Comparison of Fir and Iir Filters Using Ecg Signal With Different Sampling Frequencies

Over the last few decades, the use of digital signal processing has become increasingly popular in the digital world. This is mainly due to its ability to efficiently transform digital and/or analog signals, thereby reducing the cost associated with design and implementation. Filtering is typically used to remove noise from the desired signal. In signal processing, there are two main types of filters: finite impulse response (FIR) filters and infinite impulse response (IIR) filters. FIR filters have an impulse response of finite duration, meaning it settles to zero in a finite amount of time. On the other hand, IIR filters have an impulse response of infinite duration due to the use of feedback from previous output values, allowing them to achieve the same filtering characteristic as FIR filters with less memory and calculations.The goal of this project is to utilize various window techniques to implement minimum order FIR and IIR filters that meet specific specifications for Electrocardiogram (ECG) signals. By comparing the performance of both FIR and IIR digital filters, the project aims to assess their effectiveness in achieving a linear phase response and passing signals without phase distortion.