Protocolo de fisioterapia, com auxílio de biofeedback electromiográfico, em utentes com disfunções do ombro: efeitos na dor, funcionalidade e estabilidade dinâmica

RESUMO: Introdução: A dor e disfunções do movimento no complexo articular do ombro (CAO) são comuns e debilitantes. O uso de exercícios segundo os pressupostos de estabilidade dinâmica (ED), com auxílio de Biofeedback electromiográfico (BEMG) tem vindo a ser referido, como uma forma de aumentar a efectividade da intervenção nas disfunções do complexo articular do ombro (DCAO)Objectivo Principal: Estudar os efeitos de um protocolo de intervenção, com BEMG, cujas finalidades foram abolir a dor, aumentar a funcionalidade e a ED da omoplata, em utentes com DCAO. Objectivos secundários: Comparar os subgrupos e quanto às características, resultados, tempos de intervenção total e até atingir critérios de alta; Comparar os resultados nos momentos inicial e final. Métodos: Foi realizado um coorte clínico, longitudinal, retrospectivo, observacional, analítico. A amostra foi constituída por 82 sujeitos, divididos em dois subgrupos (n=53 SCSA e n=29 IGU). Os instrumentos de medida utilizados foram a EVA, o DASH, o SPADI e o BEMG. Foi seguido o protocolo de ED proposto por Santos e Matias (2007), de acordo com as 3 fases de intervenção por eles descritas, realizando uma sessão semanal, monitorizando exercícios que seguem estes princípios, com BEMG. Foram avaliadas as variáveis dor, postura, padrão de recrutamento, controlo motor, posição inicial da omoplata (PIO), amplitudes articulares (AA’s), força muscular (FM) e postura. Para analisar os dados, recorreu-se a estatística descritiva e inferencial. Resultados: A intervenção foi efectiva na abolição da dor no momento (0,43 para 0,00/10EVA no subgrupo SCSA e 0,66 para 0,00/10EVA no subgrupo IGU) na pior dor (5,47/10EVA para 0,06/10EVA no subgrupo SCSA e 5,28/10 para 0,14/10 no subgrupo IGU), no aumento da função (28,57 para 0,66/100DASH e 39,00 para 0,63/100SAPDI no subgrupo SCSA e 25,80 para 0,38/100DASH e 28,19 para 0,39/100 no subgrupo IGU) e no aumento da ED da omoplata com normalização do padrão de recrutamento, controlo motor, PIO dentro do espectro de normalidade e boa capacidade de controlar a sua posição, ao longo do movimento do membro superior (MS). A intervenção proporcionou, ainda a normalização das AA’s, FM e autocorrecção postural. O tempo médio de intervenção foi de 6,45semanas no subgrupo SCSA e 5,83sem no subgrupo IGU. Estes resultados são semelhantes comparativamente a estudos que utilizaram uma intervenção baseada nos mesmos princípios (Matias e Cruz, 2004; Cunha e Matias, 2006; Santos e Matias, 2007; Rodrigues e Matias, 2009). Conclusão: O protocolo de intervenção aplicado, com uso de exercícios baseados nos princípios da ED e uso de BEMG, permitiu o alcance dos objectivos, junto de utentes com DCAO (SCSA e IGU). Verificou-se que, independentemente da condição, os resultados foram idênticos em ambos subgrupos, não apresentando diferenças significativas entre as variáveis de medida final, o tempo total de intervenção e os tempos até atingir os critérios de alta, expecto para a Dor, sendo este superior no subgrupo SCSA.---------------------------------------- ABSTRACT:Introduction: Movement disorders and pain in the shoulder joint complex (SJC) are common and debilitating. The use of exercises under the premises of dynamic stability (DS), with the aid of electromyographic biofeedback (EMGBF) has been mentioned as a way to increase the effectiveness of the intervention in disorders of the shoulder joint complex (DSJC) Main Objective: To evaluate the results of an intervention protocol, with EMGBF whose aims were to abolish the pain, increase functionality and DS of the scapula in patients with DSJC. Objectives: To compare the subgroups and the characteristics, outcomes, and total intervention times to reach discharge criteria; to compare the results at the beginning and at the end. Methods: We conducted a clinical cohort, longitudinal, retrospective, observational analysis. The sample consisted of 82 subjects, divided into two subgroups (n = 53 shoulder impingement syndrome SIS n = 29 shoulder joint instability SJI). The measurement instruments used were the VAS, DASH, SPADI, and EMGBF. It was followed the DS protocol proposed by Santos and Matias (2007), according to the three phases of intervention, described by performing a weekly session, monitoring exercises that follow these principles, with EMGBF. The variables were pain, posture, recruitment pattern, motor control, the initial position of the scapula (IPS), range of motion (ROM), muscular strength (MS) and posture. To analyze the data, we used the descriptive and inferential statistics. Results: The intervention was effective in abolishing the pain at the time (0.43 to 0.00/10 VAS in the SIS subgroup and 0.66 to 0.00/10 VAS in the SJI subgroup) in worst pain (5.47 to 0,06/10 VAS in the SIS subgroup and 5.28/ to 0.14/10 VAS in the SJI subgroup), increasing the function (28,57 to 0,66/100 DASH and 39,00 to 0,63/100 SAPDI in the SIS subgroup and 25,80 to 0,38/100 DASH and 28,19 to 0,39/100 SPADI in the SJI subgroup) and the increase in DS of the scapula with normalization of the pattern recruitment, motor control, IPS within the spectrum of normalcy and good ability to control its position along the movement of the upper limb (UL). The intervention provided, although the normalization of ROM, MS and self-correcting posture. The average length of intervention was 6.45 weeks in the SIS subgroup and 5.83 in the IS subgroup. These results are comparable with similar studies that used an intervention based on the same principles (Matias e Cruz, 2004; Cunha e Matias, 2006; Santos e Matias, 2007; Rodrigues e Matias, 2009). Conclusion: The intervention protocol implemented with the use of exercises based on the principles of DS and the use of EMGBF was effective, allowing the accomplishment of goals, in patients with DSJC (SIS and SJI). It was found that, regardless of condition, the results were identical in both groups, showing no significant differences between the variables of the final measure, the total time of intervention and the times to reach discharge criteria, except for pain, which was higher in the SIS subgroup.

