Abstract
Mathematical models were used to explore sodium (Na) current alterations. Markovian representations were chosen to describe the Na current behavior under pathological conditions, such as genetic defects (Long QT and Brugada syndromes) or acquired diseases (heart failure). These Na current formulations were subsequently introduced in an integrated model of the ventricular myocyte to investigate their effects on the ventricular action potential. This "in silico" approach is a powerful tool, providing new insights into arrhythmia susceptibility due to inherited and/or acquired Na channelopathies.
| Original language | English (US) |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 120-128 |
| Number of pages | 9 |
| Volume | 4466 LNCS |
| State | Published - 2007 |
| Externally published | Yes |
| Event | 4th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2007 - Salt Lake City, UT, United States Duration: Jun 7 2007 → Jun 9 2007 |
Other
| Other | 4th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2007 |
|---|---|
| Country/Territory | United States |
| City | Salt Lake City, UT |
| Period | 6/7/07 → 6/9/07 |
Keywords
- Action potential
- Arrhythmias
- Na channelopathies
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science