Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes

arXiv:2309.07183v2 Announce Type: replace-cross
Abstract: Respiratory diseases remain a leading cause of mortality worldwide, highlighting the need for faster and more accurate diagnostic tools. This work presents a novel approach leveraging digital stethoscope technology for automatic respiratory disease classification and biometric analysis. Our approach has the potential to significantly enhance traditional auscultation practices. By leveraging one of the largest publicly available medical database of respiratory sounds, we train machine learning models to classify various respiratory health conditions. Our method differs …

abstract analysis arxiv biometric classification cs.lg cs.sd diagnostic digital disease diseases eess.sp faster highlighting mortality novel technology tools type work