Restoration of Lung Sound Signals Using a Hybrid Wavelet-Based Approach

A unique and ideal integration of wavelet-based total variation (WATV) empirical Wiener denoising method is proposed in this article to significantly enhance the signal-to-noise ratio (SNR) while preserving characteristics a lung sound signal. While individual filters based on single basis function have been employed past, outcome has unsatisfactory because only significant (signal) wavelet coefficients are considered for analysis. The new (WATV-Wiener) hybrid technique, here, takes into account both insignificant (noise) noisy An intensive analysis selecting fine-tuning WATV-Wiener filter parameters presented here through simulation studies. applied onto different 1-D signals noise levels led an optimal root mean square error (RMSE) compared with seven other state-of-the-art reported literature. achieved our studies 3–20-dB improvement SNR, average SNR was improved by 4–30 dB experiment. We also observed that less sensitive values input Furthermore, obtains similar performance between continuous piecewise signal (wheeze) noncontinuous (crackle) experimental