Filtering Techniques of ECG Signal Using Fir Low Pass Filter with Various Window Techniques

ECG is the graphical recording of the electrical activity of the heart and recognized biological signal used for clinical diagnosis. The ECG signal is very sensitive in nature, and even if small noise mixed with original signal the various characteristics of the signal changes. Filtering of ECG signal is very important because noisy ECG signal can mask some important features of the Electrocardiogram (ECG). Hence it is desirable to reduce this noise for proper analysis of the ECG signal. This paper presents the study of FIR filter using window techniques for ECG signal Processing. The parameters i.e. Power Spectral Density (PSD), average power and signal to noise ratio (SNR) are calculated of ECG signal and compare the performance of different window methods used for FIR filter. One more algorithm called as Peak detection algorithm is also implemented which has shown very good efficiency in smoothing out the waveform and suppressing line noise. For the implementation of this proposed work we use the Image Processing Toolbox under Matlab software