Tenzin Wangmo, Vanessa Duong, Nadine Andrea Felber, Yi Jiao Angelina Tian, Emilian Mihailov
No playing around with robots? Ambivalent attitudes toward the use of Paro in elder care
Nursing inquiry
estimating material properties personalized human left ventricular lv modelling central problem biomechanical studies work use deep learning dl method evaluating passive myocardial mechanical properties inversely first part paper establish standardized geometric model lv geometric model parameters optimized based 27 different healthy volunteers second part use statistical methods latin hypercube sampling lhs obtain geometric parameters data lv myocardium described using structurebased orthotropic holzapfelogden constitutive law lv diastolic pressurevolume pv curves calculated numerical simulation tn third part establish multiple neural networks pblackict pv curve parameters instead using constrained optimization problems solve constitutive parameters dl used establish nonlinear mapping relationship geometric parameters pv curve parameters constitutive parameters results show deep learning method greatly improve computational efficiency numerical simulation increase possibility application rapid feedback clinical data