System on Chip based Brain-Computer Interface

Autores
García, Pablo Andrés; Oliva, Matías Javier; Spinelli, Enrique Mario
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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
Materia
Ingeniería Electrónica
Embedded system
System on chip
Assistive Device
Bran-computer Interface
Steady-State Visual Evoked Potential
Speller
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/160821

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network_name_str SEDICI (UNLP)
spelling System on Chip based Brain-Computer InterfaceGarcía, Pablo AndrésOliva, Matías JavierSpinelli, Enrique MarioIngeniería ElectrónicaEmbedded systemSystem on chipAssistive DeviceBran-computer InterfaceSteady-State Visual Evoked PotentialSpellerThis 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 Señales2020-10-30info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf47-52http://sedici.unlp.edu.ar/handle/10915/160821enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:42:06Zoai:sedici.unlp.edu.ar:10915/160821Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:42:07.234SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv System on Chip based Brain-Computer Interface
title System on Chip based Brain-Computer Interface
spellingShingle System on Chip based Brain-Computer Interface
García, Pablo Andrés
Ingeniería Electrónica
Embedded system
System on chip
Assistive Device
Bran-computer Interface
Steady-State Visual Evoked Potential
Speller
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
dc.creator.none.fl_str_mv García, Pablo Andrés
Oliva, Matías Javier
Spinelli, Enrique Mario
author García, Pablo Andrés
author_facet García, Pablo Andrés
Oliva, Matías Javier
Spinelli, Enrique Mario
author_role author
author2 Oliva, Matías Javier
Spinelli, Enrique Mario
author2_role author
author
dc.subject.none.fl_str_mv Ingeniería Electrónica
Embedded system
System on chip
Assistive Device
Bran-computer Interface
Steady-State Visual Evoked Potential
Speller
topic Ingeniería Electrónica
Embedded system
System on chip
Assistive Device
Bran-computer Interface
Steady-State Visual Evoked Potential
Speller
dc.description.none.fl_txt_mv 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
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.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-30
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/160821
url http://sedici.unlp.edu.ar/handle/10915/160821
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.format.none.fl_str_mv application/pdf
47-52
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instname:Universidad Nacional de La Plata
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instname_str Universidad Nacional de La Plata
instacron_str UNLP
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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