Enhancing Lung Acoustic Signals Classification With Eigenvectors-Based and Traditional Augmentation Methods-Reference-Cited by-同舟云学术

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Enhancing Lung Acoustic Signals Classification With Eigenvectors-Based and Traditional Augmentation Methods

Published:2024 Issue: Volume:12 Page:87691-87700
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Babu Naseem¹^ORCID,Pruthviraja Dayananda²^ORCID,Mathew Jimson¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

2. Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10568128.pdf?arnumber=10568128

Reference48 articles.

1. Global impact of respiratory disease: What can we do, together, to make a difference?;Levine;Chest,2022

2. Fundamentals of Lung Auscultation

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

4. Recording and preliminary analysis of respiratory sounds from tuberculosis patients

5. Automatic adventitious respiratory sound analysis: A systematic review

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