O efeito da aplicação da Estimulação Elétrica Funcional na reabilitação em adultos com lesão medular completa. Revisão Sistemática

Introdução: A Lesão Medular (LM) é um dos mais devastadores e traumáticos eventos que um Ser Humano pode vivenciar do ponto de vista clínico e emocional, demonstrando-se fundamental a disponibilização de recursos específicos para que o indivíduo possa enfrentar e gerir a sua nova realidade da melhor maneira possível. Alguns estudos têm vindo a demonstrar os benefícios de programas de reabilitação com estimulação elétrica funcional (EEF). Portanto, é de importante relevância perceber os reais efeitos da intervenção na recuperação de indivíduos com este diagnóstico. Objetivo: Analisar as evidências de abordagens de aplicação de correntes de estimulação elétrica funcional (EEF) para coadjuvar na reabilitação em adultos com lesão medular completa. Métodos: Foi conduzida uma pesquisa dos artigos preferencialmente estudos randomized controlled trials RCT´s e estudos quasi-experimentais com os mesmos participantes foram admitidos complementarmente aos experimentais compreendidos entre 2004 e 2013, bem como as citações e as referências bibliográficas de cada estudo nas principais bases de dados de ciências da saúde (Elsevier – Science Direct, Highwire Press, PEDro, PubMed, Scielo Portugal, Clinical Key, B-on, Biomed Central, LILACS- Literatura Latino-Americana e do Caribe em Ciências da Saúde) com as palavras-chave: “spinal cord injuries”, “rehabilitation, electric stimulation funtional”, “FES”, “therapy” em todas as combinações possíveis. Os estudos RCT’s foram analisados independentemente por dois revisores quanto aos critérios de inclusão e qualidade dos estudos. Resultados: Dos 857 estudos identificados apenas sete foram incluídos. Destes, dois apresentaram um score 3/10, um apresentou 4/10, um apresentou um score 5/10. O score total bem como o preenchimento ou não de cada critério encontram-se detalhados na tabela 1 e organizados por ordem alfabética de autores. Todos os estudos incluíram indivíduos com Lesão Medular Completa, idades entre 16 e 68 anos com diagnóstico de acordo com a American Spinal Injury Association (ASIA).Os programas de intervenção dividiram-se em programas de programas de força, densidade mineral óssea, cardiorrespiratório e de atividade física. Dos estudos incluídos, cinco apresentaram melhorias na reabilitação funcional para o grupo experimental, demonstrando assim uma influência positiva da estimulação elétrica funcional em lesões medulares completas. Apenas dois estudos não apresentaram diferenças estatisticamente significativas com relevância clínica. Conclusão: Há uma tendência notória do benefício dos programas com EEF em pacientes com lesões medulares completas parece melhorar a capacidade cardiorrespiratória, a densidade mineral óssea, a força e atividade física, dos indivíduos. Contudo, mais estudos com elevada qualidade metodológica serão essenciais para conceber o real efeito da sua aplicação. Palavras-chave: lesão medular completa; estimulação elétrica funcional, randomized controlled trials, revisão sistemática.

Battery management system for electric racing cars

With the introduction of the electrics cars into the market new technologies regarding the battery are being developed and new problems to be solved, one of them the battery management system because each type of cell requires a specific way of handling. This research is done using the active research method to find out the actual problem on this subject and features a BMS should have, understand how they work and how to develop them applied to the purpose on this work. Once the features the BMS should have are clarified, it’s possible to develop a BMS for an electric racing car. The decisions are made taking into consideration the nature of the vehicle being developed. After the project done it’s clear to see that what was developed was not only the BMS itself but all the other factors around it, such as CAN communication, safety control, diagnostics and so on.

A Data Mining Framework for Electric Load Profiling

This paper consists in the characterization of medium voltage (MV) electric power consumers based on a data clustering approach. It is intended to identify typical load profiles by selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The best partition is selected using several cluster validity indices. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers’ behavior. The data-mining-based methodology presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partitions. To validate our approach, a case study with a real database of 1.022 MV consumers was used.

Simulated Annealing Approach Applied to the Energy Resource Management Considering Demand Response for Electric Vehicle

The aggregation and management of Distributed Energy Resources (DERs) by an Virtual Power Players (VPP) is an important task in a smart grid context. The Energy Resource Management (ERM) of theses DERs can become a hard and complex optimization problem. The large integration of several DERs, including Electric Vehicles (EVs), may lead to a scenario in which the VPP needs several hours to have a solution for the ERM problem. This is the reason why it is necessary to use metaheuristic methodologies to come up with a good solution with a reasonable amount of time. The presented paper proposes a Simulated Annealing (SA) approach to determine the ERM considering an intensive use of DERs, mainly EVs. In this paper, the possibility to apply Demand Response (DR) programs to the EVs is considered. Moreover, a trip reduce DR program is implemented. The SA methodology is tested on a 32-bus distribution network with 2000 EVs, and the SA results are compared with a deterministic technique and particle swarm optimization results.

Distributed Energy Resources Management using Plug-in Hybrid Electric Vehicles as a Fuel-Shifting Demand Response Resource

In the smart grids context, distributed energy resources management plays an important role in the power systems’ operation. Battery electric vehicles and plug-in hybrid electric vehicles should be important resources in the future distribution networks operation. Therefore, it is important to develop adequate methodologies to schedule the electric vehicles’ charge and discharge processes, avoiding network congestions and providing ancillary services. This paper proposes the participation of plug-in hybrid electric vehicles in fuel shifting demand response programs. Two services are proposed, namely the fuel shifting and the fuel discharging. The fuel shifting program consists in replacing the electric energy by fossil fuels in plug-in hybrid electric vehicles daily trips, and the fuel discharge program consists in use of their internal combustion engine to generate electricity injecting into the network. These programs are included in an energy resources management algorithm which integrates the management of other resources. The paper presents a case study considering a 37-bus distribution network with 25 distributed generators, 1908 consumers, and 2430 plug-in vehicles. Two scenarios are tested, namely a scenario with high photovoltaic generation, and a scenario without photovoltaic generation. A sensitivity analyses is performed in order to evaluate when each energy resource is required.

Real-Time Tariffs for Electric Vehicles in Wind Power based Power Systems

The use of Electric Vehicles (EVs) will change significantly the planning and management of power systems in a near future. This paper proposes a real-time tariff strategy for the charge process of the EVs. The main objective is to evaluate the influence of real-time tariffs in the EVs owners’ behaviour and also the impact in load diagram. The paper proposes the energy price variation according to the relation between wind generation and power consumption. The proposed strategy was tested in two different days in the Danish power system. January 31st and August 13th 2013 were selected because of the high quantities of wind generation. The main goal is to evaluate the changes in the EVs charging diagram with the energy price preventing wind curtailment.

Energy Resource Management under the Influence of the Weekend Transition Considering an Intensive use of Electric Vehicles

Energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and of massive electric vehicle is envisaged. The present paper proposes a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and Vehicle-to-Grid (V2G). This method considers that the energy resources are managed by a Virtual Power Player (VPP) which established contracts with their owners. It takes into account these contracts, the users' requirements subjected to the VPP, and several discharge price steps. The full AC power flow calculation included in the model takes into account network constraints. The influence of the successive day requirements on the day-ahead optimal solution is discussed and considered in the proposed model. A case study with a 33-bus distribution network and V2G is used to illustrate the good performance of the proposed method.