Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination-Reference-Cited by-同舟云学术

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Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination

Published:2019-03-29 Issue:6 Volume:178 Page:883-890
ISSN:0340-6199
Container-title:European Journal of Pediatrics
language:en
Short-container-title:Eur J Pediatr

Author:

Grzywalski Tomasz,Piecuch Mateusz,Szajek Marcin,Bręborowicz Anna,Hafke-Dys Honorata,Kociński Jędrzej,Pastusiak Anna,Belluzzo Riccardo

Funder

Narodowe Centrum Badań i Rozwoju

Publisher

Springer Science and Business Media LLC

Subject

Pediatrics, Perinatology, and Child Health

Link

http://link.springer.com/content/pdf/10.1007/s00431-019-03363-2.pdf

Reference15 articles.

1. Aviles-Solis JC, Vanbelle S, Halvorsen PA (2017) International perception of lung sounds: a comparison of classification across some European borders. BMJ Open Respir Res 4:e000250

2. Bishop PJ (1980) Evolution of the stethoscope. J R Soc Med 73:448–456

3. Bohadana A, Izbicki G, Kraman SS (2014) Fundamentals of lung auscultation. N Engl J Med 370:744–751

4. Çakır E, Parascandolo G, Heittola T, Huttunen H, Virtanen T (2017) Convolutional recurrent neural networks for polyphonic sound event detection. IEEE/ACM Trans Audio Speech Lang Process 25(6):1291–1303

5. Chamberlain D, Mofor J, Fletcher R, Kodgule R (2015) Mobile stethoscope and signal processing algorithms for pulmonary screening and diagnostics. In: IEEE Global Humanitarian Technology Conference (GHTC) IEEE 385–392

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