Kinetics assessment of the human head-arms-trunk (HAT) complex via a multisegment model is a useful tool for objective clinical evaluation of several pathological conditions. Inaccuracies in body segment parameters (BSPs) are a major source of uncertainty in the estimation of the joint moments associated with the multisegment HAT. Given the large intersubject variability, there is currently no comprehensive database for the estimation of BSPs for the HAT. We propose a nonlinear, multistep, optimization-based, noninvasive method for estimating individual-specific BSPs and calculating joint moments in a multisegment HAT model. Eleven nondisabled individuals participated in a trunk-bending experiment and their body motion was recorded using cameras and a force plate. A seven-segment model of the HAT was reconstructed for each participant. An initial guess of the BSPs was obtained by individual-specific scaling of the BSPs calculated from the male visible human (MVH) images. The intersegmental moments were calculated using both bottom-up and top-down inverse dynamics approaches. Our proposed method adjusted the scaled BSPs and center of pressure (COP) offsets to estimate optimal individual-specific BSPs that minimize the difference between the moments obtained by top-down and bottom-up inverse dynamics approaches. Our results indicate that the proposed method reduced the error in the net joint moment estimation (defined as the difference between the net joint moment calculated via bottom-up and top-down approaches) by 79.3% (median among participants). Our proposed method enables an optimized estimation of individual-specific BSPs and, consequently, a less erroneous assessment of the three-dimensional (3D) kinetics of a multisegment HAT model.
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October 2018
Research-Article
Optimal Estimation of Anthropometric Parameters for Quantifying Multisegment Trunk Kinetics
Alireza Noamani,
Alireza Noamani
Department of Mechanical Engineering,
University of Alberta,
Edmonton T6G 1H9, AB, Canada
e-mail: noamani@ualberta.ca
University of Alberta,
Edmonton T6G 1H9, AB, Canada
e-mail: noamani@ualberta.ca
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Albert H. Vette,
Albert H. Vette
Department of Mechanical Engineering,
University of Alberta,
Edmonton T6G 1H9, AB, Canada;
University of Alberta,
Edmonton T6G 1H9, AB, Canada;
Glenrose Rehabilitation Hospital,
Alberta Health Services,
Edmonton T5G 0B7, AB, Canada
e-mail: vette@ualberta.ca
Alberta Health Services,
10230 111 Avenue NW
,Edmonton T5G 0B7, AB, Canada
e-mail: vette@ualberta.ca
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Richard Preuss,
Richard Preuss
School of Physical & Occupational Therapy,
McGill University,
Montreal H3G 1Y5, QC, Canada
e-mail: richard.preuss@mcgill.ca
McGill University,
Montreal H3G 1Y5, QC, Canada
e-mail: richard.preuss@mcgill.ca
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Milos R. Popovic,
Milos R. Popovic
Rehabilitation Engineering Laboratory,
Lyndhurst Centre,
Toronto Rehabilitation Institute–University
Health Network,
Toronto M4G 3V9, ON, Canada;
Lyndhurst Centre,
Toronto Rehabilitation Institute–University
Health Network,
Toronto M4G 3V9, ON, Canada;
Institute of Biomaterials and
Biomedical Engineering,
University of Toronto,
Toronto M5S 3G9, ON, Canada
e-mail: milos.popovic@utoronto.ca
Biomedical Engineering,
University of Toronto,
Toronto M5S 3G9, ON, Canada
e-mail: milos.popovic@utoronto.ca
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Hossein Rouhani
Hossein Rouhani
Department of Mechanical Engineering,
University of Alberta,
Edmonton T6G 1H9, AB, Canada
e-mail: hrouhani@ualberta.ca
University of Alberta,
Edmonton T6G 1H9, AB, Canada
e-mail: hrouhani@ualberta.ca
Search for other works by this author on:
Alireza Noamani
Department of Mechanical Engineering,
University of Alberta,
Edmonton T6G 1H9, AB, Canada
e-mail: noamani@ualberta.ca
University of Alberta,
Edmonton T6G 1H9, AB, Canada
e-mail: noamani@ualberta.ca
Albert H. Vette
Department of Mechanical Engineering,
University of Alberta,
Edmonton T6G 1H9, AB, Canada;
University of Alberta,
Edmonton T6G 1H9, AB, Canada;
Glenrose Rehabilitation Hospital,
Alberta Health Services,
Edmonton T5G 0B7, AB, Canada
e-mail: vette@ualberta.ca
Alberta Health Services,
10230 111 Avenue NW
,Edmonton T5G 0B7, AB, Canada
e-mail: vette@ualberta.ca
Richard Preuss
School of Physical & Occupational Therapy,
McGill University,
Montreal H3G 1Y5, QC, Canada
e-mail: richard.preuss@mcgill.ca
McGill University,
Montreal H3G 1Y5, QC, Canada
e-mail: richard.preuss@mcgill.ca
Milos R. Popovic
Rehabilitation Engineering Laboratory,
Lyndhurst Centre,
Toronto Rehabilitation Institute–University
Health Network,
Toronto M4G 3V9, ON, Canada;
Lyndhurst Centre,
Toronto Rehabilitation Institute–University
Health Network,
Toronto M4G 3V9, ON, Canada;
Institute of Biomaterials and
Biomedical Engineering,
University of Toronto,
Toronto M5S 3G9, ON, Canada
e-mail: milos.popovic@utoronto.ca
Biomedical Engineering,
University of Toronto,
Toronto M5S 3G9, ON, Canada
e-mail: milos.popovic@utoronto.ca
Hossein Rouhani
Department of Mechanical Engineering,
University of Alberta,
Edmonton T6G 1H9, AB, Canada
e-mail: hrouhani@ualberta.ca
University of Alberta,
Edmonton T6G 1H9, AB, Canada
e-mail: hrouhani@ualberta.ca
1Corresponding author.
Manuscript received August 8, 2017; final manuscript received May 6, 2018; published online June 21, 2018. Assoc. Editor: Joel D Stitzel.
J Biomech Eng. Oct 2018, 140(10): 101003 (10 pages)
Published Online: June 21, 2018
Article history
Received:
August 8, 2017
Revised:
May 6, 2018
Citation
Noamani, A., Vette, A. H., Preuss, R., Popovic, M. R., and Rouhani, H. (June 21, 2018). "Optimal Estimation of Anthropometric Parameters for Quantifying Multisegment Trunk Kinetics." ASME. J Biomech Eng. October 2018; 140(10): 101003. https://doi.org/10.1115/1.4040247
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