Literature DB >> 14682403

Tracheal and lung sounds repeatability in normal adults.

I Sánchez1, C Vizcaya.   

Abstract

Tracheal and lung sounds measurements for clinical applications depends on their intrasubject repeatability. Our objectives were to characterize tracheal and lung sounds and to investigate the temporal variability in normal adults. Tracheal sounds were studied in 7 subjects and lung sounds in 10 adults. Acoustic measurements were done in five occasions over a month for tracheal sounds and on seven occasions over a year for lung sounds. Sounds were recorded using contact sensors on the suprasternal notch and on the posterior right lower lobe. Subjects breathed through a pneumotachograph at flows of 0.9-1.1 l/s. Signals were low-pass filtered, amplified and Fourier analysis was applied to sounds within a target flow range. We measured the frequencies below which 25% (F25), 50% (F median), 75% (F75) and 99% (SEF99) of the spectral power between 100 and 2000 Hz. There were no differences between the measurements obtained at different days comparing each subject (P = ns, ANOVA). Our results show that the spectral pattern of tracheal and lung sounds are stable with low intrasubject variability.

Mesh:

Year:  2003        PMID: 14682403     DOI: 10.1016/s0954-6111(03)00251-8

Source DB:  PubMed          Journal:  Respir Med        ISSN: 0954-6111            Impact factor:   3.415


  7 in total

1.  Computer-aided diagnosis of pneumonia in patients with chronic obstructive pulmonary disease.

Authors:  Daniel Sánchez Morillo; Antonio León Jiménez; Sonia Astorga Moreno
Journal:  J Am Med Inform Assoc       Date:  2013-02-08       Impact factor: 4.497

2.  Left-Right Asymmetry in Spectral Characteristics of Lung Sounds Detected Using a Dual-Channel Auscultation System in Healthy Young Adults.

Authors:  Jang-Zern Tsai; Ming-Lang Chang; Jiun-Yue Yang; Dar Kuo; Ching-Hsiung Lin; Cheng-Deng Kuo
Journal:  Sensors (Basel)       Date:  2017-06-07       Impact factor: 3.576

3.  Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case-control and prospective cohort study.

Authors:  Alban Glangetas; Mary-Anne Hartley; Aymeric Cantais; Delphine S Courvoisier; David Rivollet; Deeksha M Shama; Alexandre Perez; Hervé Spechbach; Véronique Trombert; Stéphane Bourquin; Martin Jaggi; Constance Barazzone-Argiroffo; Alain Gervaix; Johan N Siebert
Journal:  BMC Pulm Med       Date:  2021-03-24       Impact factor: 3.317

4.  Orthogonality-Constrained CNMF-Based Noise Reduction with Reduced Degradation of Biological Sound.

Authors:  Naoto Murakami; Shota Nakashima; Katsuma Fujimoto; Shoya Makihira; Seiji Nishifuji; Keiko Doi; Xianghong Li; Tsunahiko Hirano; Kazuto Matsunaga
Journal:  Sensors (Basel)       Date:  2021-11-29       Impact factor: 3.576

5.  Changes in regional distribution of lung sounds as a function of positive end-expiratory pressure.

Authors:  Shaul Lev; Yael A Glickman; Ilya Kagan; David Dahan; Jonathan Cohen; Milana Grinev; Maury Shapiro; Pierre Singer
Journal:  Crit Care       Date:  2009-05-10       Impact factor: 9.097

6.  Reproducibility of dynamically represented acoustic lung images from healthy individuals.

Authors:  T M Maher; M Gat; D Allen; A Devaraj; A U Wells; D M Geddes
Journal:  Thorax       Date:  2007-11-16       Impact factor: 9.139

Review 7.  Auscultation of the respiratory system.

Authors:  Malay Sarkar; Irappa Madabhavi; Narasimhalu Niranjan; Megha Dogra
Journal:  Ann Thorac Med       Date:  2015 Jul-Sep       Impact factor: 2.219

  7 in total

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