Abstract
Gait analysis goal is to investigate the mechanics of the muscle, the relationships between muscles and bones and the motions of joints. However, for a deeper analysis of the internal force acting on the human body research has focused on multi-body modeling and simulation. The aim is to integrate the elements of the musculoskeletal system and the joint mechanics in order to better understand what has been learned through in vivo and in vitro experiments. This chapter presents a general overview of musculoskeletal modeling and simulation in the clinical gait area.
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References
Shihab, A., & Moataz, E. (2011). Development and validation of a three-dimensional biomechanical model of the lower extremity. In V. Klika (Ed.), Theoretical biomechanics. ISBN: 978-953-307-851-9, InTech, DOI:10.5772/24156.
Erdemir, A., Scott M., Walter H., van den Bogert, A. J., et al. (2007). Model-based estimation of muscle forces exerted during movements. Clinical Biomechanics (Bristol, Avon), 22(2), 131–154.
Schwarze, M., Hurschler, C., Seehaus, F., Oehler, S., & Welke, B. (2013). Loads on the prosthesis-socket interface of above-knee amputees during normal gait: Validation of a multi-body simulation. Journal of Biomechanics, 46(6), 1201–1206.
Welke, B., Schwarze, M., Hurschler, C., Calliess, T., & Seehaus, F. (2013). Multi-body simulation of various falling scenarios for determining resulting loads at the prosthesis interface of transfemoral amputees with osseointegrated fixation. Journal of Orthopaedic Research, 31(7), 1123–1129.
Simon, S. R. (2004). Quantification of human motion: Gait analysis-benefits and limitations to its application to clinical problems. Journal of Biomechanics, 37(12), 1869–1880.
Hausdorff, J. M., Merit, E. C., Renée F., Jeanne Y. W., & Ary L. G. (1998). Gait variability and basal ganglia disorders: Stride-to-stride variations of gait cycle timing in parkinson’s disease and Huntington’s disease. Movement Disorders, 13(3), 428–437.
Hausdorff, J. M., Apinya, L., Merit, E. C., Amie, L. P., David, K., Ary, L. G., et al. (2000). Dynamic markers of altered gait rhythm in amyotrophic lateral sclerosis. Journal of Applied Physiology, 88(6), 2045–2053.
Hausdorff, J. M., Schaafsma, J. D., Balash, Y., Bartels, A. L., Gurevich, T., & Giladi, N. (2003). Impaired regulation of stride variability in Parkinson’s disease subjects with freezing of gait. Experimental Brain Research, 149(2), 187–194.
Bowen, J. D., & Gerry S. M. B. A. (2010). Gait Assessment. In The hip and pelvis in sports medicine and primary care (pp. 71–86). New York: Springer.
Klets, O., Riad, J. & Gutierrez-Farewik, E. M. (2010). Personalized musculoskeletal modeling of lower extremities based on magnetic resonance imaging data of 15 patients with hemiplegic cerebral palsy, IUTAM Symposium on human movement analysis and simulation, 2010 September 13th–15th, Belgium: Leuven.
Klets, O. (2011). Subject-specific musculoskeletal modeling of the lower extremities in persons with unilateral cerebral palsy. Licentiate dissertation. Stockholm: KTH Royal Institute of Technology.
Delp, S. L., & Loan, J. P. (1995). A graphics-based software system to develop and analyze models of musculoskeletal structures. Computers in Biology and Medicine, 25(1), 21–34.
Arnold, E. M., Samuel, R. W., Richard L. L., & Scott L. D, (2010). A model of the lower limb for analysis of human movement. Annals of Biomedical Engineering, 38(2), 269–279.
Delp, S. L., Loan, J. P., Melissa, G. H., Felix E. Z., Eric L. T., & Joseph M. R. (1990). An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures. IEEE Transactions on Biomedical Engineering, 37(8), 757–767.
Lenaerts, G., Ward, B., Frederik, G., Michiel, M., Arthur, S., Van der Perre, G., et al. (2009). Subject-specific hip geometry and hip joint centre location affects calculated contact forces at the hip during gait. Journal of Biomechanics, 42(9), 1246–1251.
