Towards the Development of a Mobile Phonopneumogram: Automatic Breath-Phase Classification Using Smartphones-Reference-Cited by-同舟云学术

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Towards the Development of a Mobile Phonopneumogram: Automatic Breath-Phase Classification Using Smartphones

Published:2016-02-03 Issue:9 Volume:44 Page:2746-2759
ISSN:0090-6964
Container-title:Annals of Biomedical Engineering
language:en
Short-container-title:Ann Biomed Eng

Author:

Reyes Bersain A.,Reljin Natasa,Kong Youngsun,Nam Yunyoung,Ha Sangho,Chon Ki H.

Funder

Medical Research and Materiel Command, U.S. Army Medical Department (US)

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s10439-016-1554-1.pdf

Reference47 articles.

1. Abushakra, A., and M. Faezipour. Acoustic signal classification of breathing movements to virtually aid breath regulation. IEEE J. Biomed. Health Inform. 17:493–500, 2013.

2. Alshaer, H., G. R. Fernie, and T. D. Bradley. Monitoring of breathing phases using a bioacoustic method in healthy awake subjects. J. Clin. Monit. Comput. 25:285–294, 2011.

3. Beck, R., G. Rosenhouse, M. Mahagnah, R. M. Chow, D. W. Cugell, and N. Gavriely. measurements and theory of normal tracheal breath sounds. Ann. Biomed. Eng. 33:1344–1351, 2005.

4. Cala, S. J., C. M. Kenyon, G. Ferrigno, P. Carnevali, A. Aliverti, A. Pedotti, P. T. Macklem, and D. F. Rochester. Chest wall and lung volume estimation by optical reflectance motion analysis. J. Appl. Physiol. 81:2680–2689, 1996.

5. Charleston-Villalobos, S., L. Albuerne-Sanchez, R. Gonzalez-Camarena, M. Mejia-Avila, G. Carrillo-Rodriguez, and T. Aljama-Corrales. Linear and nonlinear analysis of base lung sound in extrinsic allergic alveolitis patients in comparison to healthy subjects. Methods Inf. Med. 52:266–276, 2013.

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