Miguel Ángel Fernández

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We address the numerical simulation of fluid-structure systems involving an incompressible viscous fluid. This issue is particularly difficult to face when the fluid added-mass acting on the structure is strong, as it happens in hemodynamics for example. Indeed, several works have shown that, in such situations, implicit coupling seems to be necessary in(More)
This paper aims at introducing a partitioned Newton based method for solving nonlinear coupled systems arising in the numerical approximation of fluid-structure interaction problems. We provide a method which characteristic lies in the use of exact cross jacobians evaluation involving the shape derivative of the fluid state with respect to solid motion(More)
Invasiveness and lack of autonomy are reported as the main barriers of current physical activity measurement systems. A non-invasive and autonomous physical activity measurement system is proposed in this work. The system is based on the use of a wearable device, a data gateway and a remote service to collect and process data. Using a watch-like device, the(More)
Abnormal human behavior detection under free-living conditions is a reliable technique to detect activity disorders and diseases. This work proposes an acceleration-based algorithm to detect abnormal behavior as an abnormal increase or decrease in physical activity (PA). The algorithm is based on statistical features of human physical activity. Using a(More)
In this work, we address the numerical solution of some non-linear problems arising in the time discretization of fluid– structure interaction problems with fully implicit schemes. At each time step, we have to solve a highly non-linear coupled system, since the fluid domain depends on the unknown displacement of the structure. We propose a modified(More)
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