RT info:eu-repo/semantics/article
T1 MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research
A1 Santamaría Vázquez, Eduardo
A1 Martínez Cagigal, Víctor
A1 Marcos Martínez, Diego
A1 Rodríguez Gonzílez, Víctor
A1 Pérez Velasco, Sergio
A1 Moreno Calderón, Selene
A1 Hornero Sánchez, Roberto
K1 Brain–computer interfaces
K1 Neurotechnology
K1 Neuroscience
K1 Electroencephalography (EEG)
K1 33 Ciencias Tecnológicas
K1 32 Ciencias Médicas
AB 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.
PB Elsevier
SN 0169-2607
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/58350
UL https://uvadoc.uva.es/handle/10324/58350
LA eng
NO Computer Methods and Programs in Biomedicine, 2023, vol. 230, 107357
NO Producción Científica
DS UVaDOC
RD 07-ago-2024