Expanded VAD Guided Subdivision of Cardiopulmonary Sounds

Expanded VAD Guided Subdivision of Cardiopulmonary Sounds

Contenido principal del artículo

Julio Alejandro Valdez Gonzalez
Pedro Mayorga Ortiz
Christopher Druzgalski
Vesna Zeljkovic
Gilberto Chavez
Monceni Perez


Cardiopulmonary auscultation is a diagnostic procedure that has
a challenging task since the components of heart rate and lung
sounds overlap. There were many approaches to quantify the
characteristics of these signals, and one of the newest is the voice
activity detection (VAD) and the Gaussian Mixture Models
(GMM). Considering the lung and heart sounds as acoustic events,
this paper proposes a novel assessment methodology of these
diagnostic indicators. Here, VAD-GMM was applied to detect and
extract the main events in lung sound and heart sounds. VAD-
GMM results were compared with other VAD methodology based
on statistical approach, and it was found that VAD-GMM give
more definite results. Since Mel Frequency Cepstral coefficients
(MFCC) and Quartiles feature vectors, were already successful in
pattern recognition, VAD-GMM was carried out using this kind of
acoustic vectors. Therefore, this method could add in a transition
from qualitative traditional auscultation to quantitative
assessment and assisted computerized diagnosis by identifying
abnormal acoustic indicators. Diagnosis by computerized
detection promises to be a more efficient method than traditional
methods, which are limited by the auditory capability and
experience of a medical professional.


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Detalles del artículo

Biografía del autor/a (VER)

Julio Alejandro Valdez Gonzalez, Instituto Tecnologico de Mexicali

Departamento de Electrica-Electronica, Docente de Asignatura

Pedro Mayorga Ortiz, Instituto Tecnologico de Mexicali

Departamento de Electrica-Electronica, Docente de Tiemo Completo

Christopher Druzgalski, California State University, Long Beach

Professor in the Electrical Engineering department 

Vesna Zeljkovic, The Lincoln University


Gilberto Chavez, Instituto Tecnologico de Mexicali

Departamento de Electrica-Electronica

Monceni Perez, Univerisdad Autónoma de Baja California

Facultad de ingenieria UABC, Docente de Tiempo Completo

Referencias (VER)

M. K. Fatma Ayaria, Ali T. Alouanib, "Lung sound extraction from mixed lung and heart sounds FASTICA algorithm " Electrical Engineering Department, National School of Engineers Tunis (ENIT), Electrical Engineering Department, Tennessee Technological University, 2012

F. Ghaderi, H. R. Mohseni, and S. Sanei, "Localizing Heart Sounds in Respiratory Signals Using Singular Spectrum Analysis", IEEE Transactions on Biomedical Engineering, vol. 58, pp. 3360-3367, 2011.

N. S. K. Jongseo Sohn, Wonyong Sung, "A Statistical Model-Based Voice Activity Detection," IEEE Signal Processing Letters, vol. 6, January 1999.

A. A. a. M. Faezipour, "Acoustic Signal Classification of Breathing Movements to Virtually Aid Breath Regulation," IEEE Journal of Biomedical And Health Informatics, vol. 17, March 2013.

Y. X. H. Wang, and M. Li, "Study on the MFCC similarity-based voice activity detection algorithm," in Proc. 2nd IEEE Int. Conf. Artif. Intell. Manage. Sci. Electron. Commerce, pp. 4391–4394, Aug 2011.

P. B. a. G. S. Ashok M onda, "An automated tool for localization of heart sound components S1, S2, S3 and S4 in pulmonary sounds using Hilbert transform and Heron’s formula," Department of Electronics and Electrical Communication Engineering, IndianInstitute of Technology, Kharagpur, Kharagpur-721 302, India, 2013.

L. R. Rabiner and B. H. Juang, Fundamentals of speech recognition. Englewood Cliffs, N.J.: PTR Prentice Hall, 1993.

D. K. Kim and J. H. Chang, "Statistical voice activity detection in kernel space," J Acoust Soc Am, vol. 132, pp. EL303-9, Oct 2012.

