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This study aimed to define the normative values of the DASH score in healthy individuals over 50 years of age. One hundred and twenty subjects equally representing both genders and six age categories (50−54, 55−59, 60−64, 65−69, 70−74 and 75−80 years), with no past medical history affecting the upper limb, were asked to complete the DASH questionnaire. A visual analogue scale for pain and an HAQ-DI questionnaire were also completed to confirm the absence of symptomatic untreated upper limb pathologies. In this series of a priori normal subjects, most had a DASH score greater than 0. Moreover, the DASH score was found to rise with age, with a statistically significant difference between women and men. The DASH questionnaire is widely accepted in the everyday medical practice as a tool to evaluate upper limb function. However, age adjustment of the DASH questionnaire is necessary to correctly evaluate the clinical status and progression of individuals over the age of 50.

Le syndrome d’Ehlers-Danlos hypermobile (SED-H), décrit aussi comme syndrome d’hypermobilité articulaire, est la maladie héréditaire du tissu conjonctif la plus fréquente. La présentation clinique du SED-H est hétérogène et s’exprime par des manifestations en relation avec une atteinte de nombreux organes en raison de la présence du collagène dans tout le corps. Avec une symptomatologie riche mais négligée par le corps médical, le SED-H est associé à certaines problématiques qui méritent l’attention d’un point de vue psychologique. Ce sont, par exemple, la psychopathologie associée, les déficits cognitifs, les douleurs chroniques et les difficultés dans l’adaptation des enfants au milieu scolaire, entre autres. Ces aspects, qui peuvent aggraver les situations de handicap d’origine somatique, doivent être pris en compte dans la prise en charge globale du SED-H.

A new image filtering method, termed power-filtering, is proposed for use in microscopic particle image velocimetry (PIV) to control the depth of correlation, independent of the image acquisition system, particle size, and flow characteristics. An analytical model of the depth of correlation for the filtered images is developed and verified with a series of careful experiments. This model predicts that the depth of correlation can be increased or decreased by a factor of two by applying power-filter values of 0.63 and 2.0, respectively. Experiments show that the analytical model for the power filtering technique is generally accurate to within the measurement uncertainty.