Literature DB >> 9222078

Computational and numerical methods for bioelectric field problems.

C R Johnson1.   

Abstract

Fundamental problems in electrophysiology can be studied by computationally modeling and simulating the associated microscopic and macroscopic bioelectric fields. To study such fields computationally, researchers have developed a variety of numerical and computational techniques. Advances in computer architectures have allowed researchers to model increasingly complex biophysical systems. Modeling such systems requires a researcher to apply a wide variety of computational and numerical methods to describe the underlying physics and physiology of the associated three-dimensional geometries. Issues naturally arise as to the accuracy and efficiency of such methods. In this paper we review computational and numerical methods of solving bioelectric field problems. The motivating applications represent a class of bioelectric field problems that arise in electrocardiography and electroencephalography.

Mesh:

Year:  1997        PMID: 9222078     DOI: 10.1615/critrevbiomedeng.v25.i1.10

Source DB:  PubMed          Journal:  Crit Rev Biomed Eng        ISSN: 0278-940X


  9 in total

1.  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

Review 2.  Wireless and inductively powered implant for measuring electrocardiogram.

Authors:  Jarno Riistama; Juho Väisänen; Sami Heinisuo; Hanna Harjunpää; Satu Arra; Kati Kokko; Maunu Mäntylä; Jutta Kaihilahti; Pekka Heino; Minna Kellomäki; Outi Vainio; Jukka Vanhala; Jukka Lekkala; Jari Hyttinen
Journal:  Med Biol Eng Comput       Date:  2007-10-11       Impact factor: 2.602

3.  The effect of tissue anisotropy on the radial and tangential components of the electric field in transcranial direct current stimulation.

Authors:  Mohamed K Metwally; Seung Moo Han; Tae-Seong Kim
Journal:  Med Biol Eng Comput       Date:  2015-05-05       Impact factor: 2.602

4.  Finite-element-based discretization and regularization strategies for 3-D inverse electrocardiography.

Authors:  Dafang Wang; Robert M Kirby; Chris R Johnson
Journal:  IEEE Trans Biomed Eng       Date:  2011-03-03       Impact factor: 4.538

5.  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

6.  Assessment of regularization techniques for electrocardiographic imaging.

Authors:  Matija Milanič; Vojko Jazbinšek; Robert S Macleod; Dana H Brooks; Rok Hren
Journal:  J Electrocardiol       Date:  2013-10-17       Impact factor: 1.438

7.  Resolution strategies for the finite-element-based solution of the ECG inverse problem.

Authors:  Dafang Wang; Robert M Kirby; Chris R Johnson
Journal:  IEEE Trans Biomed Eng       Date:  2009-06-16       Impact factor: 4.538

8.  Patient-specific volume conductor modeling for non-invasive imaging of cardiac electrophysiology.

Authors:  B Pfeifer; F Hanser; M Seger; G Fischer; R Modre-Osprian; B Tilg
Journal:  Open Med Inform J       Date:  2008-03-13

9.  Reducing Error in ECG Forward Simulations With Improved Source Sampling.

Authors:  Jess Tate; Karli Gillette; Brett Burton; Wilson Good; Brian Zenger; Jaume Coll-Font; Dana Brooks; Rob MacLeod
Journal:  Front Physiol       Date:  2018-09-21       Impact factor: 4.566

  9 in total

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