FPGA Implementation of SOBI to Perform BSS in Real Time
نویسندگان
چکیده
Blind Source Separation (BSS) is an effective and powerful tool for source separation and artifact removal in EEG signals. For the real time applications such as Brain Computer Interface (BCI) or clinical Neuro-monitoring, it is of prime importance that BSS is effectively performed in real time. The motivation to implement BSS in Field Programmable Gate Array (FPGA) comes from the hypothesis that the performance of the system could be significantly improved in terms of speed considering the optimal parallelism environment that hardware provides. In this paper, FPGA is used to implement the SOBI algorithm of EEG with a fixed-point algorithm. The results obtained show that, FPGA implementation of SOBI reduces the computation time and thus has great potential for real time.
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