An embedded system for evoked biopotential acquisition and processing

Autores
Garcia, Pablo Andres; 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.
Fil: Garcia, Pablo Andres. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Spinelli, Enrique Mario. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Toccaceli, Graciela Mabel. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/31447
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/31447
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An embedded system for evoked biopotential acquisition and processingGarcia, Pablo AndresSpinelli, Enrique MarioToccaceli, Graciela MabelEmbedded systemMicro2440LatencyStream interface driverAssistive deviceBrain computer interfaceEvoked potentialhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This 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.Fil: Garcia, Pablo Andres. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Spinelli, Enrique Mario. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Toccaceli, Graciela Mabel. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaInderscience Enterprises2014-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/31447Toccaceli, Graciela Mabel; Spinelli, Enrique Mario; Garcia, Pablo Andres; An embedded system for evoked biopotential acquisition and processing ; Inderscience Enterprises; International Journal of Embedded Systems; 6; 1; 5-2014; 86-931741-10681741-1076CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1504/IJES.2014.060920info:eu-repo/semantics/altIdentifier/url/https://www.inderscienceonline.com/doi/abs/10.1504/IJES.2014.060920info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:52:29Zoai:ri.conicet.gov.ar:11336/31447instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:52:29.672CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
Garcia, Pablo Andres
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 Garcia, Pablo Andres
Spinelli, Enrique Mario
Toccaceli, Graciela Mabel
author Garcia, Pablo Andres
author_facet Garcia, Pablo Andres
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 Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
topic Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
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.
Fil: Garcia, Pablo Andres. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Spinelli, Enrique Mario. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Toccaceli, Graciela Mabel. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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
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://hdl.handle.net/11336/31447
Toccaceli, Graciela Mabel; Spinelli, Enrique Mario; Garcia, Pablo Andres; An embedded system for evoked biopotential acquisition and processing ; Inderscience Enterprises; International Journal of Embedded Systems; 6; 1; 5-2014; 86-93
1741-1068
1741-1076
CONICET Digital
CONICET
url http://hdl.handle.net/11336/31447
identifier_str_mv Toccaceli, Graciela Mabel; Spinelli, Enrique Mario; Garcia, Pablo Andres; An embedded system for evoked biopotential acquisition and processing ; Inderscience Enterprises; International Journal of Embedded Systems; 6; 1; 5-2014; 86-93
1741-1068
1741-1076
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1504/IJES.2014.060920
info:eu-repo/semantics/altIdentifier/url/https://www.inderscienceonline.com/doi/abs/10.1504/IJES.2014.060920
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Inderscience Enterprises
publisher.none.fl_str_mv Inderscience Enterprises
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846782216494907392
score 12.982451

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