A. Azarbarzin and Z. M. K. Moussavi, "Automatic and Unsupervised Snore Sound Extraction From Respiratory Sound Signals," IEEE Transactions on Biomedical Engineering, vol. 58, pp. 1156-1162, 2011.

N. O. M. NOM-016-SSA3-2012, " Que establece las características mínimas de infraestructura y equipamiento de hospitales y consultorios de atención médica especializada.," 8 de enero de 2013.

P. Forgacs, "Lung sounds," Br J Dis Chest, vol. 63, pp. 1-12, 1969.

M. Lozano, J. A. Fiz, and R. Jané, "Automatic Differentiation of Normal and Continuous Adventitious Respiratory Sounds Using Ensemble Empirical Mode Decomposition and Instantaneous Frequency," IEEE Journal of Biomedical and Health Informatics, vol. 20, pp. 486-497, 2016.

K. Kosasih, U. R. Abeyratne, V. Swarnkar, and R. Triasih, "Wavelet Augmented Cough Analysis for Rapid Childhood Pneumonia Diagnosis," IEEE Transactions on Biomedical Engineering, vol. 62, pp. 1185-1194, 2015.

J. Herzig, A. Bickel, A. Eitan, and N. Intrator, "Monitoring Cardiac Stress Using Features Extracted From S1 Heart Sounds," IEEE Transactions on Biomedical Engineering, vol. 62, pp. 1169-1178, 2015.

D. Emmanouilidou, E. D. McCollum, D. E. Park, and M. Elhilali, "Adaptive Noise Suppression of Pediatric Lung Auscultations With Real Applications to Noisy Clinical Settings in Developing Countries," IEEE Transactions on Biomedical Engineering, vol. 62, pp. 2279-2288, 2015.

H. H.-L. CHEN Ji, LUO Liang-Cai, C. Yun, "Automatic Identification Method for the First and Second Heart Sound Based on Double-threshold," Journal Computer Engineering, vol. 38, pp. 174-177, 2012.

K. Bajelani, M. Navidbakhsh, H. Behnam, J. D. Doyle, and K. Hassani, "Detection and identification of first and second heart sounds using empirical mode decomposition," Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 227, pp. 976-987, 2013.

S. D. Min and H. Shin, A Localization Method for First and Second Heart Sounds Based on Energy Detection and Interval Regulation vol. 10, 2015.

S. Sun, Z. Jiang, H. Wang, and Y. Fang, "Automatic moment segmentation and peak detection analysis of heart sound pattern via short-time modified Hilbert transform," Computer Methods and Programs in Biomedicine, vol. 114, pp. 219-230, 2014/05/01/ 2014.

A. Abushakra and M. Faezipour, "Acoustic Signal Classification of Breathing Movements to Virtually Aid Breath Regulation," IEEE Journal of Biomedical and Health Informatics, vol. 17, pp. 493-500, 2013.

N. J. Hupendra Devangan, "A Review on Classification of Adventitious Lung Sounds," International Journal of Engineering Research & Technology, vol. 4, 2015.

A. Mondal, P. Bhattacharya, and G. Saha, "An automated tool for localization of heart sound components S1, S2, S3 and S4 in pulmonary sounds using Hilbert transform and Heron’s formula," SpringerPlus, vol. 2, p. 512, October 05 2013.

L. Matias. La Biblioteca Médica. Available:


A. G. Rudnitskiĭ, "Two-Channel Processing of Signals for the Separation of Breath and Cardiac Sounds," Acoustical Physics, vol. 47, pp. 353-360, May 2001 2001.

E. Ç. Güler, B. Sankur, Y. P. Kahya, and S. Raudys, "Two-stage classification of respiratory sound patterns," Computers in Biology and Medicine, vol. 35, pp. 67-83.

D. M. Istrate, "Detection et Reconnaissance des Sons pour la Surveillance Médicale," These pour obtenir le grade de docteur de l’INPG: spécialité Signal, Image, Parole, Télécoms docteur Institut National Polytechnique de Grenoble, Grenoble, France, 2003.

P. Mayorga, C. Druzgalski, and J. Vidales, "Quantitative Models for Assessment of Respiratory Diseases," Pan American Health Care Exchange (PAHCE), pp. 25 - 30, 2010.

