2026-05-05T19:48:22Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/583502025-07-29T07:46:55Zcom_10324_23459com_10324_954com_10324_894col_10324_23460

SantaMaría Vazquez, Eduardo Martínez Cagigal, Víctor Marcos Martínez, Diego Rodríguez González, Víctor Pérez Velasco, Sergio Moreno Calderón, Selene Hornero Sánchez, Roberto 2023-01-18T12:56:19Z 2023-01-18T12:56:19Z 2023 Computer Methods and Programs in Biomedicine, 2023, vol. 230, 107357 0169-2607 https://uvadoc.uva.es/handle/10324/58350 10.1016/j.cmpb.2023.107357 107357 Computer Methods and Programs in Biomedicine Producción Científica 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. 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) application/pdf eng Elsevier info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ © 2023 The Author(s) Atribución 4.0 Internacional Brain–computer interfaces Neurotechnology Neuroscience Electroencephalography (EEG) 33 Ciencias Tecnológicas 32 Ciencias Médicas MEDUSA©: A novel Python-based software ecosystem to accelerate brain-computer interface and cognitive neuroscience research info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.sciencedirect.com/science/article/pii/S016926072300024X SI