Adjustments to de Leva-anthropometric regression data for the changes in body proportions in elderly humans

Journal of Biomechanics
Khai-Long Ho Hoang, Katja Mombaur

Abstract

Dynamic modeling of the human body is an important tool to investigate the fundamentals of the biomechanics of human movement. To model the human body in terms of a multi-body system, it is necessary to know the anthropometric parameters of the body segments. For young healthy subjects, several data sets exist that are widely used in the research community, e.g. the tables provided by de Leva. None such comprehensive anthropometric parameter sets exist for elderly people. It is, however, well known that body proportions change significantly during aging, e.g. due to degenerative effects in the spine, such that parameters for young people cannot be used for realistically simulating the dynamics of elderly people. In this study, regression equations are derived from the inertial parameters, center of mass positions, and body segment lengths provided by de Leva to be adjustable to the changes in proportion of the body parts of male and female humans due to aging. Additional adjustments are made to the reference points of the parameters for the upper body segments as they are chosen in a more practicable way in the context of creating a multi-body model in a chain structure with the pelvis representing the most proximal segment.

References

Jan 1, 1994·Journal of Biomechanics·R K Jensen, P Fletcher
Sep 1, 1996·Journal of Biomechanics·P de Leva
Sep 3, 2004·Clinical Biomechanics·Scott G McLeanAntonie J Van Den Bogert
Apr 18, 2006·Journal of Biomechanics·R DumasJ-P Verriest
Jan 4, 2012·Journal of the American Geriatrics Society·Klaus HauerPeter Oster

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Citations

Nov 16, 2019·Computer Methods in Biomechanics and Biomedical Engineering·Bertram TaetzGabriele Bleser
Jul 1, 2017·PloS One·Clint HansenGentiane Venture

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