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Automated differential diagnostics of respiratory diseases using an electronic stethoscope Cover

Automated differential diagnostics of respiratory diseases using an electronic stethoscope

Polish Journal of Medical Physics and Engineering
Volume 29 (2023): Issue 4 (December 2023)
By: Diana Arhypenko,  Denis Panaskin and  Dmytro Babko  
Open Access
|Dec 2023

Authors

Diana Arhypenko

diana.arhypenko@gmail.com

Department of International Law, Kyiv National Economic University named after Vadym Hetman, Ukraine

Denis Panaskin

Department of Computer Engineering, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine

Dmytro Babko

Department of Computer Engineering, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine
DOI: https://doi.org/10.2478/pjmpe-2023-0022 | Journal eISSN: 1898-0309 | Journal ISSN: 1425-4689
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Language: English
Page range: 208 - 219
Submitted on: Mar 21, 2023
Accepted on: Nov 2, 2023
Published on: Dec 15, 2023
Published by: Polish Society of Medical Physics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
auscultation process,
deep machine learning method,
acoustic signals,
pulmonology,
lung sounds
Related subjects:
Medicine,
Biomedical engineering,
Physics,
Technical and applied physics,
Medical physics

© 2023 Diana Arhypenko, Denis Panaskin, Dmytro Babko, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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