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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/31447
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:19:48Zoai: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:34982025-09-29 10:19:49.176CONICET 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 |
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1844614172876210176 |
score |
13.070432 |