A predictive analysis of the conservative scoliosis treatment is necessary, in which a 3D model of an optimal treatment algorithm is a basic part in the design of a prosthetic corset. Since CAD technology has proven to be very useful in the field of prosthetics and orthotics, we used an open-source software to plan the correction of the scoliotic curve on a virtual model of the subject’s torso. The shape of the scoliosis was simplified by means of a directional polygon, which was drawn in a reverse manner depending on the directional arcs of the scoliotic curve. The resulting scoliosis correction, simulated in a predictive analysis, was defined by changing the Cobb angle, eccentricity, and torso height. With the proposed low-cost method of predictive analysis, it is possible to help CPOs to a more accurate and effective design of orthoses and corrective aids and to comprehensively determine the entire treatment procedure.
One of the modern trends in prosthetics and orthotics is the production of design covers for lower limb prostheses. Thanks to the advantages of CAD/CAM, there are no limits to the design of these covers. At present, there are companies that provide design covers produced by additive manufacturing, but their price is relatively high. In this work, the motivation and design procedure of an individual cover for a lower limb prosthesis for a specific user is discussed. The aim of this study is to propose a design methodology of an individual lower limb prosthesis cover using freely downloadable CAD software based on 3D scanning data, which will be produced by additive manufacturing technology.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.