Literature DB >> 24421737

Body Segment Inertial Parameters of elite swimmers Using DXA and indirect Methods.

Marcel Rossi1, Andrew Lyttle1, Amar El-Sallam1, Nat Benjanuvatra1, Brian Blanksby1.   

Abstract

As accurate body segment inertial parameters (BSIPs) are difficult to obtain in motion analysis, this study computed individual BSIPs from DXA scan images. Therefore, by co-registering areal density data with DXA grayscale image, the relationship between pixel color gradient and the mass within the pixel area could be established. Thus, one can calculate BSIPs, including segment mass, center of mass (COM) and moment of inertia about the sagittal axis (Ixx). This technique calculated whole body mass very accurately (%RMSE of < 1.5%) relatively to results of the generic DXA scanner software. The BSIPs of elite male and female swimmers, and young adult Caucasian males (n = 28), were computed using this DXA method and 5 other common indirect estimation methods. A 3D surface scan of each subject enabled mapping of key anthropometric variables required for the 5 indirect estimation methods. Mass, COM and Ixx were calculated for seven body segments (head, trunk, head + trunk, upper arm, forearm, thigh and shank). Between-group comparisons of BSIPs revealed that elite female swimmers had the lowest segment masses of the three groups (p < 0.05). Elite male swimmers recorded the greatest inertial parameters of the trunk and upper arms (p < 0.05). Using the DXA method as the criterion, the five indirect methods produced errors greater than 10% for at least one BSIP in all three populations. Therefore, caution is required when computing BSIPs for elite swimmers via these indirect methods, DXA accurately estimated BSIPs in the frontal plane. Key PointsElite swimmers have significantly different body segment inertial parameters than young adult Caucasian males.The errors computed from indirect BSIP estimation methods are large regardless whether applied to elite swimmers or young adult Caucasian males.No indirect estimation method consistently performed best.

Entities:  

Keywords:  Body segment inertial parameters; DXA; indirect estimation methods; swimming

Year:  2013        PMID: 24421737      PMCID: PMC3873668     

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  30 in total

1.  Image resolution of the Lunar Expert-XL.

Authors:  J A Thorpe; S A Steel
Journal:  Osteoporos Int       Date:  1999       Impact factor: 4.507

2.  Measurement of body segment parameters using dual energy X-ray absorptiometry and three-dimensional geometry: an application in gait analysis.

Authors:  Mei Kay Lee; Ngoc Sang Le; Anthony C Fang; Michael T H Koh
Journal:  J Biomech       Date:  2008-12-21       Impact factor: 2.712

3.  Using mass distribution information to model the human thigh for body segment parameter estimation.

Authors:  Jennifer L Durkin; James J Dowling; Laura Scholtes
Journal:  J Biomech Eng       Date:  2005-06       Impact factor: 2.097

4.  The simulation of aerial movement--II. A mathematical inertia model of the human body.

Authors:  M R Yeadon
Journal:  J Biomech       Date:  1990       Impact factor: 2.712

Review 5.  Human body composition: in vivo methods.

Authors:  K J Ellis
Journal:  Physiol Rev       Date:  2000-04       Impact factor: 37.312

6.  The use of magnetic resonance imaging for measuring segment inertial properties.

Authors:  P E Martin; M Mungiole; M W Marzke; J M Longhill
Journal:  J Biomech       Date:  1989       Impact factor: 2.712

7.  The appropriate use of regression equations for the estimation of segmental inertia parameters.

Authors:  M R Yeadon; M Morlock
Journal:  J Biomech       Date:  1989       Impact factor: 2.712

8.  Body segment parameter estimation of the human lower leg using an elliptical model with validation from DEXA.

Authors:  Jennifer L Durkin; James J Dowling
Journal:  Ann Biomed Eng       Date:  2006-04-28       Impact factor: 3.934

9.  A comparison between a new model and current models for estimating trunk segment inertial parameters.

Authors:  Jason Wicke; Genevieve A Dumas; Patrick A Costigan
Journal:  J Biomech       Date:  2008-11-29       Impact factor: 2.712

10.  Evaluation of cross-sectional geometry and mass density distributions of humans and laboratory animals using computerized tomography.

Authors:  H K Huang; F R Suarez
Journal:  J Biomech       Date:  1983       Impact factor: 2.712

View more
  4 in total

1.  Segmental Musculoskeletal Examinations using Dual-Energy X-Ray Absorptiometry (DXA): Positioning and Analysis Considerations.

Authors:  Nicolas H Hart; Sophia Nimphius; Tania Spiteri; Jodie L Cochrane; Robert U Newton
Journal:  J Sports Sci Med       Date:  2015-08-11       Impact factor: 2.988

2.  Center of pressure based segment inertial parameters validation.

Authors:  Clint Hansen; Nasser Rezzoug; Philippe Gorce; Brice Isableu; Gentiane Venture
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

3.  Whole-body dual-energy X-ray absorptiometry demonstrates better reliability than segmental body composition analysis in college-aged students.

Authors:  Petr Kutáč; Václav Bunc; Martin Sigmund
Journal:  PLoS One       Date:  2019-04-22       Impact factor: 3.240

4.  Inertial biometry from commercial 3D body meshes.

Authors:  Alberto E Minetti; Luca Ruggiero
Journal:  Biol Open       Date:  2022-03-28       Impact factor: 2.422

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.