Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/36292
Title: Advanced signal processing methods for analysis of respiratory sounds
Authors: Jin, Feng
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Issue Date: 2010
Source: Jin, F. (2010). Advanced signal processing methods for analysis of respiratory sounds. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Respiratory sounds (RSs) auscultation using stethoscope is often the first noninvasive resource available to physicians for the detection and analysis of respiratory ailments. Motivated by the subjectivity of human auditory system, computerized auscultation combined with signal processing techniques have boosted the diagnostic capabilities of RS. This PhD thesis concentrates on the advanced signals processing methods for RS analysis from several aspects including: RS denoising by means of heart sounds (HSs) cancellation (Part I), respiratory phase detection (Part II), as well as RS analysis and feature extraction methods for RS classification (Part III). Part I solves the problem of HS cancellation through a two-steps scheme consisting of HS localization and HS removal from different types of single-channel RS recordings.
URI: https://hdl.handle.net/10356/36292
DOI: 10.32657/10356/36292
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
JinFeng2010.pdfReport6.15 MBAdobe PDFThumbnail
View/Open

Page view(s) 50

595
Updated on Jun 20, 2024

Download(s) 5

690
Updated on Jun 20, 2024

Google ScholarTM

Check

Altmetric


Plumx

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