The development and clinical use of patient-specific models of the heart is now a feasible
goal. Models have the potential to aid in diagnosis and support decision-making in clinical …

Experimental data from human cardiac myocytes at body temperature is crucial for a
quantitative understanding of clinically relevant cardiac function and development of whole …

Virtual and augmented reality environments have been adopted in medicine as a means to
enhance the clinician's view of the anatomy and facilitate the performance of minimally …

The objective of this paper is to propose and assess an estimation procedure—based on
data assimilation principles—well suited to obtain some regional values of key biophysical …

Understanding the underlying feedback mechanisms of fluid/solid coupling and the role it
plays in heart function is crucial for characterizing normal heart function and its behavior in …

Diagnosis and treatment of dilated cardiomyopathy (DCM) is challenging due to a large
variety of causes and disease stages. Computational models of cardiac electrophysiology …

Personalization is a key aspect of biophysical models in order to impact clinical practice. In
this paper, we propose a personalization method of electromechanical models of the heart …

Personalization is the process of fitting a model to patient data, a critical step towards
application of multi-physics computational models in clinical practice. Designing robust …

Mass-spring systems are considered the simplest and most intuitive of all deformable
models. They are computationally efficient, and can handle large deformations with ease …

This paper focuses on creating guidelines for the design of products for persons with
disabilities that are applicable during early stages of design. The research uses the …