High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network

High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network

IntroductionIn recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease diagnosis.MethodsThis study presents a comprehensive approach to classify lung sounds into...

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Bibliographic Details
Main Authors: Weiwei Zhang, Xinyu Li, Qiao Liu, Xiangyang Zheng, Yisu Ge, Xiaotian Pan, Yu Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
machine learning
pulmonary disease classification
lung sounds
electronic stethoscope
multi-layer perceptron
feature extraction
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2025.1583416/full
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