Eduardo Santamaría-Vázquez

Orcid: 0000-0002-7688-4258

Affiliations:
  • University of Valladolid, Spain


According to our database1, Eduardo Santamaría-Vázquez authored at least 17 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

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Bibliography

2023
Non-binary m-sequences for more comfortable brain-computer interfaces based on c-VEPs.
Expert Syst. Appl., December, 2023

ITACA: An open-source framework for Neurofeedback based on Brain-Computer Interfaces.
Comput. Biol. Medicine, June, 2023

MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research.
Comput. Methods Programs Biomed., March, 2023

Bit-Wise Reconstruction of Non-binary Visual Stimulation Patterns from EEG Using Deep Learning: A Promising Alternative for User-Friendly High-Speed c-VEP-Based BCIs.
Proceedings of the Advances in Computational Intelligence, 2023

Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study.
Proceedings of the Advances in Computational Intelligence, 2023

Assessing the Potential of Brain-Computer Interface Multiplayer Video Games using c-VEPs: A Pilot Study.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Nonparametric Early Stopping Detection for c-VEP-based Brain-Computer Interfaces: A Pilot Study.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learning.
Comput. Methods Programs Biomed., 2022

Brain-computer interface channel selection optimization using meta-heuristics and evolutionary algorithms.
Appl. Soft Comput., 2022

2021
A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea.
IEEE J. Biomed. Health Informatics, 2021

Neurofeedback Training Based on Motor Imagery Strategies Increases EEG Complexity in Elderly Population.
Entropy, 2021

2020
Correction: Martínez-Cagigal, V.; Santamaría-Vázquez, E.; Hornero, R. Asynchronous Control of P300-Based Brain-Computer Interfaces Using Sample Entropy. Entropy 2019, 21, 230.
Entropy, 2020

2019
Towards an accessible use of smartphone-based social networks through brain-computer interfaces.
Expert Syst. Appl., 2019

Asynchronous Control of P300-Based Brain-Computer Interfaces Using Sample Entropy.
Entropy, 2019

Towards Automatic Artifact Rejection in Resting-State MEG Recordings: Evaluating the Performance of the SOUND Algorithm.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Controlling a Smartphone with Brain-Computer Interfaces: A Preliminary Study.
Proceedings of the Articulated Motion and Deformable Objects, 2018


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