Publication Type : Conference Paper
Publisher : Springer Nature Singapore
Source : International Conference on Smart Trends for Information Technology and Computer Communications
Url : https://link.springer.com/chapter/10.1007/978-981-99-0838-7_47
Campus : Amritapuri
School : School of Computing
Year : 2023
Abstract : Using a stethoscope for auscultation has proven crucial for making respiratory illness diagnoses in patients. Although auscultation is quick, easy, and affordable, it has inherent limitations. It was challenging to communicate the respiratory sounds since a traditional stethoscope could not record them. The use of artificial intelligence to analyze respiratory sounds was made possible, particularly by the recordable stethoscope. With the help of this android software, categorizing auscultation sounds will be easier and more precise.
Cite this Research Publication : Abhishek, S., Mahima Chowdary Mannava, A. J. Ananthapadmanabhan, and T. Anjali. "The Auscultation Sound Classification Era of the Future." In International Conference on Smart Trends for Information Technology and Computer Communications, pp. 543-553. Singapore: Springer Nature Singapore, 2023.