Abstract
Simulation studies of the electrical activity of the heart provide valuable insights into understanding cardiac diseases and conduction disorders. However, accurate parameters are crucial in the models used – in particular, the conductivity values of the commonly used bidomain model of cardiac tissue. Despite efforts over the past 40 years, complications associated with making and understanding experimental measurements have prevented researchers from retrieving conductivity parameters that are consistent and account for the anisotropic nature of cardiac tissue.
This talk presents a modified protocol that has been shown, in simulation studies, to retrieve the conductivities accurately while accounting for i) the anisotropy of cardiac tissue and ii) sensor noise inherent in experimental measurements made through multielectrode arrays. Comparisons of multielectrode arrays have been performed with the aid of this new protocol, with the long term aim of suggesting the most suitable multielectrode array configuration for obtaining cardiac conductivities to the highest possible accuracy.
This talk presents a modified protocol that has been shown, in simulation studies, to retrieve the conductivities accurately while accounting for i) the anisotropy of cardiac tissue and ii) sensor noise inherent in experimental measurements made through multielectrode arrays. Comparisons of multielectrode arrays have been performed with the aid of this new protocol, with the long term aim of suggesting the most suitable multielectrode array configuration for obtaining cardiac conductivities to the highest possible accuracy.
Original language | English |
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Pages | 65 |
Number of pages | 1 |
Publication status | Published - Feb 2021 |
Externally published | Yes |
Event | 56th Australian and New Zealand Industrial and Applied Mathematics Conference - (Online), Mornington Peninsula, Australia Duration: 31 Jan 2021 → 5 Feb 2021 |
Conference
Conference | 56th Australian and New Zealand Industrial and Applied Mathematics Conference |
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Abbreviated title | ANZIAM 2021 |
Country/Territory | Australia |
City | Mornington Peninsula |
Period | 31/01/21 → 5/02/21 |
Keywords
- Simulation study
- Electrophysiological Studies
- Inference Statistics