DocumentCode :
3564590
Title :
A modular hardware platform for brain-computer interface
Author :
St´astny, J.
Author_Institution :
FPGA Lab., CTU in Prague, Prague, Czech Republic
fYear :
2012
Firstpage :
287
Lastpage :
290
Abstract :
The contribution presents a novel high-performance, low power BCI architecture allowing a single-chip implementation of a BCI device. FPGA platform is used to reach high performance and low power consumption; to speed up the development cycle, high-level synthesis of DSP algorithms is employed. A novel highly modular architecture with many advantages (configurability, possibility of independent development, topological compatibility with 2D FPGA fabric, scalability, and high computational power) is proposed. The first block of the system is designed to prove the feasibility of the whole concept. Usage of high level synthesis is shown to reduce the development time about ten times compared to the standard RTL flow while generating design small enough so as we may fit the complete BCI pipeline into one FPGA device.
Keywords :
biomedical electronics; brain-computer interfaces; digital signal processing chips; field programmable gate arrays; high level synthesis; logic design; performance evaluation; power aware computing; 2D FPGA fabric; BCI architecture configurability; BCI architecture scalability; BCI pipeline; DSP algorithms; brain-computer interface; computational power; development time reduction; digital signal processing; field programmable gate arrays; high level synthesis; high-performance low-power BCI architecture; independent development possibility; modular hardware platform; power consumption; single-chip implementation; topological compatibility; Computer architecture; Digital signal processing; Electroencephalography; Field programmable gate arrays; Hardware; Signal processing algorithms; Tiles; BCI; FPGA; high level synthesis; modular system; movement imagery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Electronics (AE), 2012 International Conference on
ISSN :
1803-7232
Print_ISBN :
978-1-4673-1963-8
Type :
conf
Filename :
6328899
Link To Document :
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