Literature DB >> 12689787

A simple method to determine body segment masses in vivo: reliability, accuracy and sensitivity analysis.

Todd C Pataky1, Vladimir M Zatsiorsky, John H Challis.   

Abstract

OBJECTIVE: To show that force plates can be used to quickly acquire subject-specific segment mass data.
DESIGN: In vivo measurements were performed on subjects belonging to three populations: female varsity swimmers, female varsity volleyball players, and male college students. Segmental masses were measured using a force plate technique, and were compared with published data.
BACKGROUND: Patients from populations for which data from the literature are not applicable (e.g. pathological, aging females, obese, children, etc.) would benefit from a direct measure of inertial parameters for accurate joint moment calculations.
METHODS: Eight female varsity volleyball players, 17 female varsity swimmers, and 10 male college students were measured anthropometrically. They then lay on a board placed on a force plate and the center of pressure was recorded while the subjects adopted various prescribed limb positions. Their limb masses were subsequently calculated from the center of pressure data given estimated center of mass locations.
RESULTS: The method was highly reproducible with an average reliability coefficient of 0.83 and yielded results similar to those of published methods. Significantly different mass distributions were found between the two female populations tested (P<0.025).
CONCLUSIONS: The method can quickly provide subject-specific limb segment mass information. RELEVANCE: Measuring subjects' segment masses individualizes clinical assessments and may be necessary for those from special populations to avoid erroneous biomechanical conclusions.

Entities:  

Mesh:

Year:  2003        PMID: 12689787     DOI: 10.1016/s0268-0033(03)00015-9

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  7 in total

1.  A predictive model to estimate knee-abduction moment: implications for development of a clinically applicable patellofemoral pain screening tool in female athletes.

Authors:  Gregory D Myer; Kevin R Ford; Kim D Barber Foss; Mitchell J Rauh; Mark V Paterno; Timothy E Hewett
Journal:  J Athl Train       Date:  2014-04-24       Impact factor: 2.860

2.  Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement.

Authors:  Jennifer L Hicks; Thomas K Uchida; Ajay Seth; Apoorva Rajagopal; Scott L Delp
Journal:  J Biomech Eng       Date:  2015-01-26       Impact factor: 2.097

3.  Estimating body segment parameters from three-dimensional human body scans.

Authors:  Pawel Kudzia; Erika Jackson; Genevieve Dumas
Journal:  PLoS One       Date:  2022-01-05       Impact factor: 3.240

4.  Determination of the center of mass in a heterogeneous population of dogs.

Authors:  Tiffany A Johnson; Wanda J Gordon-Evans; B Duncan X Lascelles; Michael G Conzemius
Journal:  PLoS One       Date:  2022-04-27       Impact factor: 3.752

5.  A low-cost three-dimensional laser surface scanning approach for defining body segment parameters.

Authors:  Petros Pandis; Anthony Mj Bull
Journal:  Proc Inst Mech Eng H       Date:  2017-08-17       Impact factor: 1.617

6.  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

7.  Whole body center of mass estimation with portable sensors: using the statically equivalent serial chain and a Kinect.

Authors:  Alejandro González; Mitsuhiro Hayashibe; Vincent Bonnet; Philippe Fraisse
Journal:  Sensors (Basel)       Date:  2014-09-11       Impact factor: 3.576

  7 in total

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