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

Print

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

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