Diego Marcos Martinez-rekin lankidetzan egindako argitalpenak (10)

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

    Frontiers in Human Neuroscience, Vol. 17

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

    Computers in Biology and Medicine, Vol. 160

  4. 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

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

    Expert Systems with Applications, Vol. 232

  6. 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

2022

  1. 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

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

    Computer Methods and Programs in Biomedicine, Vol. 215

2021

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

    Entropy, Vol. 23, Núm. 12