Computational modeling and simulation of closed chain arm-robot multibody dynamic systems in OpenSim
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Published:2022-11-07
Issue:4
Volume:56
Page:313-334
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ISSN:1384-5640
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Container-title:Multibody System Dynamics
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language:en
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Short-container-title:Multibody Syst Dyn
Author:
Green Matthew, Hong Yoon No Gregory, Roh Jinsook, Fregly Benjamin J.ORCID
Abstract
AbstractRehabilitation robot efficacy for restoring upper extremity function post-stroke could potentially be improved if robot control algorithms accounted for patient-specific neural control deficiencies. As a first step toward the development of such control algorithms using model-based methods, this study provides general guidelines for creating and simulating closed chain arm-robot models in the OpenSim environment, along with a specific example involving a three-dimensional arm moving within a two degree-of-freedom upper extremity rehabilitation robot. The closed chain arm-robot model developed in OpenSim was evaluated using experimental robot motion and torque data collected from a single healthy subject under four conditions: 1) active robot alone, 2) active robot with passive arm, 3) passive robot with active arm, and 4) active robot with active arm. Computational verification of the combined model was performed for all four conditions, whereas experimental validation was performed for only the first two conditions since torque measurements were not available for the arm. For the four verification problems, forward dynamic simulations reproduced experimentally measured robot joint angles with average root-mean-square (RMS) errors of less than 0.3 degrees and correlation coefficients of 1.00. For the two validation problems, inverse dynamic simulations reproduced experimentally measured robot motor torques with average RMS errors less than or equal to 0.5 Nm and correlation coefficients between 0.92 and 0.99. If patient-specific muscle–tendon and neural control models can be successfully added in the future, the coupled arm-robot OpenSim model may provide a useful testbed for designing patient-specific robot control algorithms that facilitate recovery of upper extremity function post-stroke.
Funder
U.S. Air Force Rice University
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Modeling and Simulation
Reference32 articles.
1. Feigin, V.L., Nquyen, G., Cercy, K.: Global, regional, and country-specific lifetime risks of stroke, 1990 and 2016. N. Engl. J. Med. 379, 2429–2437 (2018). https://doi.org/10.1056/NEJMoa1804492 2. Cramer, S.C., Nelles, G., Benson, R.R., Kaplan, J.D., Parker, R.A., Kwong, K.K., Kennedy, D.N., Finklestein, S.P., Rosen, B.R.: A functional MRI study of subjects recovered from hemiparetic stroke. Stroke 28, 2518–2527 (1997). https://doi.org/10.1161/01.str.28.12.2518 3. Kantak, S.S., Zahedi, N., McGrath, R.: Complex skill training transfers to improved performance and control of simpler tasks after stroke. Phys. Ther. 97, 718–728 (2017). https://doi.org/10.1093/ptj/pzx042 4. Kelly-Hayes, M., Beiser, A., Kase, C.S., Scaramucci, A., D’Agostino, R.B., Wolf, P.A.: The influence of gender and age on disability following ischemic stroke: the Framingham study. J. Stroke Cerebrovasc. Dis. 12, 119–126 (2003). https://doi.org/10.1016/S1052-3057(03)00042-9 5. Go, A.S., Mozaffarian, D., Roger, V.L., Benjamin, E.J., Berry, J.D., Borden, W.B., Bravata, D.M., Dai, S., Ford, E.S., Fox, C.S., Franco, S., Fullerton, H.J., Gillespie, C., Hailpern, S.M., Heit, J.A., Howard, V.J., Huffman, M.D., Kissela, B.M., Kittner, S.J., Lackland, D.T., Lichtman, J.H., Lisabeth, L.D., Magid, D., Marcus, G.M., Marelli, A., Matchar, D.B., McGuire, D.K., Mohler, E.R., Moy, C.S., Mussolino, M.E., Nichol, G., Paynter, N.P., Schreiner, P.J., Sorlie, P.D., Stein, J., Turan, T.N., Virani, S.S., Wong, N.D., Woo, D., Turner, M.B.: Heart disease and stroke statistics—2013 update. Circulation 127, e6–e245 (2013). https://doi.org/10.1161/CIR.0b013e31828124ad
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