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A NEW METHOD FOR PASSIVE ANKLE FOOT ORTHOSIS DESIGN – INTEGRATION OF MUSCULOSKELETAL AND FINITE ELEMENT SIMULATION

Published online by Cambridge University Press:  19 June 2023

David Scherb ,
Patrick Steck ,
Harald Völkl ,
Sandro Wartzack  and
Jörg Miehling
David Scherb*
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg
Patrick Steck
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg
Harald Völkl
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg
Sandro Wartzack
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg
Jörg Miehling
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg
*
Scherb, David, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, [email protected]

Abstract

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Motor disorders are diseases affecting the muscle function of the human body. A frequently occurring motor disorder affects the lower leg muscles resulting in a pathological gait called foot drop. Patients have a higher risk of stumbling and falling. The most common treatment is the use of a passive ankle-foot-orthosis (AFO). However, the compensation of foot drop is only limited due to the non possible support of all rotational directions of the ankle joint. Therefore, a newly developed concept for a passive AFO is currently in work. To ensure a best possible treatment of the patient, the provided support by the AFO and required support by the patient have to be in accordance. Thus, in this contribution a method is presented that integrates model order reduced finite element analysis for computing the provided support of the AFO and musculoskeletal human models for representing the patients' gait behaviour. With the method, the design of the force generating structures of the AFO can be realized regarding the patients' requirements. The presented method is further evaluated with a specific use case. The main focus lies here in the principal functionality of the method and the provision of valid results.

Keywords

User centred designDesign methodsProduct modelling / modelsOrthosisMusculoskeletal human model
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 333 - 342
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

