Revealing and evaluating the influence of filters position in cascaded filter: application on the ECG de-noising performance disparity

In this paper, a new optimization on windowing technique based finite impulse response (FIR) filters is proposed for revealing and evaluating the Influence of position in cascaded filter tested ECG signal de-noising. baseline wander (BLW), power line interference (PLI) electromyography (EMG) noises are getting removed. The performance adopted method evaluated PTB diagnostic database. Subsequently, comparisons to noise ratio (SNR) improvement mean square error (MSE) minimization. Where Rectangular, Kaiser windows have been used more potent performances. disparity average (DA) SNR values detected; both Rectangular assessed by ±0.38046dB ±0.70278dB respectively, while MSE were constant. excellent configuration or (H-B-L) filtration system selected according high measurements low too, de-noise signals. First all, applied approach has led 31.30 dB with minimization 26. 43%. This means that there significant contribution improving field filtration.