Literature DB >> 507525

Detection of respiratory mechanical dysfunction by forced random noise impedance parameters.

D A Hayes, R L Pimmel, J M Fullton, P A Bromberg.   

Abstract

Respiratory mechanical parameters were computed from forced random noise impedance data in normal adults (group 1), asymptomatic smokers (group 2), and patients with obstructive pulmonary disease (group 3). Mean values for all derived parameters were significantly different (p less than 0.025) for group 3. Mean values of resonant frequency, the ratio of low-frequency (5 to 9 Hz) resistance to high-frequency resistance (15 to 19 Hz), and conductance normalized by height, were significantly different (p less than 0.05) between groups 1 and 2. This approach appears to yield respiratory mechanical parameters that are sensitive to mechanical alterations induced by early pulmonary disease. The rapid, noninvasive, and effort-independent nature of this approach make it especially useful for epidemiologic studies and for studies of "noncooperative" subjects.

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Year:  1979        PMID: 507525     DOI: 10.1164/arrd.1979.120.5.1095

Source DB:  PubMed          Journal:  Am Rev Respir Dis        ISSN: 0003-0805


  9 in total

1.  Wideband acoustic transmission of human lungs.

Authors:  V Goncharoff; J E Jacobs; D W Cugell
Journal:  Med Biol Eng Comput       Date:  1989-09       Impact factor: 2.602

2.  Microcomputer-based system to calculate respiratory impedance from forced random noise data.

Authors:  G Pelle; A M Lorino; H Lorino; C Mariette; A Harf
Journal:  Med Biol Eng Comput       Date:  1986-09       Impact factor: 2.602

3.  Cotton induced bronchoconstriction detected by a forced random noise oscillator.

Authors:  M J Sepulveda; J L Hankinson; R M Castellan; J B Cocke
Journal:  Br J Ind Med       Date:  1984-11

Review 4.  Characterizing respiratory mechanics with forced excitation techniques.

Authors:  R Pimmel; J M Fullton
Journal:  Ann Biomed Eng       Date:  1981       Impact factor: 3.934

5.  Forced oscillation technique in the detection of smoking-induced respiratory alterations: diagnostic accuracy and comparison with spirometry.

Authors:  Alvaro Camilo Dias Faria; Alessandra Alves da Costa; Agnaldo Jose Lopes; Jose Manoel Jansen; Pedro Lopes de Melo
Journal:  Clinics (Sao Paulo)       Date:  2010       Impact factor: 2.365

6.  Forced oscillations and respiratory system modeling in adults with cystic fibrosis.

Authors:  Adma N Lima; Alvaro C D Faria; Agnaldo J Lopes; José M Jansen; Pedro L Melo
Journal:  Biomed Eng Online       Date:  2015-02-13       Impact factor: 2.819

7.  Clinical applications of forced oscillation techniques (FOT) in patients with bronchial asthma.

Authors:  C W Kim; J S Kim; J W Park; C S Hong
Journal:  Korean J Intern Med       Date:  2001-06       Impact factor: 2.884

8.  Evaluating the forced oscillation technique in the detection of early smoking-induced respiratory changes.

Authors:  Alvaro C D Faria; Agnaldo J Lopes; José M Jansen; Pedro L Melo
Journal:  Biomed Eng Online       Date:  2009-09-25       Impact factor: 2.819

9.  Non-invasive biomarkers and pulmonary function in smokers.

Authors:  Zoë L Borrill; Kay Roy; Rupert S Vessey; Ashley A Woodcock; Dave Singh
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2008
  9 in total

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