RT info:eu-repo/semantics/article
T1 ITACA: An open-source framework for Neurofeedback based on Brain-Computer Interfaces
A1 Marcos Martínez, Diego
A1 Santamaría Vázquez, Eduardo
A1 Martínez Cagigal, Víctor
A1 Pérez Velasco, Sergio
A1 Rodríguez González, Víctor
A1 Martín Fernández, Ana
A1 Moreno Calderón, Selene
A1 Hornero Sánchez, Roberto
K1 Neurosciences
K1 Biomedical engineering
K1 User Interfaces and Human Computer Interaction
K1 Brain-computer interfaces
K1 Neurofeedback
K1 Neurotechnology
K1 Interfaces cerebro-computadora
K1 Neurorretroalimentación
K1 Neurotecnología
K1 3314 Tecnología Médica
K1 33 Ciencias Tecnológicas
AB 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.
PB Elsevier
SN 0010-4825
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/59560
UL https://uvadoc.uva.es/handle/10324/59560
LA eng
NO Computers in Biology and Medicine, 2023, vol. 160, 107011
NO Producción Científica
DS UVaDOC
RD 05-may-2024