Paper Title
Adaptive Iir Filter For Tracking And Frequency Estimation Of Electrocardiogram Signals Harmonically

Noise removal techniques play a significant role in the performance of electrocardiographic (ECG) signal processing systems. ECG signals can be corrupted by various kinds of noise such as baseline wander noise, electromyographic interference, powerline interference, etc. One of the significant challenges in ECG signal processing is the degradation caused by additive 50 or 60 Hz powerline interference. This work investigates the removal of power line interference and suppression of transient response for filtering noise corrupted ECG signals. We demonstrate the effectiveness of infinite impulse response (IIR) notch filter with harmonic frequency tracking for improving the transient behavior. The proposed algorithm utilizes harmonic frequency tracking to significantly reduce the transient effect when eliminating a sinusoidal interference in signal enhancement. Simulation results show that the proposed IIR filter with harmonic frequency tracking outperforms traditional IIR notch filters in terms of mean square error and transient suppression. Keywords - IIR Filter, ECG.