Correa, T. A., Baker, R., & Pandy, M. G. (2011). Accuracy of generic musculoskeletal models in predicting the functional roles of muscles in human gait. Journal of Biomechanics, 44(11), 2096–2105.
Cuypers, R., Tang, Z., Luther, W., & Pauli, J. (2008). Efficient and accurate femur reconstruction using model-based segmentation and superquadric shapes. Proceedings of the Fourth IASTED International Conference, 619(007), 99.
Brunner, G., Nambi, V., Yang, E., Kumar, A., Virani, S. S., Kougias, P., et al. (2011). Automatic quantification of muscle volumes in magnetic resonance imaging scans of the lower extremities. Magnetic Resonance Imaging, 29(8), 1065–1075.
Schmid, J., Kim, J., & Magnenat-Thalmann, N. (2011). Extreme leg motion analysis of professional ballet dancers via MRI segmentation of multiple leg postures. International Journal of Computer Assisted Radiology and Surgery, 6(1), 47–57.
Schmid, J., Sandholm, A., Chung, F., Thalmann, D., Delingette, H., & Magnenat-Thalmann, N. (2009). Musculoskeletal simulation model generation from MRI data sets and motion capture data. In Recent advances in the 3D physiological human (pp. 3–19). Berlin: Springer.
Teran, J., Sifakis, E., Blemker, S. S., Ng-Thow-Hing, V., Lau, C., & Fedkiw, R. (2005). Creating and simulating skeletal muscle from the visible human data set. IEEE Transactions on Visualization and Computer Graphics, 11(3), 317–328.
Nikravesh, PE. (1998). Computer-aided analysis of mechanical systems, Prentice-Hall Inc, NJ: Englewood Cliff.
Seireg, A., & Arvikar, R. J. (1973). A mathematical model for evaluation of forces in lower extremeties of the musculo-skeletal system. Journal of Biomechanics, 6(3), 313–326.
Raikova, R. (1992). A general approach for modelling and mathematical investigation of the human upper limb. Journal of Biomechanics, 25(8), 857–867.
Jensen, R. H., & Davy, D. T. (1975). An investigation of muscle lines of action about the hip: a centroid line approach vs the straight line approach. Journal of Biomechanics, 8(2), 103–110.
Blemker, S. S., & Delp, S. L. (2005). Three-dimensional representation of complex muscle architectures and geometries. Annals of Biomedical Engineering, 33(5), 661–673.
Van der Helm, F. C., Veeger, H. E., Pronk, G. M., Van der Woude, L. H., & Rozendal, R. H. (1992). Geometry parameters for musculoskeletal modelling of the shoulder system. Journal of Biomechanics, 25(2), 129–144.
Arnold, A. S., Salinas, S., Asakawa, D. J., & Delp, S. L. (2000). Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity. Computer Aided Surgery, 5(2), 108–119.
Garner, B. A., & Pandy, M. G. (2000). The Obstacle-set method for representing muscle paths in musculoskeletal models. Computer Methods in Biomechanics and Biomedical Engineering, 3(1), 1–30. doi:10.1080/10255840008915251.
Lieber, R. L., & Fridén, J. (2000). Functional and clinical significance of skeletal muscle architecture. Muscle and Nerve, 23(11), 1647–1666.
Hill, A. V. (1938). The heat of shortening and the dynamic constants of muscle. Proceedings of the Royal Society, B126, 136–195.
Zajac, F. E. (1989). Muscle and tendon: Properties, models, scaling, and application to biomechanics and motor control. Critical Reviews in Biomedical Engineering, 17(4), 359.
Blemker, S. S., Asakawa, D. S., Gold, G. E., & Delp, S. L. (2007). Image-based musculoskeletal modeling: Applications, advances, and future opportunities. Journal of Magnetic Resonance Imaging, 25(2), 441–451.
