Autoimmune diseases: Lupus and rheumatoid arthritis can both attack the lungs, causing the progressive scarring of lung tissues.Atelectasis: This is a condition that causes alveoli to collapse in certain areas of the lungs.Sarcoidosis: This is a rare condition that causes small patches of granular tissue, called granulomas, to form in the organs of the body, including the lungs.Idiopathic pulmonary fibrosis (IPF): This is a condition in which lung tissues become thick and stiff for unknown reasons.Pneumonia: The infection can also cause parenchymal inflammation (sometimes referred to as "interstitial pneumonia").Asbestosis: This is a condition that causes scarring of the lungs due to prolonged exposure to asbestos fibers in the air.Pulmonary edema: This is the swelling of the lungs due to the overload of fluid in tissues (sometimes referred to as "wet lung").Interstitial lung disease (ILD): This is an umbrella term used for a large group of diseases that cause scarring (fibrosis) of the lungs.Kim, Y., Hyon, Y., Jung, S.S., Lee, S., Yoo, G., Chung, C., Ha, T.: Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning. Hsu, F.S., Huang, S.R., Huang, C.W., Huang, C.J., Cheng, Y.R., Chen, C.C., Chen, Y.T., Lai, F.: Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF Lung V1. Lu, X., Bahoura, M.: An integrated automated system for crackles extraction and classification. Jin, F., Sattar, F., Goh, D.Y.: New approaches for spectro-temporal feature extraction with applications to respiratory sound classification. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. A., Charleston-Villalobos, S., Gonzalez-Camarena, R., Aljama-Corrales, T.: Analysis of discontinuous adventitious lung sounds by Hilbert-Huang spectrum. Rocha, B.M., Pessoa, D., Marques, A., Carvalho, P., Paiva, R.P.: Automatic classification of adventitious respiratory sounds: a (un) solved problem? Sensors 21(1), 57 (2020) 23(3), 1012–1021 (2013)Īsatani, N., Kamiya, T., Mabu, S., Kido, S.: Classification of respiratory sounds using improved convolutional recurrent neural network. Serbes, G., Sakar, C.O., Kahya, Y.P., Aydin, N.: Pulmonary crackle detection using time-frequency and time-scale analysis. Ponte, D.F., Moraes, R., Hizume, D.C., Alencar, A.M.: Characterization of crackles from patients with fibrosis, heart failure and pneumonia. Sarkar, M., Madabhavi, I., Niranjan, N., Dogra, M.: Auscultation of the respiratory system. Jones, A., Jones, R.D., Kwong, K., Burns, Y.: Effect of positioning on recorded lung sound intensities in subjects without pulmonary dysfunction.
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