References

Afschrift, M., Groote, F. de, Schutter, J. de and Jonkers, I. (2014), “The effect of muscle weakness on the capability gap during gross motor function: a simulation study supporting design criteria for exoskeletons of the lower limb”, Biomedical engineering online, Vol. 13, p. 111.CrossRefGoogle ScholarPubMed
Arch, E.S., Stanhope, S.J. and Higginson, J.S. (2016), “Passive-dynamic ankle-foot orthosis replicates soleus but not gastrocnemius muscle function during stance in gait: Insights for orthosis prescription”, Prosthetics and orthotics international, Vol. 40 No. 5, pp. 606–616.CrossRefGoogle Scholar
Arras, M. and Coppotelli, G. (2015), “Finite-Element Structural Updating Using Frequency Response Functions”, Journal of Aircraft, Vol. 52 No. 5, pp. 1454–1468.CrossRefGoogle Scholar
Blaya, J.A. and Herr, H. (2004), “Adaptive control of a variable-impedance ankle-foot orthosis to assist drop-foot gait”, IEEE transactions on neural systems and rehabilitation engineering a publication of the IEEE Engineering in Medicine and Biology Society, Vol. 12 No. 1, pp. 24–31.Google ScholarPubMed
Carberry, J., Hinchly, G., Buckerfield, J., Tayler, E., Burton, T., Madgwick, S. and Vaidyanathan, R. (2011), “Parametric design of an active ankle foot orthosis with passive compliance”, in 2011 24th International Symposium on Computer-Based Medical Systems (CBMS), 6/27/2011 - 6/30/2011, Bristol, United Kingdom, IEEE / Institute of Electrical and Electronics Engineers Incorporated, pp. 1–6.CrossRefGoogle Scholar
Chu, T.M., Reddy, N.P. and Padovan, J. (1995), “Three-dimensional finite element stress analysis ofthe polypropylene, ankle-foot orthosis: static analysis”, Medical engineering & physics, Vol. 17 No. 5, pp. 372–379.CrossRefGoogle Scholar
Collins, S.H., Wiggin, M.B. and Sawicki, G.S. (2015), “Reducing the energy cost of human walking using an unpowered exoskeleton”, Nature, Vol. 522 No. 7555, pp. 212–215.CrossRefGoogle ScholarPubMed
Craig, R.R. and Bampton, M.C. (1968), “Coupling of substructures for dynamic analyses”, AIAA Journal, Vol. 6 No. 7, pp. 1313–1319.CrossRefGoogle Scholar
Deberg, L., Taheri Andani, M., Hosseinipour, M. and Elahinia, M. (2014), “An SMA Passive AnkleFoot Orthosis: Design, Modeling, and Experimental Evaluation”, Smart Materials Research, Vol. 2014, pp. 1–11.CrossRefGoogle Scholar
Delp, S.L., Anderson, F.C., Arnold, A.S., Loan, P., Habib, A., John, C.T., Guendelman, E. and Thelen, D.G. (2007), “OpenSim: open-source software to create and analyze dynamic simulations of movement”, IEEE transactions on bio-medical engineering, Vol. 54 No. 11, pp. 1940–1950.CrossRefGoogle ScholarPubMed
Ferrati, F., Bortoletto, R. and Pagello, E. (2013), “Virtual Modelling of a Real Exoskeleton Constrained to a Human Musculoskeletal Model”, in Hutchison, D., et al. (Eds.), Biomimetic and Biohybrid Systems, Lecture Notes in Computer Science, Vol. 8064, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 96–107.CrossRefGoogle Scholar
Fritzsche, L., Galibarov, P.E., Gärtner, C., Bornmann, J., Damsgaard, M., Wall, R., Schirrmeister, B., Gonzalez-Vargas, J., Pucci, D., Maurice, P., Ivaldi, S. and Babič, J. (2021), “Assessing the efficiency of exoskeletons in physical strain reduction by biomechanical simulation with AnyBody Modeling System”, Wearable Technologies, Vol. 2.CrossRefGoogle ScholarPubMed
Jackson, R.W. and Collins, S.H. (2015), “An experimental comparison of the relative benefits of work and torque assistance in ankle exoskeletons”, Journal of applied physiology (Bethesda, Md. 1985), Vol. 119 No. 5, pp. 541–557.CrossRefGoogle ScholarPubMed
Jamshidi, N., Hanife, H., Rostami, M., Najarian, S., Menhaj, M.B., Saadatnia, M. and Salami, F. (2010), “Modelling the interaction of ankle-foot orthosis and foot by finite element methods to design an optimized sole in steppage gait”, Journal of medical engineering & technology, Vol. 34 No. 2, pp. 116–123.CrossRefGoogle ScholarPubMed
Kluding, P.M., Dunning, K., O'Dell, M.W., Wu, S.S., Ginosian, J., Feld, J. and McBride, K. (2013), “Foot drop stimulation versus ankle foot orthosis after stroke: 30-week outcomes”, Stroke, Vol. 44 No. 6, pp. 1660–1669.CrossRefGoogle ScholarPubMed
