Zobrazeno 1 - 7
of 7
pro vyhledávání: '"M. Teresa Medina-Juliá"'
Autor:
Ricardo Ron-Angevin, M. Teresa Medina-Juliá, Álvaro Fernández-Rodríguez, Francisco Velasco-Álvarez, Jean-Marc Andre, Veronique Lespinet-Najib, Liliana Garcia
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2021)
Brain-Computer Interface (BCI) systems enable an alternative communication channel for severely-motor disabled patients to interact with their environment using no muscular movements. In recent years, the importance of research into non-gaze dependen
Externí odkaz:
https://doaj.org/article/c3c968c3cebb4da19339fd4a21390fa2
Autor:
M. Teresa Medina-Juliá, Álvaro Fernández-Rodríguez, Francisco Velasco-Álvarez, Ricardo Ron-Angevin
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
Brain-computer interface (BCI) spellers allow severe motor-disabled patients to communicate using their brain activity without muscular mobility. Different visual configurations of the widely studied P300-based BCI speller had been assessed with heal
Externí odkaz:
https://doaj.org/article/85d90649f8d2402b978b5ebe9cf88710
Autor:
Salvador Sancha-Ros, Esther García-Garaluz, Álvaro Fernández-Rodríguez, Francisco Velasco-Álvarez, M. Teresa Medina-Juliá, Ricardo Ron-Angevin
Publikováno v:
Computer Methods and Programs in Biomedicine. 172:127-138
Background and Objective Some neurodegenerative conditions can severely limit patients' capability to communicate because of the loss of muscular control. Brain-computer interfaces may help in the restoration of communication with these patients, byp
Autor:
Álvaro Fernández-Rodríguez, M. Teresa Medina-Juliá, Véronique Lespinet-Najib, Jean-Marc André, Francisco Velasco-Álvarez, Liliana Garcia, Ricardo Ron-Angevin
Publikováno v:
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience, Frontiers, 2021, 14, ⟨10.3389/fncom.2020.587702⟩
Frontiers in Computational Neuroscience, Vol 14 (2021)
Frontiers in Computational Neuroscience, Frontiers, 2021, 14, ⟨10.3389/fncom.2020.587702⟩
Frontiers in Computational Neuroscience, Vol 14 (2021)
Brain-Computer Interface (BCI) systems enable an alternative communication channel for severely-motor disabled patients to interact with their environment using no muscular movements. In recent years, the importance of research into non-gaze dependen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d966b9d624345640f2c29151f3e47231
https://hal.archives-ouvertes.fr/hal-03103725
https://hal.archives-ouvertes.fr/hal-03103725
Autor:
Álvaro Fernández-Rodríguez, M. Teresa Medina-Juliá, Ricardo Ron-Angevin, Francisco Velasco-Álvarez
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
Frontiers in Human Neuroscience
Frontiers in Human Neuroscience
Brain-computer interface (BCI) spellers allow severe motor-disabled patients to communicate using their brain activity without muscular mobility. Different visual configurations of the widely studied P300-based BCI speller had been assessed with heal
Autor:
M. Teresa Medina-Juliá, Francisco Velasco-Álvarez, Ricardo Ron-Angevin, Álvaro Fernández-Rodríguez
Publikováno v:
Neuroscience letters. 709
Previous works using a visual P300-based speller have reported an improvement modifying the shape or colour of the presented stimulus. However, the effects of both blended factors have not been yet studied. Thus, the aim of the present work was to st
Autor:
Francisco Velasco-Álvarez, Álvaro Fernández-Rodríguez, M. Teresa Medina-Juliá, Ricardo Ron-Angevin
Publikováno v:
Journal of Neural Engineering. 18:026023
Objective. The use of natural sounds in auditory brain–computer interfaces (BCI) has been shown to improve classification results and usability. Some auditory BCIs are based on stream segregation, in which the subjects must attend one audio stream