Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anibal Cotrina-Atencio"'
Autor:
Ericka Raiane S. Serafini, Cristian D. Guerrero-Mendez, Teodiano F. Bastos-Filho, Anibal Cotrina-Atencio, Andre F. O. de Azevedo Dantas, Denis Delisle-Rodriguez, Caroline C. do Espirito-Santo
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1896-1905 (2024)
Robotic systems, such as Lokomat® have shown promising results in people with severe motor impairments, who suffered a stroke or other neurological damage. Robotic devices have also been used by people with more challenging damages, such as Spinal C
Externí odkaz:
https://doaj.org/article/8bf9efc286984960875d8a817ef80507
Autor:
André Ferreira, Eduardo Henrique Couto Montenegro, Sandra Mara Torres Muller, Vivianne Cardoso, Alan Floriano, Celso De La Cruz Casaño, Jessica Paola Souza Lima, Alexandre Pomer-Escher, Anselmo Frizera-Neto, Teodiano Bastos-Filho, Jeevan K. Pant, Eliete Caldeira, Richard Junior Manuel Godinez-Tello, Alexandre Luís Cardoso Bissoli, Denis Delisle Rodriguez, Ana Cecilia Villa-Parra, Flavia Loterio, Javier Ferney Castillo Garcia, Christiane Goulart, Maria Dolores Pinheiro de Souza, Mario Sarcinelli-Filho, Leandro Bueno, Dharmendra Gurve, Hamilton Rivera-Flor, Sridhar Krishnan, Muhammad Hasan, Alejandra Romero-Laiseca, Anibal Cotrina Atencio, Kevin A. Hernandez-Ossa, Thomaz Rodrigues Botelho, Berthil Longo
Publikováno v:
Introduction to Non-Invasive EEG-Based Brain–Computer Interfaces for Assistive Technologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ea23043e0f3ef565a962cda382c9efc
https://doi.org/10.1201/9781003049159-3
https://doi.org/10.1201/9781003049159-3
Autor:
Anibal Cotrina Atencio, Javier Castillo, Teodiano Freire Bastos Filho, Alessander Botti Benevides, Alessandro B. Benevides
Publikováno v:
5th ISSNIP-IEEE Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC).
This paper presents an Ethernet sniffer programmed in ANSI C to export in an on-line way the electroencephalographic (EEG) data acquired with the device BrainNet36 ® , which is a Brazilian EEG device for clinical and polysomnography purposes. The sn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1c4775cf5f6edda65cae45f126f8d75
https://doi.org/10.1109/brc.2014.6880964
https://doi.org/10.1109/brc.2014.6880964
Computing stress-related emotional state via frontal cortex asymmetry to be applied in passive-ssBCI
Autor:
Alessandro B. Benevides, Javier Ferney Castillo Garcia, Berthil Longo, Alexandre Porner-Escher, André Ferreira, Anibal Cotrina Atencio, Maria Dolores Pinheiro de Souza, Teodiano Bastos
Publikováno v:
5th ISSNIP-IEEE Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC).
The identification of stress-related emotional states allows the use of a passive single-switch BCI (passive-ssBCI) together with a main multi-class BCI. Thus, the passive-ssBCI could work in the background of the main BCI, allowing it to recognize s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::375f94618b559a5669695b76147e3478
https://doi.org/10.1109/brc.2014.6880974
https://doi.org/10.1109/brc.2014.6880974
Autor:
Teodiano Freire Bastos Filho, André Ferreira, Alessandro B. Benevides, Anibal Cotrina Atencio
Publikováno v:
2013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC).
This paper presents the off-line evaluation of scalp EEG signals registered while a potential brain-computer-interface user was hearing unpleasant sounds. The EEG patterns of event-related desynchronization/synchronization are studied during the huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae7f466d24ad361c302f705635d60460
https://doi.org/10.1109/brc.2013.6487533
https://doi.org/10.1109/brc.2013.6487533
Autor:
Sridhar P. Arjunan, Dinesh Kumar, Anibal Cotrina Atencio, André Ferreira, Teodiano Bastos-Filho
Publikováno v:
IHCI
We present in this paper a study of three EEG signals feature extraction techniques. These techniques have been widely employed in researches of emotional states recognition: statistical characteristics, features based on PSD (Power Spectral Density)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6448b60fb633e443cc1782d51c00069a
https://doi.org/10.1109/ihci.2012.6481860
https://doi.org/10.1109/ihci.2012.6481860
Publikováno v:
ISSNIP Biosignals and Biorobotics Conference 2011.
This paper investigates the modeling of the characteristic vector of a PCASYS approach to fingerprint classification problem. In a previous work, [1] it is proposed a new algorithm based in multiple levels of representation to detect the reference po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e0e324859652c9d3a568461b061777a
https://doi.org/10.1109/brc.2011.5740662
https://doi.org/10.1109/brc.2011.5740662