988 resultados para Arthrometry articular


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INTRODUÇÃO: A utilização da fotogrametria computadorizada em prol da goniometria, ou vice-versa, na prática clínica ainda necessita de fundamentações consistentes. OBJETIVOS: Os objetivos deste estudo foram: verificar a confiabilidade inter e intraexaminadores avaliadores na quantificação das medidas angulares obtidas a partir da fotogrametria computadorizada e a goniometria e determinar a confiabilidade paralela entre esses dois diferentes instrumentos de avaliação. MATERIAIS E MÉTODOS: 26 voluntários e 4 examinadores foram utilizados no estudo. A coleta foi realizada em 4 etapas sequenciais: demarcação dos pontos anatômicos de referência, mensuração e registro dos valores goniométricos, captação da imagem do voluntário com os marcadores fixados no corpo e avaliação do registro fotográfico no programa ImageJ. RESULTADOS: O goniômetro é um instrumento confiável na maioria das evidências, porém, a confiabilidade das medições depende principalmente da uniformização dos procedimentos. Considerações metodológicas relativas ao estabelecimento de confiabilidade e padronização da colocação dos marcadores se fazem necessárias, de modo a oferecer opções de avaliação ainda mais confiáveis para a prática clínica. CONCLUSÃO: Ambos os instrumentos são confiáveis e aceitáveis, porém, mais evidências ainda são necessárias para suportar a utilização desses instrumentos, pois poucos pesquisadores têm utilizado o mesmo desenho de estudo, e a comparação dos resultados entre eles muitas vezes são difíceis.

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Although previous work in nonlinear dynamics on neurobiological coordination and control has provided valuable insights from studies of single joint movements in humans, researchers have shown increasing interest in coordination of multi-articular actions. Multi-articular movement models have provided valuable insights on neurobiological systems conceptualised as degenerate, adaptive complex systems satisfying the constraints of dynamic environments. In this paper, we overview empirical evidence illustrating the dynamics of adaptive movement behavior in a range of multi-articular actions including kicking, throwing, hitting and balancing. We model the emergence of creativity and the diversity of neurobiological action in the meta-stable region of self organising criticality. We examine the influence on multi-articular actions of decaying and emerging constraints in the context of skill acquisition. We demonstrate how, in this context, transitions between preferred movement patterns exemplify the search for and adaptation of attractor states within the perceptual motor workspace as a function of practice. We conclude by showing how empirical analyses of neurobiological coordination and control have been used to establish a nonlinear pedagogical framework for enhancing acquisition of multi-articular actions.

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The identification of attractors is one of the key tasks in studies of neurobiological coordination from a dynamical systems perspective, with a considerable body of literature resulting from this task. However, with regards to typical movement models investigated, the overwhelming majority of actions studied previously belong to the class of continuous, rhythmical movements. In contrast, very few studies have investigated coordination of discrete movements, particularly multi-articular discrete movements. In the present study, we investigated phase transition behavior in a basketball throwing task where participants were instructed to shoot at the basket from different distances. Adopting the ubiquitous scaling paradigm, throwing distance was manipulated as a candidate control parameter. Using a cluster analysis approach, clear phase transitions between different movement patterns were observed in performance of only two of eight participants. The remaining participants used a single movement pattern and varied it according to throwing distance, thereby exhibiting hysteresis effects. Results suggested that, in movement models involving many biomechanical degrees of freedom in degenerate systems, greater movement variation across individuals is available for exploitation. This observation stands in contrast to movement variation typically observed in studies using more constrained bi-manual movement models. This degenerate system behavior provides new insights and poses fresh challenges to the dynamical systems theoretical approach, requiring further research beyond conventional movement models.

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Articular cartilage damage is a persistent and increasing problem with the aging population, and treatments to achieve biological repair or restoration remain a challenge. Cartilage tissue engineering approaches have been investigated for over 20 years, but have yet to achieve the consistency and effectiveness for widespread clinical use. One of the potential reasons for this is that the engineered tissues do not have or establish the normal zonal organization of cells and extracellular matrix that appears critical for normal tissue function. A number of approaches are being taken currently to engineer tissue that more closely mimics the organization of native articular cartilage. This review focuses on the zonal organization of native articular cartilage, strategies being used to develop such organization, the reorganization that occurs after culture or implantation, and future prospects for the tissue engineering of articular cartilage with biomimetic zones.