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

Elsevier 2023

Producción Científica
Neurofeedback (NF) is a paradigm that allows users to self-modulate patterns of brain activity. It is implemented with a closed-loop brain-computer interface (BCI) system that analyzes the user’s brain activity in real-time and provides continuous feedback. This paradigm is of great interest due to its potential as a non-pharmacological and non-invasive alternative to treat non-degenerative brain disorders. Nevertheless, currently available NF frameworks have several limitations, such as the lack of a wide variety of real-time analysis metrics or overly simple training scenarios that may negatively affect user performance. To overcome these limitations, this work proposes ITACA: a novel open-source framework for the design, implementation and evaluation of NF training paradigms.
Ministerio de Ciencia e innovación, Agencia Estatal de Investigación y FEDER (PID2020-115468RB-I00, RTC2019-007350-1 y TED2021-129915B-I00)

Neurosciences; Biomedical engineering; User Interfaces and Human Computer Interaction; Brain-computer interfaces; Neurofeedback; Neurotechnology; Interfaces cerebro-computadora; Neurorretroalimentación; Neurotecnología; 3314 Tecnología Médica; 33 Ciencias Tecnológicas; info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion

application/pdf
English

ESUDE oai:uvadoc.uva.es:10324/59560
https://doi.org/10.1016/j.compbiomed.2023.107011
Computers in Biology and Medicine, 2023, vol. 160, 107011
0010-4825
https://uvadoc.uva.es/handle/10324/59560
107011
Computers in Biology and Medicine
1394203784

UNIVERSIDAD DE VALLADOLID
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