A unique and ideal integration of wavelet-based total variation (WATV) and empirical Wiener
denoising method is proposed in this article to significantly enhance the signal-to-noise ratio …

This work presents a configurable Internet of Things architecture for acoustical sensing and
analysis for frequent remote respiratory assessments. The proposed system creates a …

Adventitious sounds and their characteristics are the critical indicators of lung dysfunctions.
Unfortunately, the captured lung sound often contains noise interferences, which may hinder …

This study presents fine-tuning and optimization for the hybrid wavelet-based total variation
and empirical Wiener (WATV-Wiener) filter for denoising 1-dimensional lung sound signals …

Chest X-rays and computed tomography scans are highly accurate lung assessment tools,
but their hazardous nature and high cost remain a barrier for many patients. Acoustic …

Foreign object detection is an important measure to guarantee accurate measurement of
electric energy meters. In view of the inefficient manual detection of foreign objects for …