Title :
A modular hardware platform for brain-computer interface
Author_Institution :
FPGA Lab., CTU in Prague, Prague, Czech Republic
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;
Conference_Titel :
Applied Electronics (AE), 2012 International Conference on
Print_ISBN :
978-1-4673-1963-8