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The appropriate use of regression equations for the estimation of segmental inertia parameters
Publikationstyp
Journal Article
Date Issued
1989
Sprache
English
Author(s)
Yeadon, Maurice Raymond Fred
Journal
Volume
22
Issue
6-7
Start Page
683
End Page
689
Citation
Journal of Biomechanics 22 (6-7): 683-689 (1989)
Publisher DOI
Scopus ID
Publisher
Elsevier Science
Linear regression equations are commonly used in conjunction with experimental data to provide linear relationships between quantities which are dimensionally distinct. In many cases theoretical relationships between such quantities are known and can be used as a basis for non-linear regression equations. This study compares linear and non-linear approaches for estimating the segmental moments of inertia from anthropometric measurements using the data of Chandler et al. [Chandler et al. (1975) Investigation of inertial properties of the human body. AMRL Technical Report 74-137, Wright Patterson Air Force Base, OH.]. Right limb data were used to derive the equations while left limb data were used as a cross-validation sample to evaluate the inertia estimates calculated from the equations. For the limb segments the standard error estimates had average values of 21% for the linear equations and 13% for the non-linear equations. Data on a 10 yr-old boy was used to compare the two approaches outside the sample range. The mean percentage residuals were 286% for the linear equations and 20% for the non-linear equations. A set of non-linear equations is provided. © 1989.
DDC Class
570: Life Sciences, Biology