Feature extraction techniques for low-power ambulatory wheeze detection wearables
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8026122/8036736/08037874.pdf?arnumber=8037874
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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2. Multiple Channels Model Based on Mel Spectrogram for Classifying Abnormalities in Lung Sound;Journal of Biomimetics, Biomaterials and Biomedical Engineering;2023-11-03
3. A comparative study of the spectrogram, scalogram, melspectrogram and gammatonegram time-frequency representations for the classification of lung sounds using the ICBHI database based on CNNs;Biomedical Engineering / Biomedizinische Technik;2022-08-08
4. An MFCC Features-driven subject-independent Convolution Neural Network for Detection of Chronic and Non-chronic Pulmonary Diseases;2022 3rd International Conference for Emerging Technology (INCET);2022-05-27
5. ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention;2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2021-12-09
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