Selection Constructive based Hyper-heuristic for Dynamic Scheduling

A função de escalonamento desempenha um papel importante nos sistemas de produção. Os sistemas de escalonamento têm como objetivo gerar um plano de escalonamento que permite gerir de uma forma eficiente um conjunto de tarefas que necessitam de ser executadas no mesmo período de tempo pelos mesmos recursos. Contudo, adaptação dinâmica e otimização é uma necessidade crítica em sistemas de escalonamento, uma vez que as organizações de produção têm uma natureza dinâmica. Nestas organizações ocorrem distúrbios nas condições requisitos de trabalho regularmente e de forma inesperada. Alguns exemplos destes distúrbios são: surgimento de uma nova tarefa, cancelamento de uma tarefa, alteração na data de entrega, entre outros. Estes eventos dinâmicos devem ser tidos em conta, uma vez que podem influenciar o plano criado, tornando-o ineficiente. Portanto, ambientes de produção necessitam de resposta imediata para estes eventos, usando um método de reescalonamento em tempo real, para minimizar o efeito destes eventos dinâmicos no sistema de produção. Deste modo, os sistemas de escalonamento devem de uma forma automática e inteligente, ser capazes de adaptar o plano de escalonamento que a organização está a seguir aos eventos inesperados em tempo real. Esta dissertação aborda o problema de incorporar novas tarefas num plano de escalonamento já existente. Deste modo, é proposta uma abordagem de otimização – Hiper-heurística baseada em Seleção Construtiva para Escalonamento Dinâmico- para lidar com eventos dinâmicos que podem ocorrer num ambiente de produção, a fim de manter o plano de escalonamento, o mais robusto possível. Esta abordagem é inspirada em computação evolutiva e hiper-heurísticas. Do estudo computacional realizado foi possível concluir que o uso da hiper-heurística de seleção construtiva pode ser vantajoso na resolução de problemas de otimização de adaptação dinâmica.

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

In recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.

Distributed Forest Fire Monitoring Using Wireless Sensor Networks

Disaster management is one of the most relevant application fields of wireless sensor networks. In this application, the role of the sensor network usually consists of obtaining a representation or a model of a physical phenomenon spreading through the affected area. In this work we focus on forest firefighting operations, proposing three fully distributed ways for approximating the actual shape of the fire. In the simplest approach, a circular burnt area is assumed around each node that has detected the fire and the union of these circles gives the overall fire’s shape. However, as this approach makes an intensive use of the wireless sensor network resources, we have proposed to incorporate two in-network aggregation techniques, which do not require considering the complete set of fire detections. The first technique models the fire by means of a complex shape composed of multiple convex hulls representing different burning areas, while the second technique uses a set of arbitrary polygons. Performance evaluation of realistic fire models on computer simulations reveals that the method based on arbitrary polygons obtains an improvement of 20% in terms of accuracy of the fire shape approximation, reducing the overhead in-network resources to 10% in the best case.

