Listar Comunicaciones y ponencias de congresos DEIM - EIMS Biltzarretako komunikazioak eta txostenak por autor UPNA "Vidaurre, Carmen"

EEG-based endogenous online co-adaptive brain-computer interfaces: strategy for success?

Scherer, Reinhold; Faller, Josef; Sajda, Paul; Vidaurre, Carmen

(IEEE, 2018) Contribución a congreso / Biltzarrerako ekarpena

A Brain-Computer Interface (BCI) translates patterns of brain signals such as the electroencephalogram (EEG) into messages for communication and control. In the case of endogenous systems the reliable detection of induced ...

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 ...

Optimizando desviaciones moderadas ponderadas para interfaces cerebro ordenador

Fumanal Idocin, Javier

; Vidaurre, Carmen

; Gómez Fernández, Marisol

; Urío Larrea, Asier; Pereira Dimuro, Graçaliz

; Bustince Sola, Humberto

(Universidad de Málaga, 2021) Contribución a congreso / Biltzarrerako ekarpena

Las interfaces cerebro-ordenador (BCI) basadas en el análisis de Electroencefalografía (EEG) están compuestas por varios elementos para procesar y clasificar las señales de entrada del cerebro. Una fase relevante de estos ...

Sources of linear and non-linear synchrony between brain and muscles: linear and non-linear CMC sources

Vidaurre, Carmen

; Gómez Fernández, Marisol

; Nolte, Guido; Villringer, Arno; Carlowitz Ghori, Katherina von; Nikulin, Vadim V. (IEEE, 2020) Contribución a congreso / Biltzarrerako ekarpena

This manuscript shows that it is possible to find distinct sources of brain activity, at similar frequencies, arising from linear and non-linear interactions of the brain with the muscular system. Those sources were obtained ...