Custom-Built Deep Convolutional Neural Network for Breathing Sound Classification to Detect Respiratory Diseases
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0609-3_13
Reference18 articles.
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2. Perna D (2018) Convolutional neural networks learning from respiratory data. IEEE Int Conf Bioinf Biomed BIBM 2018:2109–2113. https://doi.org/10.1109/BIBM.2018.8621273
3. Fraiwan L, Hassanin O, Fraiwan M, Khassawneh B, Ibnian AM, Alkhodari M (2020) Automatic identification of respiratory diseases from stethoscopic lung sound signals using ensemble classifiers. Biocybern Biomed Eng 41:1–14. https://doi.org/10.1016/j.bbe.2020.11.003
4. Abbafati C et al (2020) Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the global burden of disease study 2019. Lancet 396(10258):1223–1249. https://doi.org/10.1016/S0140-6736(20)30752-2
5. Subasinghe A et al. (2022) Smart stethoscope: intelligent respiratory disease prediction system. In: 2nd International conference on advanced research in computing (ICARC), pp 242–247
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