Analyzing Heart Tones to Diagnose Pulmonary Hypertension

Bulletin of the Russian Academy of Sciences Physics 2026

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Authors: M. V. Ryabkov, Грамович Владимир Владимирович, K. V. Dmitriev
DOI: 10.1134/s1062873825714321
Cited by: 0
References: 6

Abstract

Abstract The authors propose a way of diagnosing pulmonary hypertension through machine learning-based analysis of phonocardiograms. The technique offers a cost-effective and non-invasive solution that allows it to be used in primary healthcare. It is particularly valuable for regions with limited access to specialized clinics and highly qualified cardiologists.

Fields of Study & Subjects

Phonocardiography and Auscultation Techniques Artificial Intelligence in Healthcare Non-Invasive Vital Sign Monitoring

Publication details

Journal / source
Bulletin of the Russian Academy of Sciences Physics
Volume
90
Issue
1
Pages
118–122
Publication date
1 January 2026
Language
EN