Non-invasive diagnosis of lung diseases via multimodal feature extraction from breathing audio and chest dynamics
Early and accurate diagnosis of lung diseases is crucial for effective treatment. While traditional methods have limitations, audio analysis offers a promising non-invasive approach. However, existing studies often rely solely on acoustic features, neglecting valuable information contained in visual...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier
2025
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/122616/1/122616.pdf http://psasir.upm.edu.my/id/eprint/122616/ https://www.sciencedirect.com/science/article/pii/S0010482525005335?via%3Dihub |
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