Leveraging CQT-VMD and pre-trained AlexNet architecture for accurate pulmonary disease classification from lung sound signals
This study presents a novel algorithm for classifying pulmonary diseases using lung sound signals by integrating Variational Mode Decomposition (VMD) and the Constant-Q Transform (CQT) within a pre-trained AlexNet convolutional neural network. Breathing sounds from the ICBHI and KAUHS databases are...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer
2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29030/2/0250923062025172651875.pdf http://eprints.utem.edu.my/id/eprint/29030/ https://link.springer.com/article/10.1007/s10489-025-06452-y |
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