iSteth: Intelligent stethoscope for early detection of respiratory disorder
Date of Publication
2013
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
Subject Categories
Computer Sciences
College
College of Computer Studies
Department/Unit
Computer Science
Defense Panel Member
Macario O. Cordel, II
Jocelynn W. Cu
Joel P. Ilao
Roger Luis Uy
Abstract/Summary
Pulmonary diseases are the leading causes of morbidity in the Philippines. These diseases could have been prevented if detected and treated in its early stage. In detecting such diseases, medical experts typically use stethoscopes to help them identify pulmonary abnormalities. However, the number of medical experts in the Philippines is not enough to support remote areas for early identification of such abnormalities. Thus, this research presents the development of a system that performs lung sound analysis to identify possible pulmonary problems. Lung sound enhancement and feature extraction algorithms as well as the whole developing processes are discussed. The software performs noise reduction, heartbeat sound removal, lung sound feature extraction and classification. This research contributes in telemedicine by identifying possible pulmonary problems.
Abstract Format
html
Language
English
Format
Accession Number
TU18075
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1 v. (various foliations) : illustrations (some colored) ; 28 cm.
Keywords
Stethoscopes; Medical instruments and apparatus; Respiratory organs--Diseases; Lungs--Abnormalities
Recommended Citation
Cocuaco, K. D., Lao, A. R., & Tan, E. S. (2013). iSteth: Intelligent stethoscope for early detection of respiratory disorder. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/11298