Víctor Martínez-Cagigal
Orcid: 0000-0002-3822-1787Affiliations:
- University of Valladolid, Spain
According to our database1,
Víctor Martínez-Cagigal
authored at least 23 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Bridging motor execution and motor imagery BCI paradigms: An inter-task transfer learning approach.
Biomed. Signal Process. Control., 2025
Enhancing user experience in c-VEP-based BCI: Effects of visual stimulus opacity on performance and visual fatigue.
Biomed. Signal Process. Control., 2025
Calibration-free Ocular artifact reduction in EEG signals using a montage-independent deep learning model.
Biomed. Signal Process. Control., 2025
Development and Validation of an Affordable Wearable Multichannel EEG System With Active Electrodes and Innovative Flexible Headbands.
IEEE Access, 2025
2024
Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values.
Comput. Methods Programs Biomed., 2024
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
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
Neurofeedback Training Based on Motor Imagery Strategies Increases EEG Complexity in Elderly Population.
Entropy, 2021
Decoding of continuous movement attempt in 2-dimensions from non-invasive low frequency brain signals.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 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
Non-linear online low-frequency EEG decoding of arm movements during a pursuit tracking task.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Towards an accessible use of smartphone-based social networks through brain-computer interfaces.
Expert Syst. Appl., 2019
Entropy, 2019
2018
Proceedings of the Articulated Motion and Deformable Objects, 2018
2017
Proceedings of the Advances in Computational Intelligence, 2017