Design and development of mobile application to characterize and classify lung sound based on Frequential Analysis and Wavelet Transform

Germán David Sosa Ramírez, Fabián Velásquez Clavijo

Resumen


Throughout the last decades, the lung auscultation has been used as one of themost popular procedures to evaluate the state of the respiratory airways with relative confidence based on the interpretation of the audio signals given by the stethoscope, a medical tool that has not changed significantly over the last years.

The recent development of digital stethoscopes provides them with several capabilities that enhance auscultation interpretability with novel features like audio amplification, noise rejection and filtering. Even better is a digital stethoscope,which gives the chance of computerized signal analysis on lung sounds, which is the motivation of this work.

Based on the lung sound characterization performed by Laenec [1], we consider that it is possible for a computer-based system to detect the elemental features ofa lung sound by its frequency contents and presence of discontinuities in order toclassify them into its basic types: ronchi, wheezes, and stridor.

Using both traditional signal analysis tools, such as Fourier Transform, as well asnovel ones like Wavelet Transform, this work proposes to implement a mobile application for the Android OS along with a digital stethoscope that, beyond just classifying the content of a lung sound signal, provides a graphical representationof its characteristics like the frequency on discontinuous sounds found in the sound that might be helpful to make the diagnosis about the respiratory state of a patient easier.

 


Palabras clave


Stethoscope; lung sound; adventitious sound; ronchi; wheeze; stridor; crackle; Wavelet transform; Short-Time Fourier Transform.

Citas


Hernán Vélez, Fundamentos de medicina Neumología, 4a ed.

LOUDON, ROBERT, and RAYMOND LH MURPHY JR. "Lung Sounds’2." Am Rev Respir Dis 130 (1984): 663-673.

Gavriely, Noam. "A microcomputer based lung sounds analysis." Computer methods and programs in biomedicine 40.1 (1993): 7-13.

Sánchez Morillo, Daniel, et al. "Computerized analysis of respiratory sounds during COPD exacerbations." Computers in biology and medicine (2013).

Palaniappan, R., et al. "Computer-based Respiratory Sound Analysis: A Systematic Review." IETE Technical Review 30.3 (2013): 248. (Listas de fuentes)

Serbes, Gorkem, et al. "Pulmonary crackle detection using time–frequency and time–scale analysis." Digital Signal Processing (2012).

Bahoura, Mohammed, and Xiaoguang Lu. "Separation of crackles from vesicular sounds using wavelet packet transform." Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on. Vol. 2. IEEE, 2006.

Hadjileontiadis, Leontios J., and Stavros M. Panas. "Separation of discontinuous adventitious sounds from vesicular sounds using a wavelet-based filter." Biomedical Engineering, IEEE Transactions on 44.12 (1997): 1269-1281.

Gross, V., et al. "Electronic auscultation based on wavelet transformation in clinical use." Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint. Vol. 2. IEEE, 2002.

Homs-Corbera, Antoni, et al. "Time-frequency detection and analysis of wheezes during forced exhalation." Biomedical Engineering, IEEE Transactions on 51.1 (2004): 182-186.

Taplidou, Styliani A., and Leontios J. Hadjileontiadis. "Wheeze detection based on time-frequency analysis of breath sounds." Computers in biology and medicine 37.8 (2007): 1073-1083.

Jaime Navarro Fuentes. David Elizarraraz Martínez, Introducción a la

Transformada Wavelet Continua, 2011.

Ph.D. Fengxiang Ziao, Introduction to Wavelet, Workshop on Wavelet

application in transportation engineering, Texas Southern University,

Michel Misiti. Yves Misiti. George Oppenheim. Jean Michel Poggi,

Wavelet Toolbox for use with MATLAB, MathWorks, 1996.

Andres E. Zonst, Understanding the FFT, Citrus Press, USA, 2007

HWEI P. HSU, Analisis de Fourier, Adison Wesley iberoamericana,

Stéphane Mallat, a Wavelet Tour of Signal Processing, 2nd ed, Ed.

Academic Press. 1999.

APC – A bicycle for your mind, “VIA APC 8750”, http://apc.io/products/8750a/

10 Best Apps for Lung Sounds, http://appcrawlr.com/ios-apps/best-apps-lung-sounds

Eclipse – Juno Simultaneous Release, http://www.eclipse.org/juno/


Texto completo: PDF

Refbacks

  • No hay Refbacks actualmente.


Perfil de la revista en Google Scholar

Universidad Antonio Nariño - Sede Circunvalar

Carrera 3 Este No 47 A - 15, Bloque 4, Piso 3

Bogotá, Colombia

Revista afiliada a la Red Colombiana de Revistas de Ingeniería e indexada en EBSCO, ULRICHSWEB, DOAJ y Publindex - categoría C.

ISSN 2145-0935 ISSN online: 2346-1446