Linnenberg, C. and Weidner, R. (2022), “Industrial exoskeletons for overhead work: Circumferential pressures on the upper arm caused by the physical human-machine-interface”, Applied ergonomics, Vol. 101, p. 103706.CrossRefGoogle ScholarPubMed
Lund, M.E., Andersen, M.S., Zee, M. de and Rasmussen, J. (2015), “Scaling of musculoskeletal models from static and dynamic trials”, International Biomechanics, Vol. 2 No. 1, pp. 1–11.CrossRefGoogle Scholar
Miehling, J. (2019), “Musculoskeletal modeling of user groups for virtual product and process development”, Computer methods in biomechanics and biomedical engineering, Vol. 22 No. 15, pp. 1209–1218.CrossRefGoogle ScholarPubMed
Mills, K., Blanch, P. and Vicenzino, B. (2012), “Comfort and midfoot mobility rather than orthosis hardness or contouring influence their immediate effects on lower limb function in patients with anterior knee pain”, Clinical biomechanics (Bristol, Avon), Vol. 27 No. 2, pp. 202–208.CrossRefGoogle ScholarPubMed
Molz, C., Yao, Z., Sänger, J., Gwosch, T., Weidner, R., Matthiesen, S., Wartzack, S. and Miehling, J. (2022), “A Musculoskeletal Human Model-Based Approach for Evaluating Support Concepts of Exoskeletons for Selected Use Cases”, Proceedings of the Design Society, Vol. 2, pp. 515–524.CrossRefGoogle Scholar
Neptune, R.R., Kautz, S.A. and Zajac, F.E. (2001), “Contributions of the individual ankle plantar flexors to support, forward progression and swing initiation during walking”, Journal of Biomechanics, Vol. 34 No. 11, pp. 1387–1398.CrossRefGoogle ScholarPubMed
Esposito, Russell, Schmidtbauer, E., and Wilken, K.A., J.M. (2018), “Experimental comparisons of passive and powered ankle-foot orthoses in individuals with limb reconstruction”, Journal of neuroengineering and rehabilitation, Vol. 15 No. 1, p. 111.CrossRefGoogle Scholar
Sawicki, G.S. and Ferris, D.P. (2009), “A pneumatically powered knee-ankle-foot orthosis (KAFO) with myoelectric activation and inhibition”, Journal of neuroengineering and rehabilitation, Vol. 6, p. 23.CrossRefGoogle ScholarPubMed
Scherb, D., Fleischmann, C., Sesselmann, S., Miehling, J. and Wartzack, S. (2022a), “Evidence for the Applicability of Musculoskeletal Human Models to Improve Outcomes of Total Hip Arthroplasty”, in Tavares, J.M.R.S. et al. (Eds.), Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II, Lecture Notes in Computational Vision and Biomechanics, Vol. 38, Springer International Publishing, Cham, pp. 194–207.Google Scholar
Scherb, D., Steck, P., Wartzack, S. and Miehling, J. (2022b), “Integration of musculoskeletal and model order reduced FE simulation for passive ankle foot orthosis design”, Presented at 27th Congress of the European Society of Biomechanics, Porto.Google Scholar
Scherb, D., Wartzack, S. and Miehling, J. (2023), “Modelling the interaction between wearable assistive devices and digital human models-A systematic review”, Frontiers in bioengineering and biotechnology, Vol. 10, p. 1044275.CrossRefGoogle ScholarPubMed
Shorter, K.A., Kogler, G.F., Loth, E., Durfee, W.K. and Hsiao-Wecksler, E.T. (2011), “A portable powered ankle-foot orthosis for rehabilitation”, Journal of rehabilitation research and development, Vol. 48 No. 4, pp. 459–472.CrossRefGoogle ScholarPubMed
Steck, P., Scherb, D., Miehling, J., Völkl, H. and Wartzack, S. (22 and 2022), “Synthesis of passive lightweight orthoses considering humanmachine interaction”, in DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022), 22 and 23 September 2022, The Design Society, p. 10.CrossRefGoogle Scholar
Stewart, J.D. (2008), “Foot drop: where, why and what to do?”, Practical neurology, Vol. 8 No. 3, pp. 158–169.CrossRefGoogle ScholarPubMed
Yamamoto, M., Shimatani, K., Hasegawa, M. and Kurita, Y. (2019), “Effect of an ankle–foot orthosis on gait kinematics and kinetics: case study of post-stroke gait using a musculoskeletal model and an orthosis model”, ROBOMECH Journal, Vol. 6 No. 1.CrossRefGoogle Scholar
Yamamoto, S., Hagiwara, A., Mizobe, T., Yokoyama, O. and Yasui, T. (2005), “Development of an ankle-foot orthosis with an oil damper”, Prosthetics and orthotics international, Vol. 29 No. 3, pp. 209–219.CrossRefGoogle ScholarPubMed
Younger, D.S. (1999), Motor disorders, Lippincott Williams & Wilkins, Philadelphia.Google Scholar