Publicaciones en colaboración con investigadores/as de Universidad de Valladolid (30)

2024

  1. Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values

    Computer Methods and Programs in Biomedicine, Vol. 246

2023

  1. 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

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Combining brain-computer interfaces and multiplayer video games: an application based on c-VEPs

    Frontiers in Human Neuroscience, Vol. 17

  3. Embodied strategies for public speaking anxiety: evaluation of the Corp-Oral program

    Frontiers in Human Neuroscience, Vol. 17

  4. ITACA: An open-source framework for Neurofeedback based on Brain–Computer Interfaces

    Computers in Biology and Medicine, Vol. 160

  5. Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience

    Frontiers in Human Neuroscience, Vol. 17

  6. MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research

    Computer methods and programs in biomedicine, Vol. 230, pp. 107357

  7. Non-binary m-sequences for more comfortable brain–computer interfaces based on c-VEPs

    Expert Systems with Applications, Vol. 232

  8. Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. A Portable P300-Based Brain–Computer Interface as an Alternative Communication Device

    Biosystems and Biorobotics (Springer Science and Business Media Deutschland GmbH), pp. 383-387

  2. Brain–computer interface channel selection optimization using meta-heuristics and evolutionary algorithms

    Applied Soft Computing, Vol. 115

  3. EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning

    IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 30, pp. 1766-1775

  4. Preventing Cognitive Decline in Elderly Population Through Neurofeedback Training: A Pilot Study

    Biosystems and Biorobotics (Springer Science and Business Media Deutschland GmbH), pp. 407-411

  5. Robust asynchronous control of ERP-Based brain-Computer interfaces using deep learning

    Computer Methods and Programs in Biomedicine, Vol. 215

2021

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

    IEEE Journal of Biomedical and Health Informatics, Vol. 25, Núm. 8, pp. 2906-2916

  2. A new method to build multiplex networks using canonical correlation analysis for the characterization of the Alzheimer's disease continuum

    Journal of Neural Engineering, Vol. 18, Núm. 2

  3. Brain-computer interfaces based on code-modulated visual evoked potentials (c-VEP): A literature review

    Journal of Neural Engineering, Vol. 18, Núm. 6

  4. Neurofeedback training based on motor imagery strategies increases EEG complexity in elderly population

    Entropy, Vol. 23, Núm. 12

2020

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

    Frontiers in Neuroscience, Vol. 14

  2. Correction: Asynchronous Control of P300-based brain-computer interfaces using sample entropy. [Entropy 2019, 21, 230]doi 10.3390/e21030230

    Entropy