An embedded system for evoked biopotential acquisition and processing

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...

Descripción completa

Detalles Bibliográficos
Autores principales: García, Pablo Andrés, Spinelli, Enrique Mario, Toccaceli, Graciela Mabel
Formato: Articulo
Lenguaje:Inglés
Publicado: 2014
Materias:
Ingeniería Electrónica
Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/99870
https://ri.conicet.gov.ar/11336/31447
https://www.inderscienceonline.com/doi/abs/10.1504/IJES.2014.060920
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-99870
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería Electrónica
Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
spellingShingle Ingeniería Electrónica
Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
García, Pablo Andrés
Spinelli, Enrique Mario
Toccaceli, Graciela Mabel
An embedded system for evoked biopotential acquisition and processing
topic_facet Ingeniería Electrónica
Embedded system
Micro2440
Latency
Stream interface driver
Assistive device
Brain computer interface
Evoked potential
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.
format Articulo
Articulo
author García, Pablo Andrés
Spinelli, Enrique Mario
Toccaceli, Graciela Mabel
author_facet García, Pablo Andrés
Spinelli, Enrique Mario
Toccaceli, Graciela Mabel
author_sort García, Pablo Andrés
title An embedded system for evoked biopotential acquisition and processing
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 embedded system for evoked biopotential acquisition and processing
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/99870
https://ri.conicet.gov.ar/11336/31447
https://www.inderscienceonline.com/doi/abs/10.1504/IJES.2014.060920
work_keys_str_mv AT garciapabloandres anembeddedsystemforevokedbiopotentialacquisitionandprocessing
AT spinellienriquemario anembeddedsystemforevokedbiopotentialacquisitionandprocessing
AT toccaceligracielamabel anembeddedsystemforevokedbiopotentialacquisitionandprocessing
AT garciapabloandres embeddedsystemforevokedbiopotentialacquisitionandprocessing
AT spinellienriquemario embeddedsystemforevokedbiopotentialacquisitionandprocessing
AT toccaceligracielamabel embeddedsystemforevokedbiopotentialacquisitionandprocessing
bdutipo_str Repositorios
_version_ 1764820493380091908

Ejemplares similares