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The cardiovascular disease is having major impact on human life, in order to diagnose the cardiovascular disease ECG retention along with its information has a got prime importance. Mostly ECG reading has got concern of retrieving correct information by reading the ECG at first glance, which is tackled by having an ECG with all desirable information in it. Normally ECG is associated with variety of unwanted frequencies which mostly gives unexpected interpretation or may corrupt the ECG signal. So it is highly desirable that ECG should get rid of from all the unwanted frequencies and it should have an ideal appearance while retrieving, which can be achieved by implementing the Digital Filters. This article describes the cascade combination of Digital FIR filter design and applied to the ECG signal as ECG is disturbed due to variety of noise frequencies. Here the analysis has been carried out by considering the SNR observed at different windowing technique. After analysis of different combination of FIR low pass, high pass and Notch filter, best SNR found in FIR low pass hamming, FIR high pass Rectangular and FIR Notch Rectangular combination. The proposed FIR filter combination has been designed and synthesized in MATLAB environment and implemented on a FPGA VIRETEX-6 device. Keywords -ECG, FPGA, FIR (Finite Impulse Response), signals to noise ratio (SNR), Matlab.

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Median filter is a non-linear filter used in image processing for impulse noise removal. It finds its typical application in the situations where edges are to be preserved for higher level operations like segmentation, object recognition etc. This paper presents an accurate and efficient noise detection and filtering algorithm for impulse noise removal. The algorithm includes two stages: noise detection followed by noise filtering. The proposed algorithm replaces the noisy pixel by using  median value when other pixel values, 0’s or 255’s are present in the selected window and when all the pixel values are 0’s and 255’s then the noise pixel is replaced by mean value of all the elements present in the selected window. Similarly algorithm checks for five different conditions to preserve image details, object boundary in high level of noise densities. This median filter was designed, simulated and synthesized on the Xilinx family of FPGAs (XC3S500E of Spartan-3E). The VHDL was used to design the above 2-D median filter using ISE (Xilinx) tool & tested & compared for different grayscale images.