Abstract: The design and implementation of digital filtering methods to improve electrocardiogram (ECG) signals. MATLAB is used for the development and analysis of low-pass filters with finite impulse response (FIR) and infinite impulse response (IIR) of different orders. The main goal is to eliminate noisy elements like high-frequency interference and baseline drift while keeping the therapeutically meaningful aspects of ECG signals. In terms of signal preservation and noise reduction, the FIR filters with Kaiser windows and the IIR filters based on elliptic responses perform better. The comparative study provides valuable insights for biomedical applications by highlighting the trade-off between filter, complexity, and signal clarity. The results demonstrate that digital filtering techniques are useful instruments for processing ECG signals accurately, which are use in diagnostic and healthcare monitoring systems.

Keywords: Digital Filters, FIR, IIR, ECG Signal Processing, MATLAB, Vivado.

Downloads: | DOI: 10.17148/IJIREEICE.2025.13907