La physio-surfboard-thérapie en réadaptation neurologique: une étude sur la motivation intrinsèque

Motiver les patients neurologiques chroniques est un challenge connu en physiothérapie. La Physio-surfboard-thérapie a été développée afin de répondre à cette problématique. Le but de cette étude est d’établir un lien entre la pratique de la Physiosurfboard-thérapie et la motivation intrinsèque. Cette étude transversale comporte quatre hommes âgés de 22 à 58 ans et souffrant de pathologies ou séquelles neurologiques. Ils ont participé à la Physio-surfboard- thérapie durant l’été 2014 et ont ensuite rempli une version française et adaptée de l’Intrinsic Motivation Inventory

La validité et la fiabilité du test du jugement de la reconnaissance de la latéralité: une revue systématique

La reconnaissance de la latéralité est une capacité implicite de notre cerveau à différencier la partie du corps droite de la gauche. Elle est évaluée par le programme Recognise qui propose des images de divers membres orientés à différents degrés et dont le sujet doit indiquer la latéralité. Notre objectif est une revue de la littérature pour définir si ce test est valide et fiable.Laterality recognition is an implicit capability of our brain to differentiate between the left and right side of the body. It is evaluated by the Recognise program which offers a display of body part images oriented in various degrees. The subject has to indicate the laterality of the limb. The aim of our literature review is to establish if the test of laterality recognition is valid and reliable.Die Lateralitätserkennung ist eine implizite Fähigkeit unseres Gehirns, die linke von der rechten Körperhälfte zu unterscheiden. Sie wird durch das Programm Recognise bestimmt, das verschiedene Bilder von Gliedmassen in unterschiedlichen Stellungswinkeln zeigt. Der Teilnehmer soll die Lateralität der Gliedmassen erkennen. Das Ziel unserer Bachelorarbeit ist eine systematische Durchsicht der einschlägigen Fachliteratur, um zu bestimmen, ob der Lateralitätserkennungstest stichhaltig und verlässlich ist

Use of Rasch analysis to investigate structural validity of a set of movement control tests for the neck

In pressBackground: 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. Objective: The aim was to investigate structural validity of a set of movement control tests with Rasch analysis. Design: Cross-sectional study Methods: Thirty persons with and thirty without neck pain were recruited for this study. All persons performed ten movement control tests. A partial credit model was applied to investigate item fit, ordering of the item response functions, dimensionality and hierarchy of the tests. Results: The majority of persons with neck pain had moderate disabilities and the mean value in the Neck disability index was 10.7. Functioning of the movement control tests to measure the construct “movement control abilities” was adequate for the majority of tests. Three movement control test showed considerable misfit. Possible explanations were a reactive movement control instead of an active control and a more challenging test position. Test difficulties and person abilities could be estimated for the complete sample. The most difficult test was “sitting rocking forward” (1.13 logits) and the least difficult test was “lifting the right arm” (-1.30 logits). The highest person ability estimate was 3.61 logits indicating that movement control tests are missing to evaluate persons with moderate neck disabilities. Conclusion: Modifying the existing set of tests is required to evaluate the complete spectrum of persons with neck pain

Effectiveness of conservative interventions including exercise, manual therapy and medical management in adults with shoulder impingement: a systematic review and meta-analysis of RCTs.

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. Study selection criteria Randomised controlled trials including participants with shoulder impingement and evaluating at least one conservative intervention against sham or other treatments. Results For pain, exercise was superior to non-exercise control interventions (standardised mean difference (SMD) −0.94, 95% CI −1.69 to −0.19). Specific exercises were superior to generic exercises (SMD −0.65, 95% CI −0.99 to −0.32). Corticosteroid injections were superior to no treatment (SMD −0.65, 95% CI −1.04 to −0.26), and ultrasound guided injections were superior to non-guided injections (SMD −0.51, 95% CI −0.89 to −0.13). Nonsteroidal anti-inflammatory drugs (NSAIDS) had a small to moderate SMD of −0.29 (95% CI −0.53 to −0.05) compared with placebo. Manual therapy was superior to placebo (SMD −0.35, 95% CI −0.69 to −0.01). When combined with exercise, manual therapy was superior to exercise alone, but only at the shortest follow-up (SMD −0.32, 95% CI −0.62 to −0.01). Laser was superior to sham laser (SMD −0.88, 95% CI −1.48 to −0.27). Extracorporeal shockwave therapy (ECSWT) was superior to sham (−0.39, 95% CI −0.78 to –0.01) and tape was superior to sham (−0.64, 95% CI −1.16 to −0.12), with small to moderate SMDs. Conclusion Although there was only very low quality evidence, exercise should be considered for patients with shoulder impingement symptoms and tape, ECSWT, laser or manual therapy might be added. NSAIDS and corticosteroids are superior to placebo, but it is unclear how these treatments compare to exercise. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0

First Steps Towards a Risk of Bias Corpus of Randomized Controlled Trials

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. There are currently no RoB annotation guidelines for randomized clinical trials or annotated corpora. In this pilot project, we test the practicality of directly using the revised Cochrane RoB 2.0 guidelines for developing an RoB annotated corpus using a novel multi-level annotation scheme. We report inter-annotator agreement among four annotators who used Cochrane RoB 2.0 guidelines. The agreement ranges between 0% for some bias classes and 76% for others. Finally, we discuss the shortcomings of this direct translation of annotation guidelines and scheme and suggest approaches to improve them to obtain an RoB annotated corpus suitable for ML

Characterization of a Benchmark Database for Myoelectric Movement Classification

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. Besides describing the acquisition protocol, overall features of the datasets and the processing procedures in detail, we present benchmark classification results using a variety of feature representations and classifiers. Our comparison shows that simple feature representations such as mean absolute value and waveform length can achieve similar performance to the computationally more demanding marginal discrete wavelet transform. With respect to classification methods, the nonlinear support vector machine was found to be the only method consistently achieving high performance regardless of the type of feature representation. Furthermore, statistical analysis of these results shows that classification accuracy is negatively correlated with the subject's Body Mass Index. The analysis and the results described in this paper aim to be a strong baseline for the NINAPRO database. Thanks to the NINAPRO database (and the characterization described in this paper), the scientific community has the opportunity to converge to a common position on hand movement recognition by surface electromyography, a field capable to strongly affect hand prosthesis capabilities. © 2014 IEEE