Title: An embedded system for evoked biopotential acquisition and processing

Authors: Pablo Andrés García; Enrique Mario Spinelli; Graciela Mabel Toccaceli

Addresses: Laboratorio de Electrónica Industrial, Control e Instrumentación. Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional de La Plata, Calle 48 y 116. CC91. CP 1900, La Plata, Buenos Aires, Argentina ' Laboratorio de Electrónica Industrial, Control e Instrumentación, Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional de La Plata, Calle 48 y 116. CC 91. CP 1900, La Plata, Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, Av. Rivadavia 1917. CP C1033AAJ, Ciudad Autónoma de Buenos Aires, Argentina ' Laboratorio de Electrónica Industrial, Control e Instrumentación, Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional de La Plata, Calle 48 y 116. CC 91. CP 1900, La Plata, Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, Av. Rivadavia 1917. CP C1033AAJ, Ciudad Autónoma de Buenos Aires, Argentina

Abstract: 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.

Keywords: embedded systems; Micro2440; latency; stream interface driver; assistive devices; brain computer interface; BCI; evoked potential; biopotential acquisition; biopotential processing; medical equipment.

DOI: 10.1504/IJES.2014.060920

International Journal of Embedded Systems, 2014 Vol.6 No.1, pp.86 - 93

Received: 05 Jul 2013
Accepted: 14 Sep 2013

Published online: 31 Jul 2014 *

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