An open access database for the evaluation of respiratory sound classification algorithms

2019278 citationsJournal Article

Authors

Bruno Rocha · University of Coimbra

Dimitris Filos · Aristotle University of Thessaloniki

Luís Mendes · Association for Innovation and Biomedical Research on Light and Image

Görkem Serbes · Yıldız Technical University

Sezer Ulukaya · Trakya University

Yasemin P. Kahya · Boğaziçi University

Nikša Jakovljević

Abstract

The creation and public release of this database will be useful to the research community and could bring attention to the respiratory sound classification problem.

Topics & Keywords

Phonocardiography and Auscultation Techniques Respiratory and Cough-Related Research Music and Audio Processing

UN Sustainable Development Goals

Partnerships for the goals

Publication Details

Published in: Physiological Measurement

Volume 40, Issue 3, pp. 035001-035001

DOI: 10.1088/1361-6579/ab03ea

Field-Weighted Citation Impact: 18.00