An embedded system for evoked biopotential acquisition and processing

Autores
García, Pablo Andrés; Spinelli, Enrique Mario; Toccaceli, Graciela Mabel
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work presents an autonomous embedded system for evoked biopotential acquisition and processing. The system is versatile and can be used on different evoked potential scenarios like medical equipments or brain computer interfaces, fulfilling the strict real-time constraints that they impose. The embedded system is based on an ARM9 processor with capabilities to port a real-time operating system. Initially, a benchmark of the Windows CE operative system running on the embedded system is presented in order 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 using two techniques: the fast Fourier transform and stimulus locked inter trace correlation, are also presented.
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
Materia
Ingeniería Electrónica
Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/99870
Acceder
id SEDICI_22427734e6095367b1976b65bf956802
oai_identifier_str oai:sedici.unlp.edu.ar:10915/99870
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling An embedded system for evoked biopotential acquisition and processingGarcía, Pablo AndrésSpinelli, Enrique MarioToccaceli, Graciela MabelIngeniería ElectrónicaEmbedded systemMicro2440LatencyStream interface driverAssistive deviceBrain computer interfaceEvoked potentialThis work presents an autonomous embedded system for evoked biopotential acquisition and processing. The system is versatile and can be used on different evoked potential scenarios like medical equipments or brain computer interfaces, fulfilling the strict real-time constraints that they impose. The embedded system is based on an ARM9 processor with capabilities to port a real-time operating system. Initially, a benchmark of the Windows CE operative system running on the embedded system is presented in order 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 using two techniques: the fast Fourier transform and stimulus locked inter trace correlation, are also presented.Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales2014-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf86-93http://sedici.unlp.edu.ar/handle/10915/99870enginfo:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/31447info:eu-repo/semantics/altIdentifier/url/https://www.inderscienceonline.com/doi/abs/10.1504/IJES.2014.060920info:eu-repo/semantics/altIdentifier/issn/1741-1076info:eu-repo/semantics/altIdentifier/doi/10.1504/IJES.2014.060920info:eu-repo/semantics/altIdentifier/hdl/11336/31447info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:20:01Zoai:sedici.unlp.edu.ar:10915/99870Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:20:01.94SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An embedded system for evoked biopotential acquisition and processing
title An embedded system for evoked biopotential acquisition and processing
spellingShingle An embedded system for evoked biopotential acquisition and processing
García, Pablo Andrés
Ingeniería Electrónica
Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
title_short An embedded system for evoked biopotential acquisition and processing
title_full An embedded system for evoked biopotential acquisition and processing
title_fullStr An embedded system for evoked biopotential acquisition and processing
title_full_unstemmed An embedded system for evoked biopotential acquisition and processing
title_sort An embedded system for evoked biopotential acquisition and processing
dc.creator.none.fl_str_mv García, Pablo Andrés
Spinelli, Enrique Mario
Toccaceli, Graciela Mabel
author García, Pablo Andrés
author_facet García, Pablo Andrés
Spinelli, Enrique Mario
Toccaceli, Graciela Mabel
author_role author
author2 Spinelli, Enrique Mario
Toccaceli, Graciela Mabel
author2_role author
author
dc.subject.none.fl_str_mv Ingeniería Electrónica
Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
topic Ingeniería Electrónica
Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
dc.description.none.fl_txt_mv This work presents an autonomous embedded system for evoked biopotential acquisition and processing. The system is versatile and can be used on different evoked potential scenarios like medical equipments or brain computer interfaces, fulfilling the strict real-time constraints that they impose. The embedded system is based on an ARM9 processor with capabilities to port a real-time operating system. Initially, a benchmark of the Windows CE operative system running on the embedded system is presented in order 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 using two techniques: the fast Fourier transform and stimulus locked inter trace correlation, are also presented.
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
description This work presents an autonomous embedded system for evoked biopotential acquisition and processing. The system is versatile and can be used on different evoked potential scenarios like medical equipments or brain computer interfaces, fulfilling the strict real-time constraints that they impose. The embedded system is based on an ARM9 processor with capabilities to port a real-time operating system. Initially, a benchmark of the Windows CE operative system running on the embedded system is presented in order 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 using two techniques: the fast Fourier transform and stimulus locked inter trace correlation, are also presented.
publishDate 2014
dc.date.none.fl_str_mv 2014-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/99870
url http://sedici.unlp.edu.ar/handle/10915/99870
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/31447
info:eu-repo/semantics/altIdentifier/url/https://www.inderscienceonline.com/doi/abs/10.1504/IJES.2014.060920
info:eu-repo/semantics/altIdentifier/issn/1741-1076
info:eu-repo/semantics/altIdentifier/doi/10.1504/IJES.2014.060920
info:eu-repo/semantics/altIdentifier/hdl/11336/31447
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
86-93
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616074223419392
score 13.070432

Publicaciones similares