Phonocardiography and Auscultation Techniques
This cluster of papers focuses on the analysis, classification, and diagnostic aid of cardiac and respiratory sounds. It covers topics such as heart sound segmentation, lung sound classification, machine learning applications, auscultation skills, and the use of artificial neural networks for pathology detection.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.