Application of Deep Learning Algorithms in Lung Sound Classification: A Systematic Review Since 2015

International Journal of Electronics and Communication Engineering

© 2025 by SSRG - IJECE Journal

Volume 12 Issue 4

Year of Publication : 2025

Authors : Zakaria Neili, Kenneth Sundaraj

10.14445/23488549/IJECE-V12I4P120

How to Cite?

Zakaria Neili, Kenneth Sundaraj, "Application of Deep Learning Algorithms in Lung Sound Classification: A Systematic Review Since 2015," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 4, pp. 1-5, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I4P120

Abstract:

The article systematically explored the application of deep learning for lung sound classification in three popular scientific databases – PubMed, ScienceDirect and IEEE Xplore, for articles published between 2015 and 2024. Using specific keywords combined with deep learning terms, we identified 1428 articles. Based on their titles, abstracts and content, 33 articles were deemed relevant and selected for review. The article’s thorough analysis revealed that deep learning algorithms have outperformed traditional machine learning techniques in lung sound classification.

Keywords:

Classification systems, Deep Learning, Lung sounds, Machine Learning, Systematic review.

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