Veeger, D. H. (2011). “What if”: The use of biomechanical models for understanding and treating upper extremity musculoskeletal disorders. Manual Therapy, 16(1), 48–50.
Stewart, C., & Shortland, A. P. (2010). The biomechanics of pathological gait-from muscle to movement. Acta of Bioengineering and Biomechanics, 12(3), 3–12.
Anderson, A. E., Ellis, B. J., & Weiss, J. A. (2007). Verification, validation and sensitivity studies in computational biomechanics. Computer Methods in Biomechanics and Biomedical Engineering, 10(3), 171–184.
Leardini, A., Chiari, L., Croce, U. D., Cappozzo, A., et al. (2005). Human movement analysis using stereophotogrammetry. Part 3. Soft tissue artifact assessment and compensation. Gait and Posture, 21(2), 212.
Lu, T. W., & O’connor, J. J. (1999). Bone position estimation from skin marker coordinates using global optimisation with joint constraints. Journal of biomechanics, 32(2), 129–134.
Högfors, C., Peterson, B., Sigholm, G., & Herberts, P. (1991). Biomechanical model of the human shoulder joint–II. The shoulder rhythm. Journal of Biomechanics, 24(8), 699–709.
Komistek, R. D., Kane, T. R., Mahfouz, M., Ochoa, J. A., & Dennis, D. A. (2005). Knee mechanics: A review of past and present techniques to determine in vivo loads. Journal of Biomechanics, 38, 215–228.
Anderst, W., Zauel, R., Bishop, J., Demps, E., & Tashman, S. (2009). Validation of three-dimensional model-based tiobio-femoral tracking during running. Medical Engineering and Physics, 31, 10–16.
Nester, C. J., et al. (2009). Lessons from dynamic cadaver and invasive bone pin studies: Do we know how the foot really moves during gait. Journal of Foot and Ankle Research, 2, 18.
Hurschler, C., Wülker, N., Windhagen, H., Hellmers, N., & Plumhoff, P. (2004). Evaluation of the lag sign tests for external rotator function of the shoulder. Journal of Shoulder and Elbow Surgery, 13(3), 298–304.
Elias, J. J., Kirkpatrick, M. S., Saranathan, A., Mani, S., Smith, L. G., & Tanaka, M. J. (2011). Hamstrings loading contributes to lateral patellofemoral malalignment and elevated cartilage pressures: An in vitro study. Clinical Biomechanics, 26(8), 841–846.
Wünschel, M., Leichtle, U., Obloh, C., Wülker, N., & Müller, O. (2011). The effect of different quadriceps loading patterns on tibiofemoral joint kinematics and patellofemoral contact pressure during simulated partial weight-bearing knee flexion. Knee Surgery, Sports Traumatology, Arthroscopy, 19(7), 1099–1106.
Wülker, N., Hurschler, C., & Emmerich, J. (2003). In vitro simulation of stance phase gait part II: Simulated anterior tibial tendon dysfunction and potential compensation. Foot and Ankle International, 24, 623–629.
Wünschel, M., Leichtle, U., Lo, J., Wülker, N., & Müller, O. (2012). Differences in tibiofemoral kinematics between the unloaded robotic passive path and a weightbearing knee simulator. Orthopedic Reviews, 4(1), e2. doi:10.4081/or.2012.e2.
Davoodi, Rahman, & Gerald, E. (2002). A software tool for faster development of complex models of musculoskeletal systems and sensorimotor controllers in simulinkTM. Journal of Applied Biomechanics, 18(4), 357–365.
Delp, S. L., Frank, C., Chand, T., & Darryl, G. (2007). OpenSim: Open-source software to create and analyze dynamic simulations of movement. IEEE Transactions on Biomedical Engineering, 54(11), 1940–1950.
Mansouri, M., & Reinbolt, J. A. (2012). A platform for dynamic simulation and control of movement based on OpenSim and MATLAB. Journal of Biomechanics, 45(8), 1517–1521.
