Computation Of Human Upper Airway Volumes From Tracheal Acoustic Impedance Measurements

Society for Mining, Metallurgy & Exploration
J. Tian B. Whitmoyer J. E. Sneckenberger C. A. Chandler M. A. Jerabek
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
4
File Size:
199 KB
Publication Date:
Jan 1, 1991

Abstract

A computational procedure has been developed to determine the lung volume function for the upper airways of the human respiratory system. This analytical procedure computes a person's partial lung volume from an experimental two-microphone acoustic measurement of the upper airway passages obtained through a molded tubular mouthpiece. The theoretical transfer function for the two microphone signals as well as the related acoustic impedance and reflection coefficient for the upper airways are calculated using two-channel spectrum analysis techniques. An inverse spectrum analysis scheme then converts the reflection coefficient to an impulse response from which the airway area function is extracted using an area recovery algorithm. Numerical integration of the upper airway area function yields the lung volume function for the upper airways of the human respiratory sysytem. A software program to accomplish this computation of human upper airway volumes will be described in this paper. Application of this computational procedure to the measured tracheal acoustic impedances of 15 human subjects will illustrate the program's capability toward early detection of lung dysfunction using a prototype clinical facility.
Citation

APA: J. Tian B. Whitmoyer J. E. Sneckenberger C. A. Chandler M. A. Jerabek  (1991)  Computation Of Human Upper Airway Volumes From Tracheal Acoustic Impedance Measurements

MLA: J. Tian B. Whitmoyer J. E. Sneckenberger C. A. Chandler M. A. Jerabek Computation Of Human Upper Airway Volumes From Tracheal Acoustic Impedance Measurements. Society for Mining, Metallurgy & Exploration, 1991.

Export
Purchase this Article for $25.00

Create a Guest account to purchase this file
- or -
Log in to your existing Guest account