Abstract
In the process of human breathing, respiratory sounds are produced, and these sounds contain a lot of information related to the structure of the human airway. This paper uses computer and signal processing technology to collect and analyze the breath sounds to study the frequency spectrum difference between normal and abnormal respiratory sounds. Furthermore, it provides doctors/patients with a simple, quantitative, objective, intuitive, non-invasive auxiliary diagnosis tool for certain respiratory dysfunction diseases and respiratory physiology research methods.
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Luo, Y., Lutsenko, V.I., Shulgar, S.M., Anh, N.X. (2023). Simulation Model of Respiratory Sound and Technology for Separating Characteristics of Pulmonary Disease. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-19-1610-6_13
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DOI: https://doi.org/10.1007/978-981-19-1610-6_13
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