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  • How accurately can the method of fundamental solutions solve the inverse problem of electrocardiology?

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    Author(s)
    Johnston, Peter R
    Griffith University Author(s)
    Johnston, Peter R.
    Year published
    2017
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    Abstract
    This study presents a detailed comparison between the Method of Fundamental Solutions (MFS) approach to solving the inverse problem of electrocardiology and a more conventional boundary element method (BEM) approach. Synthetic data were created to simulate the heart surface potential distribution during the time course of normal and ectopic heart beats. Both measurement and geometry noise were added to the data and the inverse problem was solved via both methods. Under these conditions several regularisation parameter determination methods were compared, with the Robust Generalised Cross-Validation (RGCV) method consistently ...
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    This study presents a detailed comparison between the Method of Fundamental Solutions (MFS) approach to solving the inverse problem of electrocardiology and a more conventional boundary element method (BEM) approach. Synthetic data were created to simulate the heart surface potential distribution during the time course of normal and ectopic heart beats. Both measurement and geometry noise were added to the data and the inverse problem was solved via both methods. Under these conditions several regularisation parameter determination methods were compared, with the Robust Generalised Cross-Validation (RGCV) method consistently performing better than any other method for both MFS and BEM approaches. The MFS approach to solving the inverse problem of electrocardiology can sometimes yield more accurate results than the BEM approach, especially when the regularisation parameter is determined by RGCV, but BEM is generally superior.
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    Conference Title
    2017 COMPUTING IN CARDIOLOGY (CINC)
    Volume
    44
    DOI
    https://doi.org/10.22489/CinC.2017.244-040
    Copyright Statement
    © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Biological mathematics
    Publication URI
    http://hdl.handle.net/10072/377067
    Collection
    • Conference outputs

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