Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/115876
Type: Theses
Title: Signal processing techniques for phonocardiogram de-noising and analysis
Author: Messer, Sheila Renee
Issue Date: 2001
School/Discipline: Dept. of Electrical and Electronic Engineering
Abstract: Explores phonocardiogram de-noising techniques, including wavelet de-noising. Optimised wavelet de-noising, wavelet packet de-noising, matching pursuit technique, and averaging. Optimised wavelet de-noising performed slightly better than other methods, and is recommended to be used in conjunction with averaging. Also explores different methods of extracting features from the de-noised phonocardiogram and classifying it. These include phase space diagrams, HT diagrams, instantaneous signal parameter extraction and phase synchronisation between the ECG and PCG; investigations were limited by the quantity and quality of data available
Dissertation Note: Thesis (M.Eng.Sc.) -- University of Adelaide, Dept. of Electrical and Electronic Engineering, 2003
Keywords: Electronic noise; Phonocardiography; Signal processing
Provenance: This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals
Appears in Collections:Research Theses

Files in This Item:
File Description SizeFormat 
01front.pdf922.69 kBAdobe PDFView/Open
02whole.pdf11.36 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.