Literature DB >> 11341528

An acoustic model of the respiratory tract.

P Harper1, S S Kraman, H Pasterkamp, G R Wodicka.   

Abstract

With the emerging use of tracheal sound analysis to detect and monitor respiratory tract changes such as those found in asthma and obstructive sleep apnea, there is a need to link the attributes of these easily measured sounds first to the underlying anatomy, and then to specific pathophysiology. To begin this process, we have developed a model of the acoustic properties of the entire respiratory tract (supraglottal plus subglottal airways) over the frequency range of tracheal sound measurements, 100 to 3000 Hz. The respiratory tract is represented by a transmission line acoustical analogy with varying cross sectional area, yielding walls, and dichotomous branching in the subglottal component. The model predicts the location in frequency of the natural acoustic resonances of components or the entire tract. Individually, the supra and subglottal portions of the model predict well the distinct locations of the spectral peaks (formants) from speech sounds such as /a/ as measured at the mouth and the trachea, respectively, in healthy subjects. When combining the supraglottic and subglottic portions to form a complete tract model, the predicted peak locations compare favorably with those of tracheal sounds measured during normal breathing. This modeling effort provides the first insights into the complex relationships between the spectral peaks of tracheal sounds and the underlying anatomy of the respiratory tract.

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Year:  2001        PMID: 11341528     DOI: 10.1109/10.918593

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  6 in total

1.  Subglottal resonances of adult male and female native speakers of American English.

Authors:  Steven M Lulich; John R Morton; Harish Arsikere; Mitchell S Sommers; Gary K F Leung; Abeer Alwan
Journal:  J Acoust Soc Am       Date:  2012-10       Impact factor: 1.840

2.  Subglottal Impedance-Based Inverse Filtering of Voiced Sounds Using Neck Surface Acceleration.

Authors:  Matías Zañartu; Julio C Ho; Daryush D Mehta; Robert E Hillman; George R Wodicka
Journal:  IEEE Trans Audio Speech Lang Process       Date:  2013-09

3.  Contributions of signal analysis to the interpretation of spirometry.

Authors:  A Anogeianaki; N Negrev; G Ilonidis
Journal:  Hippokratia       Date:  2007-10       Impact factor: 0.471

Review 4.  Body Acoustics for the Non-Invasive Diagnosis of Medical Conditions.

Authors:  Jadyn Cook; Muneebah Umar; Fardin Khalili; Amirtahà Taebi
Journal:  Bioengineering (Basel)       Date:  2022-04-01

5.  A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation.

Authors:  Shumit Saha; T Douglas Bradley; Mahsa Taheri; Zahra Moussavi; Azadeh Yadollahi
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

6.  Simulation of bronchial airway acoustics in healthy and asthmatic subjects.

Authors:  Lorenzo Aliboni; Francesca Pennati; Thomas J Royston; Jason C Woods; Andrea Aliverti
Journal:  PLoS One       Date:  2020-02-10       Impact factor: 3.240

  6 in total

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