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University of Illinois at Urbana-Champaign
Computer Techniques in Analysing Human Adventitious Lung Sounds
Abstract
dc:descriptionThis thesis investigates the feasibility of applying digital signal processing and pattern recognition techniques to analyse human adventitious lung sounds, which are distinct sound patterns superimposed onto the normal breath sound and are indicative of certain lung diseases. A software program is written which, upon analysing the acoustic data by several signal processing methods, will classify the lung sounds into one of the three general categories, namely, normal breath sound, wheezes or crackles.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Lui, Ho Chung
Subjects
dc:subject × 1Identifiers
dc:identifier.*- Identifier
- (UMI)AAI8218514
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/69506