Technical Brief

Modeling Wheelchair-Users Undergoing Vibrations

[+] Author and Article Information
Korkut Brown

Department of Aerospace and Mechanical Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: korkutbr@alumni.usc.edu

Henryk Flashner

Department of Aerospace and Mechanical Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: hflashne@usc.edu

Jill McNitt-Gray

Biological Sciences and Biomedical Engineering,
University of Southern California,
Los Angeles, CA 90089
e-mail: mcnitt@usc.edu

Philip Requejo

Rehabilitation Engineering,
Rancho Los Amigos National Rehabilitation Center,
Downey, CA 90242
e-mail: requejo@usc.edu

Manuscript received November 21, 2016; final manuscript received June 20, 2017; published online July 20, 2017. Assoc. Editor: David Corr.

J Biomech Eng 139(9), 094501 (Jul 20, 2017) (7 pages) Paper No: BIO-16-1474; doi: 10.1115/1.4037220 History: Received November 21, 2016; Revised June 20, 2017

A procedure for modeling wheelchair-users undergoing vibrations was developed. Experimental data acquired with a wheelchair simulator were used to develop a model of a seated wheelchair user. Maximum likelihood estimation procedure was used to determine the model complexity required to characterize wheelchair-user's response. It was determined that a two segment rotational link model is adequate for characterization of vibratory response. The parameters of the proposed model were identified using the experimental data and verified using additional experimental results. The proposed approach can be used to develop subject-specific design criteria for wheelchair seating and suspension.

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Grahic Jump Location
Fig. 1

The two ST model and the corresponding translational and rotational portions of the modeled wheelchair-user

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Fig. 2

An example of the span of the data set that was emphasized by weights 1 (shaded in gray) in the system identification procedure (a) C6 (b) and T7 (c) subject's experimental data, and identified second and fourth-order TF simulations

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Fig. 3

Experimental data at medium (35 rpm) and fast (40 rpm) drum rotation speeds, and identified fourth-order TF simulations for subjects C6 (a) and (b) and T7 (c) and (d). The TFs were identified using the 30 rpm drum rotation trials and simulated using the medium and fast drum rotation trial input forces.

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Fig. 4

The three anatomical configurations of the two-ST model

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Fig. 5

Rotational stiffness and damping coefficient solutions of the two-ST model for the C6 and T7 subjects

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Fig. 6

The response of the two ST model using the computed rotational stiffness and damping coefficients for the C6 (a) and T7 (b) subjects



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