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Permanent link (DOI): https://doi.org/10.7939/R37S9C

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Theses and Dissertations

Methods for Automatic Heart Sound Identification Open Access

Descriptions

Other title
Subject/Keyword
signal processing
machine learning
auscultation
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Joya, Michael
Supervisor and department
Schuurmans, Dale (Computing Science)
Bowling, Mike (Computing Science)
Examining committee member and department
Boulanger, Pierre (Computing Science)
Schuurmans, Dale (Computing Science)
Zemp, Roger (Engineering)
Bowling, Mike (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2012-06-07T08:36:19Z
Graduation date
2012-11
Degree
Master of Science
Degree level
Master's
Abstract
This thesis provides a description of the cardiac rhythm as a latent chain of heart sound arrivals which occur over time, where each arrival generates a fixed window of observable data that can be described with arbitrary feature functions. This description of the process produces tractable procedures for inference of timing parameters and estimation of the most likely chain of arrivals. It is shown that the central obstacle for accurate estimation is that the timing of the arrivals for a particular subject will often differ substantially from those of the pooled sample, often resulting in poor estimates. One of the theoretical contributions of this work is a method for estimating the unique timing parameters of the rhythm through the use of signal filtration applied directly to the observed data. This technique is effective at modeling the distribution of these parameters for recordings with repetitious patterns in the signal.
Language
English
DOI
doi:10.7939/R37S9C
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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