English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Valvular heart diseases are growing concern in impoverished parts of theworld, such as Southern-Africa, claiming more than 31 % of total deaths relatedto cardiovascular diseases. The ability to model the effects of regurgitant andobstructive lesions on the valve body can assist clinicians in preparingpersonalised treatments. In the present work, a multi-compartment lumpedparameter model of the human cardiovascular system is developed, with a newlyproposed valve modelling approach which accounts for geometry and flow regimedependent pressure drops along with the valve cusp motion. The model is appliedto study various degrees of aortic stenosis using typical human cardiovascularparameters. The results generated with the proposed model, are compared topredictions using previously published valve modelling approaches and both setsof results are compared to typical local and global physiological parametersfound in literature such left-ventricular systolic pressures, peak and meanaortic valve pressure drops and vena contracta velocities. The results showthat the previously published valve models under predicts expected severelystenosed peak and mean transvalvular pressure drops by approximately 47% and30% respectively, whereas the newly proposed model under predicts the peakpressure drop by 20% and over predicts mean pressure drop by 7%.

Dynamic simulation of aortic valve stenosis using a lumped parameter  cardiovascular system model with flow regime dependent valve pressure loss  characteristics