Head and Trunk Segment Moments of Inertia Estimation Using Angular Momentum Technique: Validity and Sensitivity Analysis

Classical models to estimate the head and trunk (HT) moments of inertia (I) are limited to populations from which the anthropometric measures were obtained. The purposes of this study were to determine if the angular momentum technique can be used to estimate subject-specific HT's I values and test its validity and sensitivity. Twenty-three adults who participated in this study were divided into three morphological groups according to their body mass index (BMI). Using the proposed technique, the HT's I values were estimated for the whole sample and compared to three well-known methods to test its validity. The sensitivity of the proposed method was verified while applied to individuals with different BMI (i.e., lean, normal, and obese). The angular momentum technique gave I values within the range of those of the three methods for the entire sample. Statistical differences were identified between the lean and obese groups in relative radii of gyration for the anteroposterior and mediolateral axes (P <; 0.05). Since the proposed technique makes no assumption on the mass distribution and segments' geometry, it appeared to be more sensitive to body morphology changes in estimating the HT's I values in lean and obese subjects compared to the classical methods.

[1]  Philip E. Martin,et al.  The use of magnetic resonance imaging for measuring segment inertial properties. , 1989, Journal of biomechanics.

[2]  J. Dowling,et al.  Analysis of body segment parameter differences between four human populations and the estimation errors of four popular mathematical models. , 2003, Journal of biomechanical engineering.

[3]  P. Leva Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters. , 1996 .

[4]  B. Colobert,et al.  Estimation of the 3-D center of mass excursion from force-plate data during standing , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[5]  I Kaleps,et al.  Investigation into the mass distribution properties of the human body and its segments. , 1984, Ergonomics.

[6]  P. Costigan,et al.  A comparison between a new model and current models for estimating trunk segment inertial parameters. , 2009, Journal of biomechanics.

[7]  R K Jensen,et al.  Human morphology: its role in the mechanics of movement. , 1993, Journal of biomechanics.

[8]  H M Toussaint,et al.  Segment inertial parameter evaluation in two anthropometric models by application of a dynamic linked segment model. , 1996, Journal of biomechanics.

[9]  J. Reid,et al.  Human Body Segment Inertia Parameters: A Survey and Status Report , 1990, Exercise and sport sciences reviews.

[10]  A Plamondon,et al.  Sensitivity analysis of segment models to estimate the net reaction moments at the L5/S1 joint in lifting. , 1998, Medical engineering & physics.

[11]  R. Jensen,et al.  Estimation of the biomechanical properties of three body types using a photogrammetric method. , 1978, Journal of biomechanics.

[12]  P. Allard,et al.  Effect of trunk inclination on lower limb joint and lumbar moments in able men during the stance phase of gait. , 2009, Clinical biomechanics.

[13]  R J Neal,et al.  Scaling segmental moments of inertia for individual subjects. , 1985, Journal of biomechanics.

[14]  H K Huang,et al.  Evaluation of cross-sectional geometry and mass density distributions of humans and laboratory animals using computerized tomography. , 1983, Journal of biomechanics.

[15]  Ernest P Hanavan,et al.  A mathematical model of the human body , 1964 .

[16]  Frank A. Pintar,et al.  Physical properties of the human head: mass, center of gravity and moment of inertia. , 2009, Journal of biomechanics.

[17]  R K Jensen,et al.  Distribution of mass to the segments of elderly males and females. , 1994, Journal of biomechanics.

[18]  John T. McConville,et al.  INVESTIGATION OF INERTIAL PROPERTIES OF THE HUMAN BODY , 1975 .

[19]  B C DUGGAR,et al.  The Center of Gravity of the Human Body , 1962, Human factors.

[20]  C. E. Clauser,et al.  Anthropometric Relationships of Body and Body Segment Moments of Inertia , 1980 .

[21]  Daniel Vélez Día,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[22]  C Larivière,et al.  The influence of trunk modelling in 3D biomechanical analysis of simple and complex lifting tasks. , 1999, Clinical biomechanics.

[23]  P. Allard,et al.  Effect of the calculation methods on body moment of inertia estimations in individuals of different morphology. , 2009, Medical engineering & physics.

[24]  J. Dowling,et al.  Body Segment Parameter Estimation of the Human Lower Leg Using an Elliptical Model with Validation from DEXA , 2006, Annals of Biomedical Engineering.

[25]  P. Allard,et al.  Determination of body segment masses and centers of mass using a force plate method in individuals of different morphology. , 2009, Medical engineering & physics.

[26]  D. Pearsall,et al.  Inertial properties of the human trunk of males determined from magnetic resonance imaging , 1994, Annals of Biomedical Engineering.

[27]  V. Heyward,et al.  Applied Body Composition Assessment , 1996 .

[28]  R. Ross,et al.  Changes in body segment inertial parameters of obese individuals with weight loss. , 2008, Journal of biomechanics.

[29]  P. Costigan,et al.  Trunk density profile estimates from dual X-ray absorptiometry. , 2008, Journal of biomechanics.

[30]  David A. Winter,et al.  Human balance and posture control during standing and walking , 1995 .

[31]  E. Berton,et al.  Influence of body segments' parameters estimation models on inverse dynamics solutions during gait. , 2006, Journal of biomechanics.

[32]  Murray Mp,et al.  Center of gravity, center of pressure, and supportive forces during human activities. , 1967 .

[33]  S. Bouisset,et al.  Experimental Determination of the Moment of Inertia of Limb Segments , 1969 .

[34]  Gavin Reid,et al.  The Study of Human Body Segment Parameters in Biomechanics , 1994, Sports medicine.

[35]  Cheng-Lung Lee,et al.  A three-dimensional mathematical model for predicting spinal joint force distribution during manual liftings. , 1998, Clinical biomechanics.

[36]  D A Winter,et al.  Sampling duration effects on centre of pressure summary measures. , 2001, Gait & posture.

[37]  Marianne J R Gittoes,et al.  Component inertia modeling of segmental wobbling and rigid masses. , 2006, Journal of applied biomechanics.

[38]  R. Riemer,et al.  Uncertainties in inverse dynamics solutions: a comprehensive analysis and an application to gait. , 2008, Gait & posture.

[39]  Douglas G. Altman,et al.  Measurement in Medicine: The Analysis of Method Comparison Studies , 1983 .

[40]  H Hatze A mathematical model for the computational determination of parameter values of anthropomorphic segments. , 1980, Journal of biomechanics.