Prediction of joint center location by customizable multiple regressions: Application to clavicle, scapula and humerus

Femur shape prediction by multiple regression based on quadric surface fitting

“…Vector values were predicted as VC ¼ A 1 L 1 þ A 2 L 2 þ A 3 L 3 þðA 4 ,A 5 ,A 6 Þ T . Similar to those of Sholukha et al (2009) better regression results are obtained for bones, in which size is included within the database range, estimated by two methods as follows:…”

“…The main goal of this paper is the description of the pipeline allowing storage of bone characteristics and the determination of regression relationships applicable for in-vivo femoral bone shape prediction. The adopted multiple regression approach is similar to that of Sholukha et al (2009). In-vitro and in-vivo accuracy analysis was performed.…”

The long-term outcome of displaced mid-third clavicle fractures on scapular and shoulder function: variations between immediate surgery, delayed surgery, and nonsurgical management

“…27 These measures have been shown to be accurate and to correlate with shoulder disease. 19,51,53,55 The clinical review also included radiologic examination for shortening of the clavicle. This was measured with a standardized radiograph, a single anteroposterior view inclusive of both clavicles similar to that used in other studies comparing clavicle length.…”

Model-based approach for human kinematics reconstruction from markerless and marker-based motion analysis systems

“…Joint center determination was evaluated using previously-published work based on fitting by primitive geometrical objects (e.g., quadric surfaces for the femoral condyles, or spheres for the femoral head) (Sholukha et al, 2011a). For in-vivo data, joint centers were obtained from previously-published regression methods (Sholukha et al, 2009(Sholukha et al, , 2011a) applied on the above-located ALs.…”