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Verfasst von:Ho Hoang, Khai-Long [VerfasserIn]   i
 Mombaur, Katja [VerfasserIn]   i
Titel:Adjustments to de Leva-anthropometric regression data for the changes in body proportions in elderly humans
Verf.angabe:Khai-Long Ho Hoang, Katja Mombaur
E-Jahr:2015
Jahr:24 August 2015
Umfang:5 S.
Fussnoten:Gesehen am 03.09.2020
Titel Quelle:Enthalten in: Journal of biomechanics
Ort Quelle:Amsterdam [u.a.] : Elsevier Science, 1968
Jahr Quelle:2015
Band/Heft Quelle:48(2015), 13, Seite 3732-3736
ISSN Quelle:1873-2380
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.
DOI:doi:10.1016/j.jbiomech.2015.08.018
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1016/j.jbiomech.2015.08.018
 Verlag: http://www.sciencedirect.com/science/article/pii/S0021929015004571
 DOI: https://doi.org/10.1016/j.jbiomech.2015.08.018
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Anthropometry
 Elderly subjects
 Segment inertia parameters
K10plus-PPN:1728792770
Verknüpfungen:→ Zeitschrift

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