System on Chip based Brain-Computer Interface

This work presents an autonomous embedded system based on a system on chip that implements a braincomputer interface. The brain-computer interface is based on steady-state visual evoked biopotential and the embedded system on a system on chip which combines a dual-core Cortex-A9 embedded processor w...

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Detalles Bibliográficos
Autores principales: García, Pablo Andrés, Oliva, Matías Javier, Spinelli, Enrique Mario
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Ingeniería Electrónica
Embedded system
System on chip
Assistive Device
Bran-computer Interface
Steady-State Visual Evoked Potential
Speller
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/160821
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-160821
record_format dspace
spelling I19-R120-10915-1608212023-11-28T20:08:51Z http://sedici.unlp.edu.ar/handle/10915/160821 System on Chip based Brain-Computer Interface García, Pablo Andrés Oliva, Matías Javier Spinelli, Enrique Mario 2020-10-30 2020 2023-11-28T17:56:23Z en Ingeniería Electrónica Embedded system System on chip Assistive Device Bran-computer Interface Steady-State Visual Evoked Potential Speller This work presents an autonomous embedded system based on a system on chip that implements a braincomputer interface. The brain-computer interface is based on steady-state visual evoked biopotential and the embedded system on a system on chip which combines a dual-core Cortex-A9 embedded processor with programmable logic for design flexibility. The programmable logic side provides a solution for parallel tasks with strict real-time constraints, and the processor includes capabilities to port an operating system with a graphical user interface, network support, and file system, among others. Initially, a verification of the operative system running on the embedded processor sharing data with the logic side is presented, to find out its real-time capability as a set. Finally, a brain-computer interface based on visual evoked potentials is implemented. Results of this application recovering visual evoked potential on the embedded system, are also presented. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) application/pdf 47-52
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería Electrónica
Embedded system
System on chip
Assistive Device
Bran-computer Interface
Steady-State Visual Evoked Potential
Speller
spellingShingle Ingeniería Electrónica
Embedded system
System on chip
Assistive Device
Bran-computer Interface
Steady-State Visual Evoked Potential
Speller
García, Pablo Andrés
Oliva, Matías Javier
Spinelli, Enrique Mario
System on Chip based Brain-Computer Interface
topic_facet Ingeniería Electrónica
Embedded system
System on chip
Assistive Device
Bran-computer Interface
Steady-State Visual Evoked Potential
Speller
description This work presents an autonomous embedded system based on a system on chip that implements a braincomputer interface. The brain-computer interface is based on steady-state visual evoked biopotential and the embedded system on a system on chip which combines a dual-core Cortex-A9 embedded processor with programmable logic for design flexibility. The programmable logic side provides a solution for parallel tasks with strict real-time constraints, and the processor includes capabilities to port an operating system with a graphical user interface, network support, and file system, among others. Initially, a verification of the operative system running on the embedded processor sharing data with the logic side is presented, to find out its real-time capability as a set. Finally, a brain-computer interface based on visual evoked potentials is implemented. Results of this application recovering visual evoked potential on the embedded system, are also presented.
format Objeto de conferencia
Objeto de conferencia
author García, Pablo Andrés
Oliva, Matías Javier
Spinelli, Enrique Mario
author_facet García, Pablo Andrés
Oliva, Matías Javier
Spinelli, Enrique Mario
author_sort García, Pablo Andrés
title System on Chip based Brain-Computer Interface
title_short System on Chip based Brain-Computer Interface
title_full System on Chip based Brain-Computer Interface
title_fullStr System on Chip based Brain-Computer Interface
title_full_unstemmed System on Chip based Brain-Computer Interface
title_sort system on chip based brain-computer interface
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/160821
work_keys_str_mv AT garciapabloandres systemonchipbasedbraincomputerinterface
AT olivamatiasjavier systemonchipbasedbraincomputerinterface
AT spinellienriquemario systemonchipbasedbraincomputerinterface
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