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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/58350

    Título
    MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research
    Autor
    SantaMaría Vazquez, EduardoAutoridad UVA
    Martínez Cagigal, VíctorAutoridad UVA Orcid
    Marcos Martínez, DiegoAutoridad UVA
    Rodríguez Gonzílez, Víctor
    Pérez Velasco, SergioAutoridad UVA
    Moreno Calderón, Selene
    Hornero Sánchez, RobertoAutoridad UVA Orcid
    Año del Documento
    2023
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Computer Methods and Programs in Biomedicine, 2023, vol. 230, 107357
    Resumen
    Background and objective. Neurotechnologies have great potential to transform our society in ways that are yet to be uncovered. The rate of development in this field has increased significantly in recent years, but there are still barriers that need to be overcome before bringing neurotechnologies to the general public. One of these barriers is the difficulty of performing experiments that require complex software, such as brain-computer interfaces (BCI) or cognitive neuroscience experiments. Current platforms have limitations in terms of functionality and flexibility to meet the needs of researchers, who often need to implement new experimentation settings. This work was aimed to propose a novel software ecosystem, called MEDUSA©, to overcome these limitations. Methods. We followed strict development practices to optimize MEDUSA© for research in BCI and cognitive neuroscience, making special emphasis in the modularity, flexibility and scalability of our solution. Moreover, it was implemented in Python, an open-source programming language that reduces the development cost by taking advantage from its high-level syntax and large number of community packages. Results. MEDUSA© provides a complete suite of signal processing functions, including several deep learning architectures or connectivity analysis, and ready-to-use BCI and neuroscience experiments, making it one of the most complete solutions nowadays. We also put special effort in providing tools to facilitate the development of custom experiments, which can be easily shared with the community through an app market available in our website to promote reproducibility. Conclusions. MEDUSA© is a novel software ecosystem for modern BCI and neurotechnology experimentation that provides state-of-the-art tools and encourages the participation of the community to make a difference for the progress of these fields. Visit the official website at https://www.medusabci.com/ to know more about this project.
    Materias Unesco
    33 Ciencias Tecnológicas
    32 Ciencias Médicas
    Palabras Clave
    Brain–computer interfaces
    Neurotechnology
    Neuroscience
    Electroencephalography (EEG)
    ISSN
    0169-2607
    Revisión por pares
    SI
    DOI
    10.1016/j.cmpb.2023.107357
    Patrocinador
    Ministerio de Ciencia e Innovación/Agencia Estatal de Investigación/10.13039/501100011033/' y el Fondo Europeo de Desarrollo Regional (FEDER) grants (PID2020-115468RB-I00 and RTC2019-007350-1)
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S016926072300024X
    Propietario de los Derechos
    © 2023 The Author(s)
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/58350
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Aparece en las colecciones
    • GIB - Artículos de revista [36]
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    Nombre:
    MEDUSA©-A novel-Python-based-software.pdf
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    Atribución 4.0 InternacionalLa licencia del ítem se describe como Atribución 4.0 Internacional

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