Wheezing Sound Separation Based on Constrained Non-Negative Matrix Factorization

Author:

Torre-Cruz J.1,Canadas-Quesada F.1,Vera-Candeas P.1,Montiel-Zafra V.1,Ruiz-Reyes N.1

Affiliation:

1. Telecommunication Engineering Department, University of Jaen, Scientific-Technological Campus of Linares, Linares (Jaen), Spain

Publisher

ACM Press

Reference32 articles.

1. World Health Organization, Chronic respiratory diseases, http://www.who.int/respiratory/asthma/en/.

2. Oletic, D., Bilas, V. Asthmatic Wheeze Detection from Compressively Sensed Respiratory Sound Spectra, IEEE Journal of Biomedical and health informatics, vol. PP, no. 99, 2017 DOI: 10.1109/JBHI.2017.2781135.

3. Sovijarvi, F., Dalmasso, F,. Vanderschoot, J., Malmberg, L., Righini, G., and Stoneman, S. Definition of terms for applications of respiratory sounds, European Respiratory Review, vol. 10, pp. 597-610, 2000.

4. Sarkar, M., Madabhavi, I., Niranjan, N., and Dogra, M. Auscultation of the respiratory system, Annals of Thoracic Medicine, vol. 10, no. 3, pp. 158-168, 2015.

5. Lozano F, Salazar A, Alvarado C. System of heart and lung sounds separation for store-and-forward telemedicine applications. Revista Facultad Ingennieria Univ. Antioquia, 2012.

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