Higginson, J. S., Zajac, F. E., Neptune, R. R., Kautz, S. A., & Delp, S. L. (2006). Muscle contributions to support during gait in an individual with post-stroke hemiparesis. Journal of Biomechanics, 39(10), 1769–1777.
Jonkers, I., Stewart, C., Desloovere, K., Molenaers, G., & Spaepen, A. (2006). Musculo-tendon length and lengthening velocity of rectus femoris in stiff knee gait. Gait and Posture, 23(2), 222–229.
Crabtree, C. A., & Jill, S. (2009). Modeling neuromuscular effects of ankle foot orthoses (AFOs) in computer simulations of gait. Gait and Posture, 29(1), 65–70.
Nair, P. M., Rooney, K. L. Kautz, S. A. Behrman, A. L. et al. (2010). Stepping with an ankle foot orthosis re-examined: A mechanical perspective for clinical decision making. Clinical Biomechanics (Bristol, Avon), 25(6), 618.
Sherman, M. A., & Seth, A. (2011). Simbody: Multibody dynamics for biomedical research. Procedia IUTAM, 2, 241–261.
Silverman, A. K., & Neptune, R. R. (2010). Individual muscle function in below Knee amputee walking. In Conference Proceedings of the Annual Meeting of the American Society, p. 166.
Fey, N. P., Klute, G. K., & Neptune, R. R. (2013). Altering prosthetic foot stiffness influences foot and muscle function during below-knee amputee walking: A modeling and simulation analysis. Journal of Biomechanics, 46(4), 637–644.
Worsley, P., Stokes, M., & Taylor, M. (2011). Predicted knee kinematics and kinetics during functional activities using motion capture and musculoskeletal modelling in healthy older people. Gait and Posture, 33(2), 268–273.
Michiel, O., Telfezr, S., Tørholm, S., Carbes, S., van Rhijn, L., Ross, M. et al. (2011). Generation of subject-specific, dynamic, multisegment ankle and foot models to improve orthotic design: A feasibility study. BMC Musculoskeletal Disorders, 12(1), 256.
Nolte, D., Andersen, M. S., Rasmussen, J., & Al-Munajjed, A. (2013). Development of a patient-specific musculoskeletal model of a healthy knee to analyze hard and soft tissue loading. In 21th Annual Symposium on Computational Methods in Orthoopeadic Biomechanics.
Alkjær, T., Wieland, M. R., Andersen, M. S., Simonsen, E. B., & John, R. (2012). Computational modeling of a forward lunge: Towards a better understanding of the function of the cruciate ligaments. Journal of Anatomy, 221(6), 590–597.
Ali, Nicholas, Michael Skipper Andersen, John Rasmussen, D Gordon E Robertson, and Gholamreza Rouhi. 2013. “The application of musculoskeletal modeling to investigate gender bias in non-contact ACL injury rate during single-leg landings”. Computer methods in biomechanics and biomedical engineering (ahead-of-print): 1–15.
Cao, E., Inoue, Y. Liu, T. & Shibata, K. (2012). Estimation of lower limb muscle forces during human sit-to-stand process with a rehabilitation training system. In 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 1016–1019.
Lemieux, P. O., Tétreault, P. Hagemeister, N. & Nuño, N. (2012). Influence of prosthetic humeral head size and medial offset on the mechanics of the shoulder with cuff tear arthropathy: A numerical study. Journal of Biomechanics, 46(3), 806–812.
Jackson, M., Sylvestre, É. Bleau, J. Allard, P & Begon, M. (2012). Estimating optimal shoulder immobilization postures following surgical repair of massive rotator cuff tears. Journal of Biomechanics, 46(1), 179–182.
Galibarov, P. E., Dendorfer, S., & Rasmussen, J. (2011). Two computational models of the lumbar spine: Comparison and validation. Long Beach, CA: ORS—Orthopaedic Research Society.
Han, K. S., Zander, T., Taylor, W. R., & Rohlmann, A. (2012). An enhanced and validated generic thoraco-lumbar spine model for prediction of muscle forces. Medical Engineering and Physics, 34(6), 709–716.
