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The annual OARSI Congress will be held in Liverpool from 26 to 29 April 2018. The annual OARSI Congress is a global forum for those involved in OA research and treatment from academia and industry; including basic scientists, clinical investigators, radiologists, rheumatologists, orthopedic surgeons, physicians in physical medicine and rehabilitation, allied health professionals and policy makers.

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Abstract

A novel fuzzy decision tree-based SVM (FDT-SVM) classifier is proposed in this paper, to distinguish between asymptotic (AS) and osteoarthritis (OA) knee gait patterns and to investigate OA severity using 3-D ground reaction force (GRF) measurements. FDT-SVM incorporates effective techniques for feature selection (FS) and class grouping (CG) at each non-leaf nodes of the tree structure, which reduce the overall complexity of DT building and alleviate the overfitting effect. The embedded FS and CG are based on the notion of fuzzy partition vector (FPV) that comprises the fuzzy membership degrees of every pattern in their target classes, serving as a local evaluation metric with respect to patterns. FS is driven by a fuzzy complementary criterion (FuzCoC) which assures that features are iteratively introduced, providing the maximum additional contribution in regard to the information content given by the previously selected features. A novel Wavelet Packet (WP) decomposition based on the FuzCoC principles is also introduced, to distinguish informative and complementary features from GRF data. The quality of our method is validated in terms of statistical metrics drawn by confusion matrices, such as sensitivity, specificity and total classification accuracy. In addition, we investigate the impact of each GRF component. Finally, comparative results with existing techniques are given, demonstrating the efficacy of the suggested approach.

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Background: Current multimodal approaches for the management of non-specific patellofemoral pain are not optimal, however, targeted intervention for subgroups could improve patient outcomes. This study explores whether subgrouping of non-specific patellofemoral pain patients, using a series of low cost simple clinical tests, is possible.

Continue reading Are there three main subgroups within the patellofemoral pain population? A detailed characterisation study of 127 patients to help develop targeted intervention (TIPPs), Selfe, J. et al. , British Journal of Sports Medicine, 50 (14), pp. 873-880, 2016.

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Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Methodologies, Models and Algorithms for Patients Rehabilitation”.

Objectives: The objective of the proposed approach is to develop a clinical decision support system (DSS) that will help clinicians optimally plan the ACL reconstruction procedure in a patient specific manner.

Continue reading ACL Reconstruction Decision Support. Personalized Simulation of the Lachman Test and Custom Activities, D. Stanev et al., Methods of Information in Medicine, 55 (1), pp. 98-105, January, 2016.

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Objective: This work proposes an operational task space formalization of constrained musculoskeletal systems, motivated by its promising results in the field of robotics.

Continue reading Simulation of Constrained Musculoskeletal Systems in Task Space, D. Stanev and K. Moustakas, IEEE Transactions on Biomedical Engineering, 11.1109/TBME.2017.2764630.

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Osteoarthritis is a condition that affects the joints. The surfaces within the joints become damaged so the joint doesn’t move as smoothly as it should. When a joint develops osteoarthritis, some of the cartilage covering the ends of the bones gradually roughens and becomes thin, and the bone underneath thickens.

For more information on symptoms, causes, diagnosis and treatments: Visit Link

 

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