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Analysis of respiratory sounds: state of the art.

Reichert S, Gass R, Brandt C, Andrès E - Clin Med Circ Respirat Pulm Med (2008)

Bottom Line: This paper describes state of the art, scientific publications and ongoing research related to the methods of analysis of respiratory sounds.Review of the current medical and technological literature using Pubmed and personal experience.Modern tools are based on artificial intelligence and on technics such as artificial neural networks, fuzzy systems, and genetic algorithms… The next step will consist in finding new markers so as to increase the efficiency of decision aid algorithms and tools.

View Article: PubMed Central - PubMed

Affiliation: Ph.D., e-health UTBM student, Alcatel-Lucent, Chief Technical Office, Strasbourg, France.

ABSTRACT

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

Methods and material: Review of the current medical and technological literature using Pubmed and personal experience.

Results: The study includes a description of the various techniques that are being used to collect auscultation sounds, a physical description of known pathologic sounds for which automatic detection tools were developed. Modern tools are based on artificial intelligence and on technics such as artificial neural networks, fuzzy systems, and genetic algorithms…

Conclusion: The next step will consist in finding new markers so as to increase the efficiency of decision aid algorithms and tools.

No MeSH data available.


Related in: MedlinePlus

Waveform of a crackle.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
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f3-ccrpm-2008-045: Waveform of a crackle.

Mentions: Crackles generally begin with a width deflection, followed by a long and damped sinusoidal wave [40] [41] such as represented below (Fig. 3):


Analysis of respiratory sounds: state of the art.

Reichert S, Gass R, Brandt C, Andrès E - Clin Med Circ Respirat Pulm Med (2008)

Waveform of a crackle.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC2990233&req=5

f3-ccrpm-2008-045: Waveform of a crackle.
Mentions: Crackles generally begin with a width deflection, followed by a long and damped sinusoidal wave [40] [41] such as represented below (Fig. 3):

Bottom Line: This paper describes state of the art, scientific publications and ongoing research related to the methods of analysis of respiratory sounds.Review of the current medical and technological literature using Pubmed and personal experience.Modern tools are based on artificial intelligence and on technics such as artificial neural networks, fuzzy systems, and genetic algorithms… The next step will consist in finding new markers so as to increase the efficiency of decision aid algorithms and tools.

View Article: PubMed Central - PubMed

Affiliation: Ph.D., e-health UTBM student, Alcatel-Lucent, Chief Technical Office, Strasbourg, France.

ABSTRACT

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

Methods and material: Review of the current medical and technological literature using Pubmed and personal experience.

Results: The study includes a description of the various techniques that are being used to collect auscultation sounds, a physical description of known pathologic sounds for which automatic detection tools were developed. Modern tools are based on artificial intelligence and on technics such as artificial neural networks, fuzzy systems, and genetic algorithms…

Conclusion: The next step will consist in finding new markers so as to increase the efficiency of decision aid algorithms and tools.

No MeSH data available.


Related in: MedlinePlus