Ulrey, B. L., & Fathallah, F. A. (2012). Subject-specific, whole-body models of the stooped posture with a personal weight transfer device. Journal of Electromyography and Kinesiology.
Lundberg, H. J., Foucher, K. C., Andriacchi, T. P., & Wimmer, M. A. (2012). Direct comparison of measured and calculated total knee replacement force envelopes during walking in the presence of normal and abnormal gait patterns. Journal of Biomechanics, 45(6), 990–996.
Taddei, F., Martelli, S., Valente, G., Leardini, A., Benedetti, M, G., Manfrini, M., et al. (2012). Femoral loads during gait in a patient with massive skeletal reconstruction. Clinical Biomechanics, 27(3), 273–280.
Donnelly, C. J., & Lloyd, D. G. (2012). Optimizing whole-body kinematics to minimize valgus knee loading during sidestepping: Implications for ACL injury risk. Journal of Biomechanics, 45(8), 1491–1497.
Crossley, K. M, Dorn, T. W. Ozturk, H., van den Noort, J., Schache, A. G., & Pandy, M. G. (2012). Altered hip muscle forces during gait in people with patellofemoral osteoarthritis. steoarthritis and Cartilage.
Mansouri, M., Clark, A. E., & Reinbolt, J. A. (2012). The use of a platform for dynamic simulation of movement: Application to balance recovery. Proceedings of the American Society of Biomechanics, Gainesville, FL. Aug. 2012 (Available at: http://works.bepress.com/jeffrey_reinbolt/57).
Branemark, R., Branemark, P. I., Rydevik, B., & Myers, R. R. (2001). Osseointegration in skeletal reconstruction and rehabilitation: A review. Journal of rehabilitation research and development, 38(2), 175–182.
Brånemark, P. I. (1983). Osseointegration and its experimental background. The Journal of prosthetic dentistry, 50(3), 399–410.
Hagberg, K., Branemark, R., Guntorberg, B., et al. (2008). Osseointegrated trans-femoral amputation prostheses: Pro-spective results of general and condition-specific quality of life in 18 patients at 2-year follow-up. Prosthetics and Orthotics International, 32, 29–41.
Grundei, H., Von Stein, T., Schulte-Bockhof, D., Kausch, C., Gollwitzer, H., & Gradinger, R. (2009). Die Endo-Exo-Femurprothese—Update eines Versorgungskonzeptes zur Rehabilitation von Oberschenkelamputierten. Orthopädie-Technik, 12, 143–149.
Kadaba, M. P., Ramakrishnan, H. K., & Wootten, M. E. (1990). Measurement of lower extremity kinematics during level walking. Journal of Orthopaedic Research?: official publication of the Orthopaedic Research Society, 8(3), 383–92. doi:10.1002/jor.1100080310.
Vicon Plug-in Gait Product Guide–Foundation Notes Revision 2.0 March 2010 For use with Plug-in Gait Version 2.0 in Vicon Nexus, 2010.
Tomaszewski, P. K., Verdonschot, N., Bulstra, S. K., & Verkerke, G. J. (2010). A comparative finite-element analysis of bone failure and load transfer of osseointegrated prostheses fixations. Annals of Biomedical Engineering, 38(7), 2418–2427.
Acknowledgments
This study was funded by the German Federal Ministry of Education and Research (BMBF AZ: 01EZ0775). The authors like to thank TU Berlin and Otto Bock Healthcare GmbH, Duderstadt, Germany for cooperation in TExoPro and EU Marie Curie Actions-Marie Curie Research Training Networks/ Multi-scale Biological Modalities for Physiological Human articulation 289897 (FP7-PEOPLE-2011-ITN) for their funding
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Tecante, K. et al. (2014). Clinical Gait Analysis and Musculoskeletal Modeling. In: Magnenat-Thalmann, N., Ratib, O., Choi, H. (eds) 3D Multiscale Physiological Human. Springer, London. https://doi.org/10.1007/978-1-4471-6275-9_7
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