Literature DB >> 2645207

Separation of fine crackles from vesicular sounds by a nonlinear digital filter.

M Ono, K Arakawa, M Mori, T Sugimoto, H Harashima.   

Abstract

Crackles are discontinuous adventitious sounds, and their separation is an important process in the analysis of lung sounds. In order to separate the crackles from vesicular sounds automatically, we used a nonlinear digital filter which was designed to separate nonstationary from stationary signals. We applied this filter to the lung sounds recorded from six patients with pulmonary fibrosis. The separation was satisfactory enough to make this method useful in clinical medicine.

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Mesh:

Year:  1989        PMID: 2645207     DOI: 10.1109/10.16477

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 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.  Spike detection in biomedical signals using midprediction filter.

Authors:  S Dandapat; G C Ray
Journal:  Med Biol Eng Comput       Date:  1997-07       Impact factor: 2.602

4.  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

5.  A Smartphone-Based System for Automated Bedside Detection of Crackle Sounds in Diffuse Interstitial Pneumonia Patients.

Authors:  Bersain A Reyes; Nemecio Olvera-Montes; Sonia Charleston-Villalobos; Ramón González-Camarena; Mayra Mejía-Ávila; Tomas Aljama-Corrales
Journal:  Sensors (Basel)       Date:  2018-11-07       Impact factor: 3.576

  5 in total

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