RESEARCH ARTICLE Automatic adventitious respiratory sound analysis: A systematic review Renard Xaviero Adhi Pramono, Stuart Bowyer, Esther Rodriguez-Villegas* Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom *
[email protected] Abstract a1111111111 Background a1111111111 Automatic detection or classification of adventitious sounds is useful to assist physicians in a1111111111 a1111111111 diagnosing or monitoring diseases such as asthma, Chronic Obstructive Pulmonary Dis- a1111111111 ease (COPD), and pneumonia. While computerised respiratory sound analysis, specifically for the detection or classification of adventitious sounds, has recently been the focus of an increasing number of studies, a standardised approach and comparison has not been well established. OPEN ACCESS Citation: Pramono RXA, Bowyer S, Rodriguez- Objective Villegas E (2017) Automatic adventitious respiratory sound analysis: A systematic review. To provide a review of existing algorithms for the detection or classification of adventitious PLoS ONE 12(5): e0177926. https://doi.org/ respiratory sounds. This systematic review provides a complete summary of methods used 10.1371/journal.pone.0177926 in the literature to give a baseline for future works. Editor: Thomas Penzel, Charite - UniversitaÈtsmedizin Berlin, GERMANY Received: December 16, 2016 Data sources Accepted: May 5, 2017 A systematic review of English articles published between 1938 and 2016, searched using Published: May 26, 2017 the Scopus (1938-2016)