Respiratory sound analysis in the era of evidence-based medicine and the world of medicine 2.0 • JML Journal of Medicine and Life

2018, Volume 11, Issue 2, pp 89 – 106

Respiratory sound analysis in the era of evidence-based medicine and the world of medicine 2.0

Issues

Special Issues

Authors and Affiliations

Andrès E ^*

Gass R ^**

Charloux A ^***

Brandt C ^****

Hentzler A ^*****

* *Department of Internal Medicine, Clinique Médicale B, Hôpitaux Universitaires de Strasbourg, Strasbourg, France

** **Technical Academy Fellow, Alcatel-Lucent, Independent expert, Bolsenheim, France

*** ***Department of Physiology and Lung Function Exploration, Hôpitaux Universitaires de Strasbourg, Strasbourg, France

**** ****Department of Cardiology, Clinique Médicale B, Hôpitaux Universitaires de Strasbourg, Strasbourg, France

***** *****Physics Engineer, General Director INCOTEC, Illkirch Graffenstaden, France

Correspondence to: Prof. E. Andrès, Service de Médecine Interne, Diabète et Maladies Métaboliques, Clinique Médicale B, Hôpital Civil – Hôpitaux Universitaires de Strasbourg, 1 porte de l’Hôpital, 67091 Strasbourg Cedex, France. Tel: +33 3-33-88-11-50-66. Fax: +33 3-33-88-11-62-62. Email: emmanuel.andres@chru-strasbourg.fr

Abstract

Objective: This paper describes the state of the art, scientific publications, and ongoing research related to the methods of analysis of respiratory sounds.

Methods and Material: Narrative review of the current medical and technological literature using Pubmed and personal experience.

Results: We outline the various techniques that are currently being used to collect auscultation sounds and provide a physical description of known pathological sounds for which automatic detection tools have been developed. Modern tools are based on artificial intelligence and techniques such as artificial neural networks, fuzzy systems, and genetic algorithms.

Conclusion: The next step will consist of finding new markers to increase the efficiency of decision-aiding algorithms and tools.

Keywords

State of the artauscultationrespiratory soundslung soundscrackleswheezesrespiratory phase detectionspectral analysiswaveletrespiratory phase classificationsignal processingartificial neural networksgenetic algorithmmultilayer perceptronfuzzy rule-based identification systemrhonchussnoringsquawkstridor

Preview

JMedLife-11-089

Download PDF

About this article

PMC ID: 6101681
PubMed ID: 30140315
DOI:

Article Publishing Date (print): Apr-Jun 2018
Available Online:

Journal information

ISSN Printing: 1844-122X
ISSN Online: 1844-3117
Journal Title: Journal of Medicine and Life

Copyright License: Open Access

This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.