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Falls and balance impairment; what and how has this been measured in adults with joint hypermobility? A scoping review.
BMC Musculoskelet Disord
January 2025
The Nick Davey Laboratory, Division of Surgery, Department of Surgery and Cancer, Faculty of Medicine, Sir Michael Uren Hub, Imperial College London, White City Campus, 86 Wood Lane, London, W12 0BZ, UK.
Background: People with joint hypermobility have excessive joint flexibility, which is more common in young women. The people with symptomatic hypermobility report poor balance and even falls. This scoping review aims to identify and map the available evidence related to balance and falling in adults with joint hypermobility to support research planning and ideas for treatment direction.
View Article and Find Full Text PDFFast, Present and Future of the Concept of Spondyloarthritis.
Curr Rheumatol Rep
January 2025
Rheumatologisches Versorgungszentrum Steglitz, Ruhr Universität Bochum, Schloßstr.110, 12163, Berlin, Germany.
Purpose Of Review: Axial spondyloarthritis (axSpA) is a rather prevalent chronic inflammatory rheumatic disease that affects already relatively young patients. It has been known better since the end of the nineteenth century but quite a lot has been learned since the early 60ies when the first classification (diagnostic) criteria for ankylosing spondylitis (AS) were agreed on. I have been part of many developments in the last 30 years, and I'm happy to have been able to contribute to the scientific progress in terms of diagnosis, imaging, pathophysiology and therapy.
View Article and Find Full Text PDFPeriodic and Aperiodic Components of Subthalamic Nucleus Activity Reflect Different Aspects of Motor Impairment in Parkinson's Disease.
Eur J Neurosci
January 2025
Laboratory of Human Cell Neurophysiology, N.N. Semenov Federal Research Center for Chemical Physics Russian Academy of Sciences, Moscow, Russia.
Excessive beta oscillations in the subthalamic nucleus are established as a primary electrophysiological biomarker for motor impairment in Parkinson's disease and are currently used as feedback signals in adaptive deep brain stimulation systems. However, there is still a need for optimization of stimulation parameters and the identification of optimal biomarkers that can accommodate varying patient conditions, such as ON and OFF levodopa medication. The precise boundaries of 'pathological' oscillatory ranges, associated with different aspects of motor impairment, are still not fully clarified.
View Article and Find Full Text PDFArrhythmia Detection by Data Fusion of ECG Scalograms and Phasograms.
Sensors (Basel)
December 2024
Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
The automatic detection of arrhythmia is of primary importance due to the huge number of victims caused worldwide by cardiovascular diseases. To this aim, several deep learning approaches have been recently proposed to automatically classify heartbeats in a small number of classes. Most of these approaches use convolutional neural networks (CNNs), exploiting some bi-dimensional representation of the ECG signal, such as spectrograms, scalograms, or similar.
View Article and Find Full Text PDFBINOCULAR INTERACTION IN AMBLYOPIA.
Georgian Med News
October 2024
5University of Georgia, Tbilisi, Georgia.
The review presents new ideas about developmental mechanisms of amblyopia, which are currently discussed in literature. Objective evidence has accumulated that amblyopia affects both monocular and binocular functions in visual processing. Given the increasing evidence of fundamental and clinical research, it is most likely that binocular dysfunction is primary, and monocular reduction is visual acuity is secondary to this disease.
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