ECG Signal Denoising Using FIR Filter With Vedic Mathematics

FIR (Finite Impulse Response) filters are essential in Digital Signal Processing (DSP) for performing noise suppression in Electro Cardio Graphs (ECGs), imaging devices, and analog signals. Thus, evaluation of filters is performed to minimize noise. The filter retains the desired frequency and the signal being measured to minimize distortion. For operations, an FIR filter is made up of adders, multipliers and a delay element. Two categories of digital filters are available – FIR, and IIR, with IIR being dependent on the input, complexity, and size specifications. In the case of FIR filters, output performance is heavily influenced by the adders and multipliers incorporated. This work focuses on developing and optimizing the multipliers and adders of an FIR filter to achieve greater performance. Vedic Mathematics is a term for methods that contain 16 Sutras which assist in performing fast mental calculations. In this research work we apply the Kogge Stone fast adder in the direct form FIR filter designed using MATLAB, along with the modified Anurupye Vedic multiplier techniques.