Name
Abstract | ||
|---|---|---|
The mechanisms leading to the initiation of normal, premature or dysfunctional human labour are poorly understood, as animal models are inappropriate, and experimental studies are limited. Computational modelling provides a means of linking non-invasive clinical data with the results of in vitro cell and tissue physiology. Nonlinear wave processes – propagation in an excitable medium – provides a quantitatively testable description of mechanisms of premature and full term labour, and a view of changes in uterine electrophysiology during gestation as a trajectory in excitation and intercellular coupling parameter space. Propagation phenomena can account for both premature and full term labour. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.biosystems.2013.03.012 | Biosystems |
Keywords | Field | DocType |
Computational biology,Uterus,Pregnancy,Birth | Neuroscience,Excitable medium,Biology,Internal medicine,Artificial intelligence,Endocrinology,Machine learning | Journal |
Volume | Issue | ISSN |
112 | 2 | 0303-2647 |
Citations | PageRank | References |
1 | 0.40 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eleftheria Pervolaraki | 1 | 1 | 1.42 |
| Arun V. Holden | 2 | 52 | 20.71 |