Literature DB >> 10092033

A software implementation for detailed volume conductor modelling in electrophysiology using finite difference method.

P Kauppinen1, J Hyttinen, P Laarne, J Malmivuo.   

Abstract

There is an evolving need for new information available by employing patient tailored anatomically accurate computer models of the electrical properties of the human body. Because construction of a computer model can be difficult and laborious to perform sufficiently well, devised models have varied greatly in the level of anatomical accuracy incorporated in them. This has restricted the validity of conducted simulations. In the present study, a versatile software package was developed to transform anatomic voxel data into accurate finite difference method volume conductor models conveniently and in a short time. The package includes components for model construction, simulation, visualisation and detailed analysis of simulation output based on volume conductor theory. Due to the methods developed, models can comprise more anatomical details than the prior computer models. Several models have been constructed, for example, a highly detailed 3-D anatomically accurate computer model of the human thorax as a volume conductor utilising the US National Library of Medicine's (NLM) Visible Human Man (VHM) digital anatomy data. Based on the validation runs the developed software package is readily applicable in analysis of a wide range of bioelectric field problems.

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Year:  1999        PMID: 10092033     DOI: 10.1016/s0169-2607(98)00084-4

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  6 in total

1.  Effects of tissue resistivities on electroencephalogram sensitivity distribution.

Authors:  P Laarne; P Kauppinen; J Hyttinen; J Malmivuo; H Eskola
Journal:  Med Biol Eng Comput       Date:  1999-09       Impact factor: 2.602

2.  Finite difference and lead field methods in designing implantable ECG monitor.

Authors:  Juho Väisänen; Jari Hyttinen; Jaakko Malmivuo
Journal:  Med Biol Eng Comput       Date:  2006-08-11       Impact factor: 2.602

3.  Acceleration of FEM-based transfer matrix computation for forward and inverse problems of electrocardiography.

Authors:  Dmytro Farina; Y Jiang; O Dössel
Journal:  Med Biol Eng Comput       Date:  2009-12       Impact factor: 2.602

4.  The influence of age and skull conductivity on surface and subdermal bipolar EEG leads.

Authors:  Katrina Wendel; Juho Väisänen; Gunnar Seemann; Jari Hyttinen; Jaakko Malmivuo
Journal:  Comput Intell Neurosci       Date:  2010-01-10

5.  Cardiac anisotropy in boundary-element models for the electrocardiogram.

Authors:  Mark Potse; Bruno Dubé; Alain Vinet
Journal:  Med Biol Eng Comput       Date:  2009-03-21       Impact factor: 2.602

6.  Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: a theory of mixed over- and under-connectivity.

Authors:  Robert Coben; Iman Mohammad-Rezazadeh; Rex L Cannon
Journal:  Front Hum Neurosci       Date:  2014-02-26       Impact factor: 3.169

  6 in total

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