Title of article :
Statistical Analyses of Femur Parameters for Designing Anatomical Plates
Author/Authors :
Wang, Lin Hohai University - Changzhou, China , He, Kunjin Hohai University - Changzhou, China , Chen, Zhengming Hohai University - Changzhou, China
Abstract :
Femur parameters are key prerequisites for scientifically designing anatomical plates. Meanwhile, individual differences in femurs
present a challenge to design well-fitting anatomical plates. Therefore, to design anatomical plates more scientifically, analyses
of femur parameters with statistical methods were performed in this study. The specific steps were as follows. First, taking eight
anatomical femur parameters as variables, 100 femur samples were classified into three classes with factor analysis and Q-type
cluster analysis. Second, based on the mean parameter values of the three classes of femurs, three sizes of average anatomical plates
corresponding to the three classes of femurs were designed. Finally, based on Bayes discriminant analysis, a new femur could be
assigned to the proper class.Thereafter, the average anatomical plate suitable for that new femur was selected from the three available
sizes of plates. Experimental results showed that the classification of femurs was quite reasonable based on the anatomical aspects
of the femurs. For instance, three sizes of condylar buttress plates were designed. Meanwhile, 20 new femurs are judged to which
classes the femurs belong. Thereafter, suitable condylar buttress plates were determined and selected.
Keywords :
Analyses , Q-type , Anatomical Plates
Journal title :
Computational and Mathematical Methods in Medicine