Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Gerardo Gabriel Gentiletti"'
Publikováno v:
Revista Tecnología y Ciencia. :146-156
En el marco de la tesis de doctorado, se plantea como objetivo el desarrollo de una Interfaz Hombre-Máquina para comandar un brazo robótico asistencial de más de 6 grados de libertad. Se presenta el uso de técnicas de aprendizaje profundo para el
Publikováno v:
IFMBE Proceedings ISBN: 9783030306472
An important application for Brain-Computer Interfaces (BCI) is using them for spelling task in subjects with severe motor disabilities. Most BCI spellers are based on the matrix proposed by Farwell and Donchin [1] or variations of these. Several def
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a669214c922803df7e30093a9055630
https://doi.org/10.1007/978-3-030-30648-9_135
https://doi.org/10.1007/978-3-030-30648-9_135
Autor:
J.G. Gebhart, Oscar Yanez-Suarez, Gerardo Gabriel Gentiletti, Verónica Medina-Bañuelos, Ruben Acevedo
Publikováno v:
IRBM. 30:218-225
Objective The goal of this research was to design, set up, use and evaluate a realistic simulation platform that could host real-time simulated robotics applications controlled with a brain-computer interface based on an event-related potential parad
Autor:
Iván Gareis, Yanina Atum, V. Medina Bañuelos, Gerardo Gabriel Gentiletti, H. L. Rufiner, Ruben Acevedo
Publikováno v:
V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21, 2011, Habana, Cuba ISBN: 9783642211973
The brain-computer interfaces (BCI) translate brain activity into commands for a computer. To improve the performance of BCI, it is necessary to improve the feature extraction techniques that are used to decode the intentions of the users and get a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36cf335f4e0241c054a1fe69a51c4738
https://doi.org/10.1007/978-3-642-21198-0_301
https://doi.org/10.1007/978-3-642-21198-0_301
Publikováno v:
Universidad Autónoma Metropolitana
UAM
Repositorio Institucional de la UAM Iztapalapa
UAM
Repositorio Institucional de la UAM Iztapalapa
El método propuesto es evaluado directamente en términos del desempeño de clasificadores basados en SVM para la detección de presencia de respuestas evocadas P300, comparando restauraciones basadas en ICA y SPCA contra las señales originales con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5db8d045b17f9e4fb9609b9f91340fb5
http://www.remeri.org.mx/portal/REMERI.jsp?id=oai:tesiuami.izt.uam.mx:UAMI16005
http://www.remeri.org.mx/portal/REMERI.jsp?id=oai:tesiuami.izt.uam.mx:UAMI16005
Publikováno v:
Journal of Physics: Conference Series. 705:012058
Nowadays, strokes are a growing cause of mortality and many people remain with motor sequelae and troubles in the daily activities. To treat this sequelae, alternative rehabilitation techniques are needed. In this article a Brain Computer Interface (
Publikováno v:
Journal of Physics: Conference Series. 705:012062
The illusion of the mirror box is a tool for phantom limb pain treatment; this article proposes the induction of phantom limb syndrome on non-amputees upper limb, with a neurological trick of the mirror box. With two study situations: a) Somatic Indu
Autor:
Yanina Atum, Gerardo Gabriel Gentiletti, Ruben Acevedo, H. L. Rufiner, Iván Gareis, Verónica Medina Bañuelos
Publikováno v:
2011 5th International IEEE/EMBS Conference on Neural Engineering.
Brain computer interfaces (BCIs) translate brain activity into computer commands. To enhance the performance of a BCI, it is necessary to improve the feature extraction techniques being applied to decode the users' intentions. Objective comparison me
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2010
A Brain Computer Interface is a system that provides an artificial communication between the human brain and the external world. The paradigm based on event related evoked potentials is used in this work. Our main goal was to efficiently solve a bina
Detection of Steady-State Visual Evoked Potentials based on the Multisignal Classification Algorithm
Publikováno v:
2007 3rd International IEEE/EMBS Conference on Neural Engineering.
In this work we evaluated a method for detection of steady-state visual evoked potentials in one-second EEG recordings, based on the multisignal classification (MUSIC) algorithm and support vector machine classification. Three experiments were carrie