Publications (42) VICTOR MARTINEZ CAGIGAL publications

2024

  1. The use of the eye-fixation-related potential to investigate visual perception in professional domains with high attentional demand: a literature review

    Neurological Sciences, Vol. 45, Núm. 5, pp. 1849-1860

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

    Computer Methods and Programs in Biomedicine, Vol. 246

2023

  1. Assessing the Potential of Brain-Computer Interface Multiplayer Video Games using c-VEPs: A Pilot Study

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2023, pp. 1-4

  2. 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)

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

    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. Influencia de los sistemas Brain-Computer Interface basados en Neurofeedback en las características de la red cerebral

    CASEIB 2023. Libro de Actas del XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Contribuyendo a la salud basada en valor

  7. 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

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

    Expert Systems with Applications, Vol. 232

  9. Nonparametric Early Stopping Detection for c-VEP-based Brain-Computer Interfaces: A Pilot Study

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2023, pp. 1-4

  10. 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. Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control

    Frontiers in Human Neuroscience, Vol. 16

  5. Headache-related circuits and high frequencies evaluated by EEG, MRI, PET as potential biomarkers to differentiate chronic and episodic migraine: Evidence from a systematic review

    Journal of Headache and Pain, Vol. 23, Núm. 1

  6. 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

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

    Computer Methods and Programs in Biomedicine, Vol. 215

2021

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

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