Jove
Visualize
Contact Us

Related Experiment Videos

[Respiratory sounds]

P Marquet1

  • 1Laboratoire de Physiologie, Faculté de Médecine, Limoges.

Revue Des Maladies Respiratoires
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

Modern respiratory sound analysis moves beyond subjective interpretation. Future technology promises automated detection and classification of breath sounds, enhancing diagnostic power.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Managing Delayed or Missed Doses of Prolonged-Release Tacrolimus in Transplant Recipients: Implications for Drug Exposure and Recovery Strategies.

Basic & clinical pharmacology & toxicology·2025
Same author

Estimation of the prevalence of uterine infertility and its different causes in France according to data from a literature review.

Journal of gynecology obstetrics and human reproduction·2023
Same author

The scientific basis of rational prescribing. A guide to precision clinical pharmacology based on the WHO 6-step method.

European journal of clinical pharmacology·2020
Same author

Changes in the metabolic composition of storage solution with prolonged cold ischemia of the uterus.

Journal of assisted reproduction and genetics·2019
Same author

Dual action of L-Lactate on the activity of NR2B-containing NMDA receptors: from potentiation to neuroprotection.

Scientific reports·2018
Same author

Structural patterns of the human ABCC4/MRP4 exporter in lipid bilayers rationalize clinically observed polymorphisms.

Pharmacological research·2018
Same journal

[French version of the guidelines for connective tissue disease-associated ILD].

Revue des maladies respiratoires·2026
Same journal

[Pulmonary expression of an asymptomatic lysosomal storage disorder].

Revue des maladies respiratoires·2026
Same journal

[Factors associated with FEV1 evolution in cystic fibrosis patients treated by CFTR modulator tritherapy].

Revue des maladies respiratoires·2026
Same journal

[Subacute pulmonary coccidioidomycosis: A differential diagnosis of lung cancer].

Revue des maladies respiratoires·2026
Same journal

[Relevance of the ACT score in severe asthma with obesity: A pilot study].

Revue des maladies respiratoires·2026
Same journal

[Automated analysis of mandibular movements for the screening of obstructive sleep apnea].

Revue des maladies respiratoires·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Area of Science:

  • Pulmonology
  • Acoustics
  • Medical Diagnostics

Context:

  • Historical auscultation by Laennec relied on subjective interpretation.
  • Mid-20th century technical studies introduced objective classification of adventitious breath sounds.
  • Current research focuses on the time evolution of respiratory sound characteristics.

Purpose:

  • To review the evolution of respiratory sound analysis from historical auscultation to modern techniques.
  • To highlight the limitations of subjective interpretation in traditional semiology.
  • To explore the potential of advanced technology in respiratory diagnostics.

Summary:

  • Breath sound analysis has evolved from Laennec's subjective methods to objective classifications based on physical characteristics.

Related Experiment Videos

  • Describing waveforms is established, but analyzing the time evolution (frequency-amplitude-time) of sounds, especially crackles, requires further research.
  • Technological advancements are expected to enable automatic detection and classification of respiratory noises.

    • Impact:

    • Improved understanding of respiratory sound production mechanisms and sites.
    • Enhanced diagnostic power for auscultation, both traditional and instrumental.
    • Potential for auscultation to achieve the status of a respiratory function test.