Literature DB >> 1948794

Spectral and waveform characteristics of fine and coarse crackles.

M Munakata1, H Ukita, I Doi, Y Ohtsuka, Y Masaki, Y Homma, Y Kawakami.   

Abstract

Two acoustically different types of lung crackles, fine and coarse, occur in different pathophysiological conditions. To differentiate these crackles from objective characteristics of frequency information, crackles were recorded from 16 patients with pulmonary fibrosis judged clinically to have "fine" crackles and from 10 with chronic bronchitis who had mainly "coarse" crackles. Time expanded waveforms (1/4 cycle duration, initial deflection width, two cycle duration, and 9/4 cycle duration; duration of the first 1/4, 2/4, 8/4, and 9/4 cycles of crackle waveforms) were examined and fast Fourier transform analysis (peak and maximum frequencies) was performed. All waveform measurements for fine crackles were significantly smaller than those for coarse crackles. Peak and maximum frequencies for fine crackles were significantly higher than those for coarse crackles. Although there was some overlap in these values for individual crackles between the two groups when average values of these measurements were calculated for each patient, there was no overlap between fine and coarse crackles and the two groups could be clearly separated. Log peak frequency and log maximum frequency correlated better with 9/4 cycle duration (r = 0.85, 0.84) and two cycle duration (r = 0.87, 0.86) than with 1/4 cycle duration (r = 0.66, 0.77) or initial deflection width (r = 0.67, 0.79). Early and late segments of crackles have different characteristics, probably related to the origin of the sound and the resonance of the lung respectively. These results suggest that spectral and waveform characteristics may help to improve the accuracy of pulmonary auscultation and increase knowledge of how crackles are generated.

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Year:  1991        PMID: 1948794      PMCID: PMC463357          DOI: 10.1136/thx.46.9.651

Source DB:  PubMed          Journal:  Thorax        ISSN: 0040-6376            Impact factor:   9.139


  13 in total

1.  The acoustic basis of the chest examination; studies by means of sound spectrography.

Authors:  V A McKUSICK; J T JENKINS; G N WEBB
Journal:  Am Rev Tuberc       Date:  1955-07

2.  Crackles and wheezes.

Authors:  P Forgacs
Journal:  Lancet       Date:  1967-07-22       Impact factor: 79.321

3.  Inspiratory crackles and mechanical events of breathing.

Authors:  A R Nath; L H Capel
Journal:  Thorax       Date:  1974-11       Impact factor: 9.139

4.  Visual lung-sound characterization by time-expanded wave-form analysis.

Authors:  R L Murphy; S K Holford; W C Knowler
Journal:  N Engl J Med       Date:  1977-04-28       Impact factor: 91.245

5.  [A new method for classifying discontinuous adventitious lung sounds].

Authors:  M Matsuzaki; Y Homma
Journal:  Nihon Kyobu Shikkan Gakkai Zasshi       Date:  1983-02

6.  The functional basis of pulmonary sounds.

Authors:  P Forgacs
Journal:  Chest       Date:  1978-03       Impact factor: 9.410

7.  Phonopneumograph possible for real-time tracing.

Authors:  Y Homma; M Matsuzaki; H Ogasawara; M Munakata
Journal:  Comput Biomed Res       Date:  1985-12

8.  Waveform and spectral analysis of crackles.

Authors:  M Mori; K Kinoshita; H Morinari; T Shiraishi; S Koike; S Murao
Journal:  Thorax       Date:  1980-11       Impact factor: 9.139

9.  Auscultation of the lung: past lessons, future possibilities.

Authors:  R L Murphy
Journal:  Thorax       Date:  1981-02       Impact factor: 9.139

10.  Production mechanism of crackles in excised normal canine lungs.

Authors:  M Munakata; Y Homma; M Matsuzaki; H Ogasawara; K Tanimura; H Kusaka; Y Kawakami
Journal:  J Appl Physiol (1985)       Date:  1986-09
View more
  13 in total

1.  Representation and classification of breath sounds recorded in an intensive care setting using neural networks.

Authors:  L R Waitman; K P Clarkson; J A Barwise; P H King
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

2.  Lung sounds.

Authors:  J Earis
Journal:  Thorax       Date:  1992-09       Impact factor: 9.139

3.  Acoustic thoracic image of crackle sounds using linear and nonlinear processing techniques.

Authors:  Sonia Charleston-Villalobos; Guadalupe Dorantes-Méndez; Ramón González-Camarena; Georgina Chi-Lem; José G Carrillo; Tomás Aljama-Corrales
Journal:  Med Biol Eng Comput       Date:  2010-07-21       Impact factor: 2.602

4.  Computer-based lung sound simulation.

Authors:  M Kompis; E W Russi
Journal:  Med Biol Eng Comput       Date:  1997-05       Impact factor: 2.602

5.  Early detection of deteriorating ventilation by monitoring bilateral chest wall dynamics in the rabbit.

Authors:  Dan Waisman; Anna Faingersh; Carmit Levy; Eugene Konyukhov; Fatmi Ifat Colman Klotzman; Avi Rotschild; Amir Landesberg
Journal:  Intensive Care Med       Date:  2011-11-22       Impact factor: 17.440

6.  Lung sound crackle analysis using generalised time-frequency representations.

Authors:  H Pasika; D Pengelly
Journal:  Med Biol Eng Comput       Date:  1994-11       Impact factor: 2.602

7.  Discrimination analysis of discontinuous breath sounds using higher-order crossings.

Authors:  L J Hadjileontiadis
Journal:  Med Biol Eng Comput       Date:  2003-07       Impact factor: 2.602

Review 8.  Automatic adventitious respiratory sound analysis: A systematic review.

Authors:  Renard Xaviero Adhi Pramono; Stuart Bowyer; Esther Rodriguez-Villegas
Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

9.  Fine crackles on chest auscultation in the early diagnosis of idiopathic pulmonary fibrosis: a prospective cohort study.

Authors:  Onofre Moran-Mendoza; Thomas Ritchie; Sharina Aldhaheri
Journal:  BMJ Open Respir Res       Date:  2021-07

Review 10.  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

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