Listar Dpto. Estadística, Informática y Matemáticas - Estatistika, Informatika eta Matematika Saila [desde mayo 2018 / 2018ko maiatzetik] por autor UPNA "Jorajuría, Tania"
Mostrando ítems 1-6 de 6
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A fast SSVEP-based brain-computer interface
Jorajuría, Tania
; Gómez Fernández, Marisol ; Vidaurre, Carmen (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena 
Literature of brain-computer interfacing (BCI) for steady-state visual evoked potentials (SSVEP) shows that canonical correlation analysis (CCA) is the most used method to extract features. However, it is known that CCA ... -
Improving motor imagery classification during induced motor perturbations
Vidaurre, Carmen ; Jorajuría, Tania ; Ramos Murguialday, Ander; Müller, Klaus Robert; Gómez Fernández, Marisol ; Nikulin, Vadim V. (IOP Publishing, 2021)
Artículo / Artikulua
Objective. Motor imagery is the mental simulation of movements. It is a common paradigm to design brain-computer interfaces (BCIs) that elicits the modulation of brain oscillatory activity similar to real, passive and ... -
MEANSP: How many channels are needed to predict the performance of a SMR-Based BCI?
Jorajuría, Tania ; Nikulin, Vadim V.; Kapralov, Nikolai; Gómez Fernández, Marisol ; Vidaurre, Carmen (IEEE, 2023)
Artículo / Artikulua
Predicting whether a particular individual would reach an adequate control of a Brain-Computer Interface (BCI) has many practical advantages. On the one hand, participants with low predicted performance could be trained ... -
Oscillatory source tensor discriminant analysis (OSTDA): a regularized tensor pipeline for SSVEP-based BCI systems
Jorajuría, Tania ; Jamshidi Idaji, Mina; İşcan, Zafer; Gómez Fernández, Marisol ; Nikulin, Vadim V.; Vidaurre, Carmen (Elsevier, 2021)
Artículo / Artikulua
Periodic signals called Steady-State Visual Evoked Potentials (SSVEP) are elicited in the brain by flickering stimuli. They are usually detected by means of regression techniques that need relatively long trial lengths to ... -
Sensorimotor functional connectivity: a neurophysiological factor related to BCI performance
Vidaurre, Carmen ; Haufe, Stefan; Jorajuría, Tania ; Müller, Klaus Robert; Nikulin, Vadim V. (Frontiers Media, 2020)
Artículo / Artikulua
Brain-computer interfaces (BCIs) are systems that allow users to control devices using brain activity alone. However, the ability of participants to command BCIs varies from subject to subject. About 20% of potential users ... -
Toward robustness and performance prediction in Brain-Computer Interfacing
Jorajuría, Tania (2024)
Tesis doctoral / Doktoretza tesia
Las interfaces cerebro-computadora (BCIs, por sus siglas en inglés) leen y decodifican la actividad cerebral. Entre sus muchas aplicaciones, se pueden emplear como una nueva herramienta de comunicación, para controlar un ...
