Publications by authors named "Simone Elsig"

Background: Neck pain is one of the leading causes of years lived with disability, and approximately half of people with neck pain experience recurrent episodes. Deficits in the sensorimotor system can persist even after pain relief, which may contribute to the chronic course of neck pain in some patients. Evaluation of sensorimotor capacities in patients with neck pain is therefore important.

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Risk of bias (RoB) assessment of randomized clinical trials (RCTs) is vital to conducting systematic reviews. Manual RoB assessment for hundreds of RCTs is a cognitively demanding, lengthy process and is prone to subjective judgment. Supervised machine learning (ML) can help to accelerate this process but requires a hand-labelled corpus.

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Pneumonia continues to complicate the course of spinal cord injury (SCI). Currently, clinicians and policy-makers are faced with only limited numbers of pneumonia incidence in the literature. A systematic review of the literature was undertaken to provide an objective synthesis of the evidence about the incidence of pneumonia in persons with SCI.

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Objective: To investigate the effectiveness of conservative interventions for pain, function and range of motion in adults with shoulder impingement.

Design: Systematic review and meta-analysis of randomised trials.

Data Sources: Medline, CENTRAL, CINAHL, Embase and PEDro were searched from inception to January 2017.

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Background: Movement control abilities are often reduced in persons with neck pain. In physiotherapeutic practice observational tests are frequently used to assess the impaired abilities. Several tests for movement control abilities are available, but no evidence exists on how to combine and interpret them.

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Improving the functionality of prosthetic hands with noninvasive techniques is still a challenge. Surface electromyography (sEMG) currently gives limited control capabilities; however, the application of machine learning to the analysis of sEMG signals is promising and has recently been applied in practice, but many questions still remain. In this study, we recorded the sEMG activity of the forearm of 11 male subjects with transradial amputation who were mentally performing 40 hand and wrist movements.

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Introduction: Trapeziometacarpal osteoarthritis is associated with more pain and restrictions than other hand osteoarthritis due to the functional importance of the thumb. While the effectiveness of surgical and pharmacological interventions has been widely examined, there is a lack of specific evidence about conservative non-pharmacological trapeziometacarpal osteoarthritis therapies. The objective of this systematic review was to provide evidence-based knowledge on the effectiveness of physiotherapy and occupational therapy on pain, function and quality of life.

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Background: Learning of procedural skills is an essential component in the education of future health professionals. There is little evidence on how procedural skills are best learnt and practiced in education. There is a need for educators to know what specific interventions could be used to increase learning of these skills.

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The natural control of robotic prosthetic hands with non-invasive techniques is still a challenge: myoelectric prostheses currently give some control capabilities; the application of pattern recognition techniques is promising and recently started to be applied in practice but still many questions are open in the field. In particular, the effects of clinical factors on movement classification accuracy and the capability to control myoelectric prosthetic hands are analyzed in very few studies. The effect of regularly using prostheses on movement classification accuracy has been previously studied, showing differences between users of myoelectric and cosmetic prostheses.

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In this paper, we characterize the Ninapro database and its use as a benchmark for hand prosthesis evaluation. The database is a publicly available resource that aims to support research on advanced myoelectric hand prostheses. The database is obtained by jointly recording surface electromyography signals from the forearm and kinematics of the hand and wrist while subjects perform a predefined set of actions and postures.

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Assessing sensorimotor abilities, such as movement control, becomes increasingly important for the management of patients with neck pain because of the potential contribution to the development of chronic neck pain. Our aim was to evaluate whether sensorimotor tests could discriminate between persons with neck pain and persons without neck pain and to assess correlations among the assessments. A matched case-control study with 30 persons with recurrent neck pain and 30 controls was conducted.

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Recent advances in rehabilitation robotics suggest that it may be possible for hand-amputated subjects to recover at least a significant part of the lost hand functionality. The control of robotic prosthetic hands using non-invasive techniques is still a challenge in real life: myoelectric prostheses give limited control capabilities, the control is often unnatural and must be learned through long training times. Meanwhile, scientific literature results are promising but they are still far from fulfilling real-life needs.

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