Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/47222
Title: Analysis of respiratory sounds
Authors: Fatimah Mohamad Kamil
Keywords: DRNTU::Engineering
Issue Date: 2010
Abstract: Statistics from the Ministry of Health, Singapore states that lung disease such as pneumonia is ranked the third principal cause of death in Singapore with a percentage of 13.9% in 2008. Being able to automatically classify lung sounds will enable physicians to make timely and more accurate diagnosis without being held back by the subjective hearing capability of the physician.
Description: 97 p.
URI: http://hdl.handle.net/10356/47222
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

Files in This Item:
File Description SizeFormat 
MAE_THESES_43.pdf
  Restricted Access
10.13 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.