Background. Brain computer interface (BCI) is a combination of software and hardware communication protocols that allow brain\nto control external devices. Main purpose of BCI controlled external devices is to provide communication medium for disabled\npersons.Now these devices are considered as a new way to rehabilitate patients with impunities. There are certain potentials present\nin electroencephalogram(EEG) that correspond to specific event.Main issue is to detect such event related potentials online in such\na low signal to noise ratio (SNR). In this paper we propose amethod that will facilitate the concept of online processing by providing\nan efficient filtering implementation in a hardware friendly environment by switching to finite impulse response (FIR).Main focus\nof this research is to minimize latency and computational delay of preprocessing related to any BCI application. Four different finite\nimpulse response (FIR) implementations along with large Laplacian filter are implemented in Xilinx System Generator. Efficiency\nof 25% is achieved in terms of reduced number of coefficients and multiplications which in turn reduce computational delays\naccordingly.
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