Abstract.The upper limbs plays a key role in the performance of ADL, from support to total execution. However, Often rehabilitations therapies sacrifices the regaining of functionality to other functions as transportation. Therefore an automatic system capable of recognize ADL based on the information provided by upper limbs is needed. Lots of algorithms have been reported using inertial sensors with limited results. The aim of this work is to describe an algorithm to recognize some ADL performed with the upper limb, such as eating, drinking, talking by phone, combing hair and brushing teeth. The algorithm is based on an alternative novel sensor that provides information of the vertical displacement of the wrist relative to the shoulder, and can be used in a free-living environment. The detection system combines decision trees (DT) and Hidden Markov Models (HMM). Efficiencies reported goes from 61% up to 100%.
Porous materials are of great importance because of their multiple applications in pharmacy, catalysis, and biomedicine among others. Ice segregation induced self-assembly (ISISA) is a cryogenic technique that uses the ice as a template that forms upon immersion of a polymer solution into liquid nitrogen to obtain highly porous materials. Some highlights of this technique are its versatility, simplicity, and control over the final structure of the produced material; besides, no organic solvents are used during the process, and the material can be used without the need of further cleaning. In this contribution, the elaboration of scaffolds using a poly(ethylene glycol) aqueous solutions by an ice-template process has been studied from experimental and theoretical viewpoints. The experimental study of the process parameters, such as immersion velocity and a prescribed freezing front on the morphology, was carried out. Simulations were performed to understand the ISISA process by calculating temperature profiles and pore size as a function of time. The most important result of this study was the effect of freezing rate on pore size. The technique was optimized such that a recipe is proposed to form materials with 1−100 μm pore sizes.
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