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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 446-447A Subject-Specific Dynamics Model for Predicting...

A Subject-Specific Dynamics Model for Predicting Impact Force in Elderly Lateral Fall

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Abstract:

In the reported research, a subject-specific multibody dynamics model was proposed to predict impact force induced in lateral fall of the elderly. Parameters such as anthropometric dimensions, segment masses, mass center, and mass moment of inertia that are required for constructing the dynamics model were extracted or calculated from a whole body DXA image of the subject. Governing equations of the fall process were established and computer codes were developed for solving the equations. The dynamics model was then validated by a controlled fall test using young volunteer. Good agreements between predicted and experimental results were observed, indicating that the proposed dynamics model has the capability to predict subject-specific impact force induced in fall.

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Advanced Research in Material Science and Mechanical Engineering

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Periodical:

Applied Mechanics and Materials (Volumes 446-447)

Pages:

339-343

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.446-447.339

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Cite this paper

Online since:

November 2013

Authors:

Yun Hua Luo, Masoud Nasiri Sarvi, Pei Dong Sun, Jun Ouyang

Keywords:

Dual Energy X-Ray Absorptiometry (DXA), Fall, Hip Fracture, Impact Force, Multibody Dynamics Model, Osteoporosis

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[1] G. Carrière. Hip fracture outcomes in the household population. Health Reports, 18: Statistics Canada, catalogue 82–003, (2007).

[2] W. D. Leslie, S. O'Donnell, S. Jean, and et al. Trends in hip fracture rates in Canada. JAMA, 302: 883–9, (2009).

DOI: 10.1001/jama.2009.1231

[3] C. A. Brauer, M. Coca-Perraillon, D. M. Cutler, and A. B. Rosen. Incidence and Mortality of Hip Fractures in the United States. The Journal of the American Medical Association, 302: 1573–1579, (2009).

[4] D. K. Dhanwal, E. M. Dennison, N. C. Harvey, and C. Cooper. Epidemiology of hip fracture: Worldwide geographic variation. Indian J Orthop, 45: 15–22, (2011).

DOI: 10.4103/0019-5413.73656

[5] L. C. Brunner, L. Eshilian-Oates, and T. Y. Kuo. Hip fractures in adults. American Family Physician, 67: 537 – 542, (2003).

[6] P. Kannus, J. Parkkari, H. Sievänen, A. Heinonen, I. Vuori, and M. Järvinen. Epidemiology of hip fractures. Bone, 18: 57S, (1996).

DOI: 10.1016/8756-3282(95)00381-9

[7] R. Cumming and R. Klineberg. Fall frequency and characteristics and the risk of hip fractures. Journal of the American Geriatrics Society, 42: 774–778, (1994).

DOI: 10.1111/j.1532-5415.1994.tb06540.x

[8] D. Marshall, O. Johnell, and Wedel H. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ, 312: 1254–9, (1996).

DOI: 10.1136/bmj.312.7041.1254

[9] K. G. Faulkner, W. K. Wacker, H. S. Barden, and et al. Femur strength index predicts hip fracture independent of bone density and hip axis length. OsteoporosInt, 17: 593–9, (2006).

DOI: 10.1007/s00198-005-0019-4

[10] J. H. Keyak, T. S. Kaneko, and etal. Predicting proximal femoral strength using structural engineering models. ClinOrthopRelat Res, 437: 219–228, (2005).

DOI: 10.1097/01.blo.0000164400.37905.22

[11] Y. Luo, Z. Ferdous, and W. D. Leslie. A preliminary dual-energy X-ray absorptiometry-based finite element model for assessing osteoporotic hip fracture risk. Journal of Engineering in Medicine, 225: 1188–1195, (2011).

DOI: 10.1177/0954411911424975

[12] A. J. Van den Kroonenberg, W. C. Hayes, and T. A. McMahon. Hip impact velocities and body configurations for voluntary falls from standing height. Journal of Biomechanics, 29: 807–811, (1996).

DOI: 10.1016/0021-9290(95)00134-4

[13] B. E. Groen, V. Weerdesteyn, and J. Duysens. The relation between hip impact velocity and hip impact force differs between sideways fall techniques. Journal of Electromyography and Kinesiology, 18: 228–234, (2008).

DOI: 10.1016/j.jelekin.2007.06.002

[14] A. J. Van den Kroonenberg, W. C. Hayes, and T.A. McMahon. Dynamic models for sideways falls from standing height. Journal of Biomechanical Engineering, 117: 309–318, (1995).

DOI: 10.1115/1.2794186

[15] M. Nankaku, H. Kanzaki, T. Tsuboyama, and Nakamura T. Evaluation of hip fracture risk in relation to fall direction. Osteoporos Int., 16: 1315–1320, (2005).

DOI: 10.1007/s00198-005-1843-2

[16] M. NasiriSarvi and Y. Luo. Estimation of body segment masses using whole-body DXA image. In Proceedings of CANCAM-2013, Saskatoon, Saskatchewan, Canada, June 2-6, (2013).