Журнал академических исследований Нового Узбекистана 3-jild 5-son (2026) · 37–41-betlar

COMPARATIVE ANALYSIS OF FIR FILTER DESIGN METHODS FOR ECG SIGNAL DENOISING: WINDOW-BASED AND PARKS–MCCLELLAN APPROACHES

Haydarov, Sh. T, Abdurashitova, Muniskhon

DOI: 10.5281/zenodo.20394185 · Manbada o'qish → · PDF (manba serverida)

Annotatsiya

Electrocardiogram (ECG) signals are routinely corrupted by powerline interference (50/60 Hz), baseline wander (0–0.5 Hz), and electromyographic (EMG) noise, all of which degrade clinical diagnostic accuracy. This paper presents a MATLAB-based comparative study of three finite impulse response (FIR) filter design methods — the Hamming window, the Kaiser window, and the Parks–McClellan equiripple algorithm — applied to a synthetic ECG signal contaminated with additive white Gaussian noise and 50 Hz powerline interference. Performance is evaluated using signal-to-noise ratio improvement (∆SNR), mean squared error (MSE), and computational filter order. Results show that the Parks–McClellan design achieves the highest ∆SNR (18.4 dB) with the lowest filter order (N = 63) relative to window-based methods, confirming its superiority for real-time biomedical signal processing. Complete MATLAB source code is provided for reproducibility.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.