In clinical movement biomechanics, kinematic measurements are collected to characterise the motion of articulating joints and investigate how different factors influence movement patterns. Representative time-series signals are calculated to encapsulate (complex and multidimensional) kinematic datasets succinctly. Exacerbated by numerous difficulties to consistently define joint coordinate frames, the influence of local frame orientation and position on the characteristics of the resultant kinematic signals has been previously proven to be a major limitation.
View Article and Find Full Text PDFBackground: Frequent consumption of sugar-sweetened beverages (SSB) is associated with an increased risk of some health outcomes.
Objective: We investigated the relationships between knowledge of health risks related to SSB and SSB intake among adults.
Methods: This cross-sectional study utilized data from the 2021 SummerStyles survey.
In modern knee arthroplasty, surgeons increasingly aim for individualised implant selection based on data-driven decisions to improve patient satisfaction rates. The identification of an implant design that optimally fits to a patient's native kinematic patterns and functional requirements could provide a basis towards subject-specific phenotyping. The goal of this study was to achieve a first step towards identifying easily accessible and intuitive features that allow for discrimination between implant designs based on kinematic data.
View Article and Find Full Text PDFPurpose: To describe a new feature in pathologic myopia: perivascular patchy chorioretinal atrophy (PVCA) DESIGN: Cross-sectional study METHODS: 604 eyes of 312 highly myopic patients followed at Strasbourg University Hospitals were reviewed for the presence of PVCA lesions. Demographic, clinical, and paraclinical data (ultra-widefield retinography, optical coherence tomography (OCT), fluorescein and indocyanine green angiography images) were analyzed. Controls were matched for age, sex, and axial length (AL).
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