Methods for Adventitious Respiratory Sound Analyzing Applications Based on Smartphones: A Survey-Reference-Cited by-同舟云学术

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Methods for Adventitious Respiratory Sound Analyzing Applications Based on Smartphones: A Survey

Published:2021 Issue: Volume:14 Page:98-115
ISSN:1937-3333
Container-title:IEEE Reviews in Biomedical Engineering
language:
Short-container-title:IEEE Rev. Biomed. Eng.

Author:

Tabatabaei Seyed Amir Hossein^ORCID,Fischer Patrick^ORCID,Schneider Henning,Koehler Ulrich,Gross Volker,Sohrabi Keywan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/4664312/9333686/09119781.pdf?arnumber=9119781

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds;2024 International Conference on Signal Processing and Communications (SPCOM);2024-07-01

2. An Enhanced Deep Learning Approach for Disease Classification from Respiratory Sound;2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT);2024-03-15

3. Lung disease recognition methods using audio-based analysis with machine learning;Heliyon;2024-02

4. Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds;IEEE Transactions on Instrumentation and Measurement;2024

5. Enhancing Lung Acoustic Signals Classification With Eigenvectors-Based and Traditional Augmentation Methods;IEEE Access;2024

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