Desenvolvimento de equipamento para estimular a propriocepção utilizando ímãs permanentes

This study developed the Magnetic Proprioceptive Stimulator – MPS at the Technological Federal University of Parana - UTFPR to stimulate, record and quantify the proprioceptive activity of the shoulder joint, using permanent magnets. A pilot study was conducted to investigate the proprioceptive stimulation generated by MPS. The results of this study show that the magnetic and mechanical forces generated by permanent magnets can change the static and dynamic stability of the shoulder joint. The angular changes of the shoulder joint during the stimulation of proprioception were photographed, videotaped and analyzed by vector editing program. The joint movements caused by the action of the magnets were recorded by an optical sensor installed in the MPS and displayed in a graphical interface for analyzing the proprioceptive dynamics. The study concluded that the Magnetic Proprioceptive Stimulator is safe, effective to stimulate proprioception and features high economic viability.

Adaptação do paradigma orientado a notificações para desenvolvimento de sistemas fuzzy

This work proposes to adjust the Notification Oriented Paradigm (NOP) so that it provides support to fuzzy concepts. NOP is inspired by elements of imperative and declarative paradigms, seeking to solve some of the drawbacks of both. By decomposing an application into a network of smaller computational entities that are executed only when necessary, NOP eliminates the need to perform unnecessary computations and helps to achieve better logical-causal uncoupling, facilitating code reuse and application distribution over multiple processors or machines. In addition, NOP allows to express the logical-causal knowledge at a high level of abstraction, through rules in IF-THEN format. Fuzzy systems, in turn, perform logical inferences on causal knowledge bases (IF-THEN rules) that can deal with problems involving uncertainty. Since PON uses IF-THEN rules in an alternative way, reducing redundant evaluations and providing better decoupling, this research has been carried out to identify, propose and evaluate the necessary changes to be made on NOP allowing to be used in the development of fuzzy systems. After that, two fully usable materializations were created: a C++ framework, and a complete programming language (LingPONFuzzy) that provide support to fuzzy inference systems. From there study cases have been created and several tests cases were conducted, in order to validate the proposed solution. The test results have shown a significant reduction in the number of rules evaluated in comparison to a fuzzy system developed using conventional tools (frameworks), which could represent an improvement in performance of the applications.