Literature DB >> 2225972

Measuring crackles.

J Hoevers1, R G Loudon.   

Abstract

Crackles heard on auscultation can be represented graphically as a time-amplitude plot of the associated waveform. To assess the relative merits of several measures which might be considered for machine implementation in diagnostic instruments, we compared the reproducibility of those based on the initial voltage deflection which begins a crackle with those based on the largest deflection. The latter group showed less interobserver and less intraobserver variability when the same crackles were measured twice by each of two observers. Crackles from a teaching tape, categorized as fine and coarse, were used in this study. The ability of the various measures tested to distinguish between fine and coarse crackles on an individual basis was assessed and found to favor the measures based on the largest deflection. They showed an average of 9.96 percent incorrectly classified crackles, as opposed to 19.53 percent for the two measures based on the initial deflection.

Mesh:

Year:  1990        PMID: 2225972     DOI: 10.1378/chest.98.5.1240

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  8 in total

1.  Lung sounds.

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

2.  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

3.  Acoustically detectable cellular-level lung injury induced by fluid mechanical stresses in microfluidic airway systems.

Authors:  Dongeun Huh; Hideki Fujioka; Yi-Chung Tung; Nobuyuki Futai; Robert Paine; James B Grotberg; Shuichi Takayama
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-15       Impact factor: 11.205

4.  Toolkit for lung sound analysis.

Authors:  T Rosqvist; E Paajanen; K Kallio; H M Rajala; T Katila; P Piirilä; P Malmberg; A Sovijärvi
Journal:  Med Biol Eng Comput       Date:  1995-03       Impact factor: 2.602

5.  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

6.  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

7.  The acoustic characteristics of fine crackles predict honeycombing on high-resolution computed tomography.

Authors:  Toshikazu Fukumitsu; Yasushi Obase; Yuji Ishimatsu; Shota Nakashima; Hiroshi Ishimoto; Noriho Sakamoto; Kosei Nishitsuji; Shunpei Shiwa; Tomoya Sakai; Sueharu Miyahara; Kazuto Ashizawa; Hiroshi Mukae; Ryo Kozu
Journal:  BMC Pulm Med       Date:  2019-08-17       Impact factor: 3.317

Review 8.  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

  8 in total

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