Literature DB >> 14716594

Cardiac electrical activity--from heart to body surface and back again.

Andrew J Pullan1, Martin L Buist, Greg B Sands, Leo K Cheng, Nicolas P Smith.   

Abstract

We report here on our latest developments in the forward and inverse problems of electrocardiology. In the forward problem, a coupled cellular model of cardiac excitation-contraction is embedded within an anatomically realistic model of the cardiac ventricles, which is itself embedded within a torso model. This continuum modelling framework allows the effects of cellular-level activity on the surface electrocardiogram (ECG) to be carefully examined. Furthermore, the contributions of contraction and local ischemia on body surface recordings can also be elucidated. Such information can provide theoretical limits to the sensitivity and ultimately the detection capability of body surface ECG recordings. Despite being very useful, such detailed forward modelling is not directly applicable when seeking to use densely sampled ECG information to assess a patient in a clinical environment (the inverse problem). In such a situation patient specific models must be constructed and, due to the nature of the inverse problem, the level of detail that can be reliably reproduced is limited. Extensive simulation studies have shown that the accuracy with which the heart is localised within the torso is the primary limiting factor. To further identify the practical performance capabilities of the current inverse algorithms, high quality experimental data is urgently needed. We have been working towards such an objective with a number of groups, including our local hospital in Auckland. At that hospital, in patients undergoing catheter ablation surgery, up to 256 simultaneous body surface signals were recorded by using various catheter pacing protocols. The geometric information required to customize the heart and torso model was obtained using a combination of ultrasound and laser scanning technologies. Our initial results indicate that such geometric imaging modalities are sufficient to produce promising inversely-constructed activation profiles.

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Year:  2003        PMID: 14716594     DOI: 10.1016/j.jelectrocard.2003.09.016

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  7 in total

Review 1.  Multiscale modeling of gastrointestinal electrophysiology and experimental validation.

Authors:  Peng Du; Greg O'Grady; John B Davidson; Leo K Cheng; Andrew J Pullan
Journal:  Crit Rev Biomed Eng       Date:  2010

2.  A multiscale model of the electrophysiological basis of the human electrogastrogram.

Authors:  Peng Du; Gregory O'Grady; Leo K Cheng; Andrew J Pullan
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

3.  A theoretical analysis of the electrogastrogram (EGG).

Authors:  Stefan Calder; Leo K Cheng
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

Review 4.  Strategies to Refine Gastric Stimulation and Pacing Protocols: Experimental and Modeling Approaches.

Authors:  Leo K Cheng; Nipuni D Nagahawatte; Recep Avci; Peng Du; Zhongming Liu; Niranchan Paskaranandavadivel
Journal:  Front Neurosci       Date:  2021-04-22       Impact factor: 5.152

Review 5.  Parameter estimate of signal transduction pathways.

Authors:  Ivan Arisi; Antonino Cattaneo; Vittorio Rosato
Journal:  BMC Neurosci       Date:  2006-10-30       Impact factor: 3.288

Review 6.  Multi-scale computational modelling in biology and physiology.

Authors:  James Southern; Joe Pitt-Francis; Jonathan Whiteley; Daniel Stokeley; Hiromichi Kobashi; Ross Nobes; Yoshimasa Kadooka; David Gavaghan
Journal:  Prog Biophys Mol Biol       Date:  2007-08-11       Impact factor: 3.667

Review 7.  Calcium Channels in the Heart: Disease States and Drugs.

Authors:  Kajol Shah; Sarah Seeley; Castin Schulz; Jacqueline Fisher; Shubha Gururaja Rao
Journal:  Cells       Date:  2022-03-10       Impact factor: 6.600

  7 in total

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