Jove
Visualize
Contact Us
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

Related Experiment Videos

Parametric representation of normal breath sounds.

N Gavriely1, M Herzberg

  • 1Department of Physiology and Biophysics, Faculty of Medicine, Haifa, Israel.

Journal of Applied Physiology (Bethesda, Md. : 1985)
|November 1, 1992
PubMed
Summary

Autoregressive (AR) modeling offers a new way to analyze lung sounds, showing consistent patterns in normal tracheal and chest wall breathing. This method provides a reliable alternative to the fast Fourier transform (FFT) for lung sound analysis.

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

Sustainable micropollutant bioremediation via stormwater biofiltration system.

Water research·2022
Same author

Magnetic particle imaging for artifact-free imaging of intracranial flow diverter stents: A phantom study.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2021
Same author

Low-Profile Intra-Aneurysmal Flow Disruptor WEB 17 versus WEB Predecessor Systems for Treatment of Small Intracranial Aneurysms: Comparative Analysis of Procedural Safety and Feasibility.

AJNR. American journal of neuroradiology·2019
Same author

Response to Letter to the Editor "Preoperative Digital Subtraction Angiography in Incidental Unruptured Intracranial Aneurysms".

Clinical neuroradiology·2018
Same author

Synergistic gold-copper detoxification at the core of gold biomineralisation in Cupriavidus metallidurans.

Metallomics : integrated biometal science·2018
Same author

Interplay between seven secondary metal uptake systems is required for full metal resistance of Cupriavidus metallidurans.

Metallomics : integrated biometal science·2016

Area of Science:

  • Respiratory acoustics
  • Signal processing in medicine
  • Biomedical engineering

Background:

  • Traditional analysis of lung sounds uses the fast Fourier transform (FFT).
  • Parameter estimation methods like autoregressive (AR) modeling offer alternative techniques for lung sound analysis.
  • Lung sounds are inherently nonstationary due to the cyclic nature of breathing.

Purpose of the Study:

  • To evaluate the outcome of autoregressive (AR) modeling for measuring normal lung sounds.
  • To determine suitable AR model orders for chest wall and tracheal sounds.
  • To compare spectral features of lung sounds analyzed by AR modeling and FFT.

Main Methods:

  • Collected simultaneous breath sounds from the tracheae and chest walls of five normal males.

Related Experiment Videos

  • Applied AR modeling to the lung sound data, treating sounds as noise within a quasi-periodic envelope.
  • Normalized sounds to eliminate nonstationarity and determined optimal AR model orders (6-8 for chest wall, 12-16 for tracheal sounds).
  • Compared spectral features using AR modeling (orders 6 and 12) with FFT analysis.

    • Main Results:

    • AR modeling demonstrated that normal lung sounds exhibit low variability across individuals.
    • Suitable AR model orders were identified: 6-8 for chest wall sounds and 12-16 for tracheal sounds.
    • Spectral features derived from AR modeling closely matched those from FFT analysis.

    Conclusions:

    • AR modeling provides a viable alternative for analyzing the spectral content of normal lung sounds.
    • The characteristic spectral pattern of normal lung sounds is consistent regardless of whether FFT or AR modeling is used.
    • AR modeling's low variability suggests its potential for alternative lung sound representation.