrollo De Sistemas Brain-Computer Interface Basada en Python

Roberto Hornero, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, 2018 .

Asynchronous Control of ERP-Based BCI Spellers Using Steady-State Visual Evoked Potentials Elicited by Peripheral Stimuli

Javier Gomez-Pilar, Roberto Hornero, Eduardo Santamaría-Vázquez, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Desarrollo de una aplicación para configurar el teléfono inteligente como fonendoscopio para profesionales sanitarios con deficiencias auditivas

Eduardo Santamaría-Vázquez, Luis Angel Vallejo Valdezate, Roberto Hornero, 2020 .

Deep Learning Architecture Based on the Combination of Convolutional and Recurrent Layers for ERP-Based Brain-Computer Interfaces

Javier Gomez-Pilar, Roberto Hornero, Eduardo Santamaría-Vázquez, 2019 .

Correction: Martínez-Cagigal, V.; Santamaría-Vázquez, E.; Hornero, R. Asynchronous Control of P300-Based Brain–Computer Interfaces Using Sample Entropy. Entropy 2019, 21, 230

Roberto Hornero, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, 2020, Entropy.

Controlling a Smartphone with Brain-Computer Interfaces: A Preliminary Study

Roberto Hornero, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, 2018, AMDO.

A Novel Hybrid Swarm Algorithm for P300-Based BCI Channel Selection

Roberto Hornero, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, 2019 .

Asynchronous Control of P300-Based Brain–Computer Interfaces Using Sample Entropy

Roberto Hornero, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, 2019, Entropy.

Towards an accessible use of smartphone-based social networks through brain-computer interfaces

Javier Gomez-Pilar, Roberto Hornero, Eduardo Santamaría-Vázquez, 2019, Expert Syst. Appl..

Towards Automatic Artifact Rejection in Resting-State MEG Recordings: Evaluating the Performance of the SOUND Algorithm

Roberto Hornero, Jesús Poza, Eduardo Santamaría-Vázquez, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces

Jorge Henriques, Carlos Amaral, Miguel Castelo-Branco, 2020, Frontiers in Neuroscience.

Neurofeedback Training Based on Motor Imagery Strategies Increases EEG Complexity in Elderly Population

Roberto Hornero, Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, 2021, Entropy.

A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea

Roberto Hornero, Daniel Álvarez, Félix del Campo, 2021, IEEE Journal of Biomedical and Health Informatics.