Statistical Analyses of Femur Parameters for Designing Anatomical Plates
Joint Authors
Wang, Lin
He, Kunjin
Chen, Zhengming
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-01
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Lin& He, Kunjin& Chen, Zhengming. 2016. Statistical Analyses of Femur Parameters for Designing Anatomical Plates. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1100059
Modern Language Association (MLA)
Wang, Lin…[et al.]. Statistical Analyses of Femur Parameters for Designing Anatomical Plates. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1100059
American Medical Association (AMA)
Wang, Lin& He, Kunjin& Chen, Zhengming. Statistical Analyses of Femur Parameters for Designing Anatomical Plates. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1100059
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100059