Boston Children’s Hospital [Online]. Available: http://www.childrenshospital.org/

D. Pearce, "Developing the ETSI Aurora advanced distributed speech recognition front-end and what next?," in Automatic Speech Recognition and Understanding, 2001. ASRU '01. IEEE Workshop on, 2001, pp. 131-134.

P. Mayorga, L. Besacier, R. Lamy, and J. F. Serignat, "Audio packet loss over IP and speech recognition," in Automatic Speech Recognition and Understanding, 2003. ASRU '03. 2003 IEEE Workshop on, 2003, pp. 607-612.

J. S. a. W. Sung, "A Voice Activity Detector Employing Soft Desicion Based Noise Spectrum Adaptation," 1998, pp. 365-368.

P. Mayorga, C. Druzgalski, O. H. González, and H. S. Lopez, "Modified classification of normal Lung Sounds applying Quantile Vectors," Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, 2012, pp. 4262-4265.

F. Bimbot, J.-F. Bonastre, C. Fredouille, G. Gravier, I. Magrin-Chagnolleau, S. Meignier, et al., "A Tutorial on Text-Independent Speaker Verification," EURASIP Journal on Advances in Signal Processing, vol. 2004, pp. 1-22, 2004.

G. Lee, S. D. Na, J. H. Cho, and M. N. Kim, "Voice activity detection algorithm using perceptual wavelet entropy neighbor slope," Biomed Mater Eng, vol. 24, pp. 3295-301, 2014.

J. Park, W. Kim, D. K. Han, and H. Ko, "Voice activity detection in noisy environments based on double-combined fourier transform and line fitting," ScientificWorldJournal, vol. 2014, p. 146040, 2014.

F. Lindstrom, K. Ren, H. Li, and K. P. Waye, "Comparison of two methods of voice activity detection in field studies," J Speech Lang Hear Res, vol. 52, pp. 1658-63, Dec 2009.

J. Ramirez, J. M. Gorriz, and J. C. Segura, "Statistical voice activity detection based on integrated bispectrum likelihood ratio tests for robust speech recognition," J Acoust Soc Am, vol. 121, pp. 2946-58, May 2007.

L. Besacier, P. Mayorga, J. F. Bonastre, C. Fredouille, and S. Meignier, "Overview of compression and packet loss effects in speech biometrics," IEE Proceedings - Vision, Image and Signal Processing, vol. 150, pp. 372-376, 2003.

L. Besacier, A. M. Ariyaeeinia, J. S. Mason, J.-F. Bonastre, P. Mayorga, C. Fredouille, et al., "Voice biometrics over the internet in the framework of COST action 275," EURASIP J. Appl. Signal Process., vol. 2004, pp. 466-479, 2004.

S. Jongseo, K. Nam Soo, and S. Wonyong, "A statistical model-based voice activity detection," IEEE Signal Processing Letters, vol. 6, pp. 1-3, 1999.

Martinez W. L and M. A. R, Computational Statistics Handbook with Matlab, Second ed., 2008.

Wendy L. Martinez, Angel R. Martinez, and J. L. Solka, Exploratory Data Analysis with MATLAB vol. Second Edition, 2011.

P. Mayorga Ortiz, C. Druzgalski, M. A. Criollo Arellano, and O. H. González Arriaga, "GMM y LDA aplicado a la detección de enfermedades pulmonares," Revista Mexicana de Ingeniería Biomédica, vol. 34, pp. 131-144, 2013.

A. Mondal, A. K. Kumar, P. S. Bhattacharya, and G. Saha, "Boundary estimation of cardiac events S1 and S2 based on Hilbert transform and adaptive thresholding approach," in 2013 Indian Conference on Medical Informatics and Telemedicine (ICMIT), 2013, pp. 43-47.

RALE, Lung Sounds Repository [Online]. Available: http://www.rale.ca/Repository.htm

Texas Heart Institute [Online]. Available:


J. D. Echeverry, A. F. López, and J. F. López, "Reconocimiento de valvulopatías cardíacas en señales de fonocardiografía empleando la transformada Gabor," Scientia Et Technica, vol. XIII, pp. 139-144, 2007.