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Methods for Automatic Heart Sound Identification

  • Author / Creator
    Joya, Michael
  • 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.

  • Subjects / Keywords
  • Graduation date
    2012-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R37S9C
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Computing Science
  • Supervisor / co-supervisor and their department(s)
    • Schuurmans, Dale (Computing Science)
    • Bowling, Mike (Computing Science)
  • Examining committee members and their departments
    • Bowling, Mike (Computing Science)
    • Boulanger, Pierre (Computing Science)
    • Zemp, Roger (Engineering)
    • Schuurmans, Dale (Computing Science)