Computer Techniques in Analysing Human Adventitious Lung Sounds
Lui, Ho Chung
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/69506
Description
Title
Computer Techniques in Analysing Human Adventitious Lung Sounds
Author(s)
Lui, Ho Chung
Issue Date
1982
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Abstract
This 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.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
