Name
Abstract | ||
|---|---|---|
A fundamental question in the treatment of cardiac disorders, such as tachycardia and fibrillation, is under what circumstances does such a disorder arise? To answer to this question, we develop a multiaffine hybrid automaton (MHA) cardiac-cell model, and restate the original question as one of identification of the parameter ranges under which the MHA model accurately reproduces the disorder. The MHA model is obtained from the minimal cardiac model of one of the authors (Fenton) by first bringing it into the form of a canonical, genetic regulatory network, and then linearizing its sigmoidal switches, in an optimal way. By leveraging the Rovergene tool for genetic regulatory networks, we are then able to successfully identify the parameter ranges of interest. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-22110-1_31 | CAV |
Keywords | Field | DocType |
mha model,minimal cardiac model,cardiac disorder,multiaffine hybrid automaton,cardiac-cell model,rovergene tool,fundamental question,genetic regulatory network,original question,cardiac cell,parameter range | Tachycardia,Cardiac cell,Spiral wave,Computer science,Action potential duration,Algorithm,Linear temporal logic,Theoretical computer science,Artificial intelligence,Cardiac disorders,Sigmoid function,Hybrid automaton | Conference |
Citations | PageRank | References |
45 | 1.78 | 10 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Radu Grosu | 1 | 1011 | 97.48 |
| Gregory Batt | 2 | 92 | 4.78 |
| Flavio H. Fenton | 3 | 93 | 12.95 |
| James Glimm | 4 | 315 | 51.57 |
| Colas Le Guernic | 5 | 598 | 26.88 |
| Scott A. Smolka | 6 | 2959 | 249.22 |
| Ezio Bartocci | 7 | 733 | 57.55 |