Emerging (Bio)Sensing Technology for Assessing and Monitoring Freshwater Contamination – Methods and Applications

Ecological Water Quality - Water Treatment and Reuse

A biomimetic sensor for monitoring oxidative stress biomarker in point-of-care

1st ASPIC International Congress

Multifunctional Biosensor Based on Localized Surface Plasmon Resonance for Monitoring Small Molecule–Protein Interaction

We report an optical sensor based on localized surface plasmon resonance (LSPR) to study small-molecule protein interaction combining high sensitivity refractive index sensing for quantitative binding information and subsequent conformation-sensitive plasmon-activated circular dichroism spectroscopy. The interaction of α-amylase and a small-size molecule (PGG, pentagalloyl glucose) was log concentration-dependent from 0.5 to 154 μM. In situ tests were additionally successfully applied to the analysis of real wine samples. These studies demonstrate that LSPR sensors to monitor small molecule–protein interactions in real time and in situ, which is a great advance within technological platforms for drug discovery.

Distributed Sensing of Fluid Dynamic Phenomena with the XDense Sensor Grid Network

IEEE International Conference on Cyber Physical Systems, Networks and Applications (CPSNA'15), Hong Kong, China.

A Novel Run-Time Monitoring Architecture for Safe and Efficient Inline Monitoring

20th International Conference on Reliable Software Technologies - Ada-Europe 2015 (Ada-Europe 2015), Madrid, Spain.

Dynamic Analysis and Pattern Visualization of Forest Fires

This paper analyses forest fires in the perspective of dynamical systems. Forest fires exhibit complex correlations in size, space and time, revealing features often present in complex systems, such as the absence of a characteristic length-scale, or the emergence of long range correlations and persistent memory. This study addresses a public domain forest fires catalogue, containing information of events for Portugal, during the period from 1980 up to 2012. The data is analysed in an annual basis, modelling the occurrences as sequences of Dirac impulses with amplitude proportional to the burnt area. First, we consider mutual information to correlate annual patterns. We use visualization trees, generated by hierarchical clustering algorithms, in order to compare and to extract relationships among the data. Second, we adopt the Multidimensional Scaling (MDS) visualization tool. MDS generates maps where each object corresponds to a point. Objects that are perceived to be similar to each other are placed on the map forming clusters. The results are analysed in order to extract relationships among the data and to identify forest fire patterns.

The potential of molecular imprinting as a biosensing devices for monitoring the CEA cancer biomarker

6th Graduate Student Symposium on Molecular Imprinting

A disposable glass-based immunosensor for monitoring the cancer biomarker CEA in urine

NanoPT 2014 International Conference, in Portugal, on February 12-14. Poster presentation based on topic Nanobio/Nanomedicine

Studies on entomological monitoring: mosquito species frequency in riverine habitats of the Igarapava Dam, Southern Region, Brazil

Diversity of mosquito species was evaluated in different habitats before and after the Igarapava reservoir flooding in the Grande River, Southern Cerrado of Brazil. We aimed at verifying changes in these mosquito populations in consequence of the lake formation. Four habitats were selected as sampling stations: peridomiciliary habitat, pasture, "veredas" and gallery forest patch. Bimonthly collections were made with the Shannon trap and human bait, including diurnal, crepuscular and nocturnal period of mosquito activity. The Shannon Index results from the potential vectors were compared using Student t-test. Aedes scapularis, Anopheles darlingi and An. albitarsis senso latu seasonal abundance were described with moving average and compared using chi2 test. There were changes in the mosquito frequency in the habitats, except for the "veredas" that was 13 km away from the catchment area. The altering in mosquito species seasonal abundance suggests breeding places expansion. Diversity indexes can be used to monitor changes in mosquito vector population in environments where abrupt disturbance can alter disease transmission cycles.

A Novel Runtime Monitoring Architecture

Poster presented in 28th GI/ITG International Conference on Architecture of Computing Systems (ARCS 2015). 25 to 28, Mar, 2015, Poster Session. Porto, Portugal.

Monitoring for a decidable fragment of MTLD

The 15th International Conference on Runtime Verification (RV'15). 22-25 September. Vienna, Austria.