Artículo
SoC-FPGA systems for the acquisition and processing of electroencephalographic signals
Fecha de publicación:
03/11/2021
Editorial:
Institute of Advanced Engineering and Science
Revista:
International Journal of Reconfigurable and Embedded Systems
ISSN:
2089-4864
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Real-time acquisition and processing of electroencephalographic signals have promising applications in the implementation of brain-computer interfaces. These devices allow the user to control a device without performing motor actions, and are usually made up of a biopotential acquisition stage and a personal computer (PC). This structure is very flexible and appropriate for research, but for final users it is necessary to migrate to an embedded system, eliminating the PC from the scheme. The strict real-time processing requirements of such systems justify the choice of a system on a chip field-programmable gate arrays (SoC-FPGA) for its implementation. This article proposes a platform for the acquisition and processing of electroencephalographic signals using this type of device, which combines the parallelism and speed capabilities of an FPGA with the simplicity of a general-purpose processor on a single chip. In this scheme, the FPGA is in charge of the real-time operation, acquiring and processing the signals, while the processor solves the high-level tasks, with the interconnection between processing elements solved by buses integrated into the chip. The proposed scheme was used to implement a brain-computer interface based on steady-state visual evoked potentials, which was used to command a speller. The first tests of the system show that a selection time of 5 seconds per command can be achieved. The time delay between the user’s selection and the system response has been estimated at 343 µs.
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Articulos(LEICI)
Articulos de INSTITUTO DE INVESTIGACIONES EN ELECTRONICA, CONTROL Y PROCESAMIENTO DE SEÑALES
Articulos de INSTITUTO DE INVESTIGACIONES EN ELECTRONICA, CONTROL Y PROCESAMIENTO DE SEÑALES
Citación
Oliva, Matias Javier; Arias García, Pablo Andrés; Spinelli, Enrique Mario; Veiga, Alejandro Luis; SoC-FPGA systems for the acquisition and processing of electroencephalographic signals; Institute of Advanced Engineering and Science; International Journal of Reconfigurable and Embedded Systems; 10; 3; 3-11-2021; 237-248
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