Uncertainty quantification reveals the physical constraints on pumping by peristaltic hearts.

ABSTRACT: Most biological functional systems are complex, and this complexity is a fundamental driver of diversity. Because input parameters interact in complex ways, a holistic understanding of functional systems is key to understanding how natural selection produces diversity. We present uncertainty quantification (UQ) as a quantitative analysis tool on computational models to study the interplay of complex systems and diversity. We investigate peristaltic pumping in a racetrack circulatory system using a computational model and analyse the impact of three input parameters (Womersley number, compression frequency, compression ratio) on flow and the energetic costs of circulation. We employed two models of peristalsis (one that allows elastic interactions between the heart tube and fluid and one th

SUBMITTER: Waldrop LD 

PROVIDER: S-EPMC7536061 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature