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Journal of Bionic Engineering

, Volume 11, Issue 2, pp 159–175 | Cite as

Biomechanics of Musculoskeletal System and Its Biomimetic Implications: A Review

Article

Abstract

Biological musculoskeletal system (MSK), composed of numerous bones, cartilages, skeletal muscles, tendons, ligaments etc., provides form, support, movement and stability for human or animal body. As the result of million years of selection and evolution, the biological MSK evolves to be a nearly perfect mechanical mechanism to support and transport the human or animal body, and would provide enormously rich resources to inspire engineers to innovate new technology and methodology to develop robots and mechanisms as effective and economical as the biological systems. This paper provides a general review of the current status of musculoskeletal biomechanics studies using both experimental and computational methods. This includes the use of the latest three-dimensional motion analysis systems, various medical imaging modalities, and also the advanced rigid-body and continuum mechanics musculoskeletal modelling techniques. Afterwards, several representative biomimetic studies based on ideas and concepts inspired from the structures and biomechanical functions of the biological MSK are discussed. Finally, the major challenges and also the future research directions in musculoskeletal biomechanics and its biomimetic studies are proposed.

Keywords

musculoskeletal system biomechanics multi-scale biomimetics biologically inspired robots and mechanisms 

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References

  1. [1]
    van De Graaff K M, Strete D, Creek C H. Human Anatomy, 6th ed, McGraw Hill Higher Education, USA, 2001.Google Scholar
  2. [2]
    Nordin M, Frankel V H. Basic Biomechanics of Muscu-loskeletal System, 3rd ed, Lippincott Williams & Wilkins, Baltimore, USA, 2001.Google Scholar
  3. [3]
    Sharp N. Timed running speed of a cheetah (Acinonyx jubatus). Journal of Zoology, 1997, 241, 493–494.CrossRefGoogle Scholar
  4. [4]
    Hudson P E, Corr S A, Payne-Davis R C, Clancy S N, Lane E, Wilson A M. Functional anatomy of the cheetah (Acinoyx jubatus) hindlimb. Journal of Anatomy, 2011, 218, 363–374.CrossRefGoogle Scholar
  5. [5]
    Götzen N, Cross A R, Ifju P G, Rapoff A J. Understanding stress concentration about a nutrient foramen. Journal of Biomechanics, 2003, 36, 1511–1521.CrossRefGoogle Scholar
  6. [6]
    Ker R F, Bennett M B, Bibby S R, Kester R C, Alexander R M. The spring in the arch of the human foot. Nature, 1987, 325, 147–149.CrossRefGoogle Scholar
  7. [7]
    Carrier D R, Heglund N C, Earls K D. Variable gearing during locomotion in the human musculoskeletal system. Science, 1994, 265, 651–653.CrossRefGoogle Scholar
  8. [8]
    Ren L, Howard D, Ren L Q, Nester C, Tian L M. A phase dependent Hypothesis for locomotor functions of human foot complex. Journal of Bionic Engineering, 2008, 5, 175–180.CrossRefGoogle Scholar
  9. [9]
    Pfeiffer F, Inoue H. Walking: Technology and biology. Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences, 2007, 365, 3–9.CrossRefGoogle Scholar
  10. [10]
    Dillmann R, Albiez J, Gassmann B, Kerscher T, Zöllner M. Biologically inspired walking machines: Design, control and perception. Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences, 2007, 365, 133–151.MathSciNetCrossRefGoogle Scholar
  11. [11]
    Hirose M, Ogawa K. Honda humanoid robots development. Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Science, 2007, 365, 11–19.CrossRefGoogle Scholar
  12. [12]
    Kimura H, Fukuoka Y, Cohen A H. Biologically inspired adaptive walking of a quadruped robot. Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences, 2007, 365, 153–170.CrossRefGoogle Scholar
  13. [13]
    Lim H O, Takanishi A. Biped walking robots created at Waseda University: WL and WABIAN family. Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences, 2007, 365, 49–64.CrossRefGoogle Scholar
  14. [14]
    Ren L, Butler M, Miller C, Schwerda D, Fischer MS, Hutchinson JR. The limb segment and joint kinematics of Asian (Elephas maximus) and African (Loxodonta africana) elephants. Journal of Experimental Biology, 2008, 211, 2735–2751.CrossRefGoogle Scholar
  15. [15]
    Ren L, Miller C, Lair R, Hutchinson J R. Integration of biomechanical compliance, leverage, and power in elephant limbs. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2010, 107, 7078–7082.CrossRefGoogle Scholar
  16. [16]
    Cappozzo A, Della Croce U, Leardini A. Chiarid L. Human movement analysis using stereophotogrammetry - Part 1: Theoretical background. Gait and Posture, 2005, 21, 186–196.Google Scholar
  17. [17]
    Ren L, Jones R K, Howard D. Whole body inverse dynamics over a complete gait cycle based only on measured kinematics. Journal of Biomechanics, 2008, 41, 2750–2759.CrossRefGoogle Scholar
  18. [18]
    Arndt A, Wolf P, Liu A, Nester C, Stacoff A, Jones R, Lundgren P, Lundberg A. Intrinsic foot kinematics measured in vivo during the stance phase of slow running. Journal of Biomechanics, 2007, 40, 2672–2678.CrossRefGoogle Scholar
  19. [19]
    Cappozzo A. Gait analysis methodology. Human Movement Science, 1984, 3, 27–54.CrossRefGoogle Scholar
  20. [20]
    Allard P, Blanchi J P, Aissaoui R. Base of three-dimensional reconstruction. In: Allard P, Stokes I A F, Blanchi J P (eds). Three-Dimensional Analysis of Human Movement, Human Kinetics, Champaign, IL, USA, 1995, 19–40.Google Scholar
  21. [21]
    Kadaba M P, Ramakrishnan H K, Wootten M E. Measurement of lower extremity kinematics during level walking. Journal of Orthopaedic Research, 1990, 8, 383–392.CrossRefGoogle Scholar
  22. [22]
    Pedotti A, Ferrigno G. Optoelectronic-based system. In: Allard P, Stokes I A F, Blanchi J P (eds). Three-Dimensional Analysis of Human Movement, Human Kinetics, Champaign, IL, USA, 1995, 57–77.Google Scholar
  23. [23]
    Cappozzo A, Catani F, Leardini M, Benedetti G, Della Croce U. Position and orientation in space of bones during movement: Experimental artifacts. Clinical Biomechanics, 1996, 11, 90–100.CrossRefGoogle Scholar
  24. [24]
    Fulle J, Liu J, Murphy M C, Mann R W. A comparison of lowerextremity skeletal kinematics measured using skin-and pin-mounted markers. Human Movement Science 1997, 16, 219–242.CrossRefGoogle Scholar
  25. [25]
    Sati M, De Guise J A, Larouche S L, Drouin G. Quantitative assessment of skin marker movement at the knee. The Knee, 1996, 3, 121–138.CrossRefGoogle Scholar
  26. [26]
    Krigslund R, Dosen S, Popovski P, Dideriksen J L, Pedersen G F, Farina D. A novel technology for motion capture using passive UHF RFID tags. IEEE Transactions on Biomedical Engineering, 2013, 60, 1453–1457.CrossRefGoogle Scholar
  27. [27]
    Mündermann L, Corazza S, Andriacchi T P. The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications. Journal of NeuroEngineering and Rehabilitation, 2006, 15, 3–6.Google Scholar
  28. [28]
    Nigg B M, Herzog W. Biomechanics of the Musculo-skeletal System, 2nd ed, John Wiley and Sons Ltd, New York, USA, 1999.Google Scholar
  29. [29]
    Siegler S, Liu W. Inverse dynamics in human locomotion. In: Allard P, Cappozzo A, Lundberg A, Vaughan C (eds). Three-dimensional Analysis of Human Locomotion, John Wiley and Sons Ltd, New York, USA, 1997, 191–209.Google Scholar
  30. [30]
    Winter D A. Biomechanics and Motor Control of Human Movement, 3rd ed, John Wiley and Sons Ltd, New York, USA, 2004.Google Scholar
  31. [31]
    Cavanagh P R, Rodgers M M, Iiboshi A. Pressure distribution under symptom-free feet during barefoot standing. Foot & Ankle, 1987, 7, 262–276.CrossRefGoogle Scholar
  32. [32]
    Groundy M, Blackburn T P A, McLeish R D, Smidt L. An investigation of the centers of pressure under the foot while walking. Journal of Bone and Joint Surgery, 1975, 57, 98–103.Google Scholar
  33. [33]
    Bates K T, Savage R, Pataky T C, Morse S A, Webster E, Falkingham P L, Ren L, Qian Z H, Collins D, Bennett M R, McClymont J, Crompton R H. Does footprint depth correlate with foot motion and pressure. Journal of the Royal Society Interface, 2013, 10, 20130009.CrossRefGoogle Scholar
  34. [34]
    Meyring S, Diehl R R, Milani T L, Hennig E M, Berlit P. Dynamic plantar pressure distribution measurement in hemiparetic patients. Clinical Biomechanics, 1997, 12, 60–65.CrossRefGoogle Scholar
  35. [35]
    Gebruers N, Vanroy C, Truijen S, Engelborghs S, de Deyn P P. Monitoring of physical activity after stroke: A systematic review of accelerometry-based measures. Archives of Physical Medicine and Rehabilitation, 2010, 91, 288–297.CrossRefGoogle Scholar
  36. [36]
    Yang C C, Hsu Y L. A review of accelerometry-based wearable motion detectors for physical activity monitoring. Sensors, 2010; 10, 7772–7788.CrossRefGoogle Scholar
  37. [37]
    Kavanagh J J, Menz H B. Accelerometry: A technique for quantifying movement patterns during walking. Gait and Posture, 2008, 28, 1–15.CrossRefGoogle Scholar
  38. [38]
    Mathie M J, Coster A C, Lovell N H, Celler B G. Accelerometry: Providing an integrated, practical method for longterm, ambulatory monitoring of human movement. Physiological Measurement, 2004, 25, 1–20.CrossRefGoogle Scholar
  39. [39]
    Pfau T, Spence A, Starke S, Ferrari M, Wilson A. Modern riding style improves horse racing times. Science, 2009, 325, 289.CrossRefGoogle Scholar
  40. [40]
    Ren L, Hutchinson J R. The three-dimensional locomotor dynamics of African (Loxodonta africana) and Asian (Elephas maximus) elephants reveal a smooth gait transition at moderate speed. Journal of the Royal Society: Interface, 2008, 5, 195–211.Google Scholar
  41. [41]
    de Luca C J. The use of surface electromyography in biomechanics. Journal of Applied Biomechanics, 1997, 13, 135–163.CrossRefGoogle Scholar
  42. [42]
    Graţiela-Flavia D, Flavia R, Emilia G. Surface electromyography in biomechanics: Application and signal analysis aspects. Journal of Physical Education and Sport, 2009, 25, 1–10.Google Scholar
  43. [43]
    Konrad P. The ABC of EMG: A Practical Introduction to Kinesiological Electromyography (Version 1.0), Noraxon Inc, USA, 2005.Google Scholar
  44. [44]
    de Luca C J, Gilmore L D, Kuznetsov M, Roy S H. Filtering the surface EMG signal: Movement artifact and baseline noise contamination. Journal of Biomechanics, 2010, 43, 1573–1579.CrossRefGoogle Scholar
  45. [45]
    von Tscharner V. Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution. Journal of Electromyography & Kinesiology, 2000, 10, 433–445.CrossRefGoogle Scholar
  46. [46]
    Fornage B D. The case for ultrasound of muscles and tendons. Seminars in Musculoskeletal Radiology, 2000, 4, 375–391.CrossRefGoogle Scholar
  47. [47]
    Fukunaga T, Kawakami Y, Kubo K, Kanehisa H. Muscle and tendon interaction during human movements. Exercise and Sport Sciences Reviews, 2002, 30, 106–110.CrossRefGoogle Scholar
  48. [48]
    Kawakami Y, Fukunaga T. New insights into in vivo human skeletal muscle function. Exercise and Sport Sciences Reviews, 2006, 34, 16–21.CrossRefGoogle Scholar
  49. [49]
    Hashimoto B E, Kramer D J, Wiitala L. Application of musculoskeletal sonography. Journal of Clinical Ultrasound, 1999, 27, 293–299.CrossRefGoogle Scholar
  50. [50]
    Pillen S, van Alfen N. Skeletal muscle ultrasound. Neurological Research, 2011, 33, 1016–1024.CrossRefGoogle Scholar
  51. [51]
    Miller D I. A Computer Simulation Model of the Airborne Phase of Diving, Pennsylvania State University, Pennsylvania, USA, 1970.Google Scholar
  52. [52]
    Passerello C E, Huston R L. Human attitude control. Journal of Biomechanics, 1971, 4, 95–102.CrossRefGoogle Scholar
  53. [53]
    Hatze H. A comprehensive model for human motion simulation and its application to the take-off phase of the long jump. Journal of Biomechanics, 1981, 14, 135–142.CrossRefGoogle Scholar
  54. [54]
    Brand R A, Pedersen D R, Friederich J A. The sensitivity of muscle force predictions to changes in physiologic cross-sectional area. Journal of Biomechanics, 1986, 19, 589–596.CrossRefGoogle Scholar
  55. [55]
    Friederich J A, Brand R A. Muscle fiber architecture in the human lower limb. Journal of Biomechanics, 1990, 23, 91–95.CrossRefGoogle Scholar
  56. [56]
    Zajac F E. Muscle and tendon: Properties, models, scaling, and application to biomechanics and motor control. Critical Reviews in Biomedical Engineering, 1989, 17, 359–410.Google Scholar
  57. [57]
    Amankwah K, Triolo R, Kirsch R, Audu M. A model-based study of passive joint properties on muscle effort during static stance. Journal of Biomechanics, 2006, 39, 2253–2263.CrossRefGoogle Scholar
  58. [58]
    Delp S L, Loan J P, Hoy M G, Zajac F E, Topp E L, Rosen J M. An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures. IEEE Transactions on Biomedical Engineering, 1990, 37, 757–767.CrossRefGoogle Scholar
  59. [59]
    Delp S L, Loan J P. A graphics-based software system to develop and analyze models of musculoskeletal structures. Computers in Biology and Medicine, 1995, 25, 21–34.CrossRefGoogle Scholar
  60. [60]
    Audu M L, Kirsch R F, Triolo R J. A computational technique for determining the ground reaction forces in human bipedal stance. Journal of Applied Biomechanics, 2003, 19, 361–371.CrossRefGoogle Scholar
  61. [61]
    Anderson F C, Pandy M G. Dynamic optimisation of human walking. Journal of Biomechanical Engineering, 2001, 123, 381–390.CrossRefGoogle Scholar
  62. [62]
    Jenkyn T R, Nicol A C. A multisegment kinematic model of the foot with a novel definition of forefoot motion for use in clinical gait analysis during walking. Journal of Biomechanics, 2007, 40, 3271–3278.CrossRefGoogle Scholar
  63. [63]
    Nester C J, Liu A M, Ward E, Howard D, Cocheba J, Derrick T, Paterson P. In vitro study of foot kinematics using a dynamic walking cadaver model. Journal of Biomechanics, 2007, 40, 1927–1937.CrossRefGoogle Scholar
  64. [64]
    Ren L, Howard D, Ren L Q, Tian L M, Nester C J. A generic analytical foot rollover model for predicting translational ankle kinematics in gait simulation studies. Journal of Biomechanics, 2010, 43, 194–202.CrossRefGoogle Scholar
  65. [65]
    Neptune R R, Kautz S A, Zajac F E. Contributions of the individual ankle plantar flexors to support, forward progression and swing initiation during normal walking. Journal of Biomechanics, 2001, 34, 1387–1398.CrossRefGoogle Scholar
  66. [66]
    Pandy M G. Computer modeling and simulation of human movement. Annual Review Biomedical Engineering, 2001, 3, 245–273.CrossRefGoogle Scholar
  67. [67]
    Winters J M. Hill-based muscle models: A systems engineering perspective. In: Winters J M, Woo S L-Y (eds). Multiple Muscle Systems: Biomechanics and Movement Organization, Spring-Verlag, New York, USA, 1990, 69–93.CrossRefGoogle Scholar
  68. [68]
    Pandy M G, Zajac F E, Sim E, Levine W S. An optimal control model for maximum-height human jumping. Journal of Biomechanics, 1990, 23, 1185–1198.CrossRefGoogle Scholar
  69. [69]
    Delp S, Loan J. A computational framework for simulating and analyzing human and animal movement. Computing in Science and Engineering, 2000, 2, 46–55.CrossRefGoogle Scholar
  70. [70]
    Herrmann A M, Delp S L. Moment arm and force-generating capacity of the extensor carpi ulnaris after transfer to the extensor carpi radialis brevis. Journal of Hand Surgery, 1999, 24, 1083–1090.CrossRefGoogle Scholar
  71. [71]
    Loren G J, Shoemaker S D, Burkholder T J, Jacobson M D, Friden J, Leiber R L. Human wrist motors: Biomechanical design and application to tendon transfers. Journal of Biomechanics, 1996, 29, 331–342.CrossRefGoogle Scholar
  72. [72]
    Zajac F E, Gordon M E. Determining muscle’s force and action in multi-articular movement. Exercise Sport Science Review, 1989, 17, 187–230.Google Scholar
  73. [73]
    Hollerbach J M, Flash T. Dynamic interactions between limb segments during planar arm movement. Biological Cybernetics, 1982, 44, 67–77.CrossRefGoogle Scholar
  74. [74]
    Zajac F E, Neptune R R, Kautz S A. Biomechanics and muscle coordination of human walking, Part I: Introduction to concepts, power transfer, dynamics and simulations. Gait and Posture, 2003, 16, 215–232.CrossRefGoogle Scholar
  75. [75]
    Zajac F E, Neptune R R, Kautz S A. Biomechanics and muscle coordination of human walking, Part II: Lessons from dynamical simulations and clinical implications. Gait and Posture, 2003, 17, 1–17.CrossRefGoogle Scholar
  76. [76]
    Ren L, Howard D, Kenney L. Computational models to synthesize human walking. Journal of Bionic Engineering, 2006, 3, 127–138.CrossRefGoogle Scholar
  77. [77]
    Davoodi R, Urata C, Hauschild M, Khachani M, Loeb G E. Model-based development of neural prostheses for movement. IEEE Transaction of Biomedical Engineering, 2007, 54, 1909–1918.CrossRefGoogle Scholar
  78. [78]
    McKay J L, Burkholder T J, Ting L H. Biomechanical capabilities influence postural control strategies in the cat hindlimb. Journal of Biomechanics, 2007, 40, 2254–2260.CrossRefGoogle Scholar
  79. [79]
    Berniker M, Jarc A, Bizzi E, Tresch M C. Simplified and effective motor control based on muscle synergies to exploit musculoskeletal dynamics. Proceedings of the National Academy of Sciences, USA, 2009, 106, 7601–7606.CrossRefGoogle Scholar
  80. [80]
    Pai D K. Muscle mass in musculoskeletal models. Journal of Biomechanics, 2010, 43, 2093–2098.CrossRefGoogle Scholar
  81. [81]
    Ramsay J W, Hunter B V, Gonzalez R V. Muscle moment arm and normalized moment contributions as reference data for musculoskeletal elbow and wrist joint models. Journal of Biomechanics, 2009, 42, 463–473.CrossRefGoogle Scholar
  82. [82]
    Ren L, Jones R, Howard D. Dynamic analysis of load carriage biomechanics during human level walking. Journal of Biomechanics, 2005, 38, 853–863.CrossRefGoogle Scholar
  83. [83]
    Delp S L, Anderson F C, Arnold A S, Loan P, Habib A, John C T, Guendelman E, Thelen D G. OpenSim: Open-source software to create and analyze dynamic simulations of movement. IEEE Transactions of Biomedical Engineering, 2007, 54, 1940–1950.CrossRefGoogle Scholar
  84. [84]
    Saraswat P, Andersen M S, Macwilliams B A. A muscu-loskeletal foot model for clinical gait analysis. Journal of Biomechanics, 2010, 43, 1645–1652.CrossRefGoogle Scholar
  85. [85]
    Ren L, Jones R, Howard D. Predictive modelling of human walking over a complete gait cycle. Journal of Biome-chanics, 2007, 40, 1567–1574.CrossRefGoogle Scholar
  86. [86]
    Moroney S P, Schultz A B, Miller J A, Andersson G B. Load-displacement properties of lower cervical spine motion segments. Journal of Biomechanics, 1988, 21, 769–779.CrossRefGoogle Scholar
  87. [87]
    Shirazi-Adl A, M Ahmed A, Shrivastava S C. A finite element study of a lumbar motion segment subjected to pure sagittal plane moments. Journal of Biomechanics, 1986, 19, 331–350.CrossRefGoogle Scholar
  88. [88]
    Yoganandan N, Kumaresan S, Voo L, Pintar F A. Finite element applications in human cervical spine modelling. Spine, 1996, 21, 1824–1834.CrossRefGoogle Scholar
  89. [89]
    Bozic K J, Keyak J H, Skinner H B, Bueff H U, Bradford D S. Three-dimensional finite element modeling of a cervical vertebra: An investigation of burst fracture mechanism. Journal of Spinal Disorders, 1994, 7, 102–110.CrossRefGoogle Scholar
  90. [90]
    Teo E C, Paul J P, Evans J H. Finite element stress analysis of a cadaver second cervical vertebra. Medical & Biological Engineering & Computing, 1994, 32, 236–138.Google Scholar
  91. [91]
    Saito T, Yamamuro T, Shikata J, Oka M, Tsutsumi S. Analysis and prevention of spinal column deformity following cervical laminectomy, pathogenetic analysis of post laminectomy deformities. Spine, 1991, 16, 494–502.CrossRefGoogle Scholar
  92. [92]
    Kleinberger M. Application of finite element techniques to the study of cervical spine mechanics. Proceedings of the 37th Stapp Car Crash Conference, San Antonio, Texas, USA0, 1993, 7–8, 261–272.Google Scholar
  93. [93]
    Voo L, Denman J A, Yoganandan N, Pintar F, Cusick J F. A 3D FE model of cervical spine with CT-based geometry. Advanced Bioengineering, 1995, 29, 323–324.Google Scholar
  94. [94]
    Voo L, Denman J, Kumaresan S, Yoganandan N, Pintar F A, Cusick J F. Development of 3D finite element model of the cervical spine. Advanced Bioengineering, 1995, 31, 13–14.Google Scholar
  95. [95]
    Goel V K, Clausen J D. Prediction of load sharing among spinal components of a C5–C6 motion segment using the finite element approach. Spine, 1998, 23, 684–691.CrossRefGoogle Scholar
  96. [96]
    Teo E C, Ng H W. First cervical vertebra (atlas) fracture mechanism studies using finite element method. Journal of Biomechanics, 2001, 34, 13–21.CrossRefGoogle Scholar
  97. [97]
    Puttlitz C M, Goel V K, Clark C R, Traynelis V C, Scifert J L, Grosland N M. Biomechanical rationale for the pathology of rheumatoid arthritis in the craniovertebral junction. Spine, 2000, 25, 1607–1616.CrossRefGoogle Scholar
  98. [98]
    Stemper B D, Kumaresan S, Yoganandan N, Pintar F A. Head-neck finite element model for motor vehicle inertial impact: Material sensitivity analysis. Biomedical Sciences Instrumentation, 2000, 36, 331–335.Google Scholar
  99. [99]
    Camacho D L, Nightingale R W, Myers B S. Surface friction in near-vertex head and neck impact increases risk of injury. Journal of Biomechanics, 1999, 32, 293–301.CrossRefGoogle Scholar
  100. [100]
    Zhang Q H, Teo E C, Ng H W. Development and validation of a C0–C7 FE complex for biomechanical study. Journal of Biomechanical Engineering, 2005, 127, 729–735.CrossRefGoogle Scholar
  101. [101]
    Lemmon D, Shiang T Y, Hashmi A, Ulbrecht J S, Cavanagh P R. The effect of insoles in therapeutic footwear: A finite element approach. Journal of Biomechanics, 1997, 30, 615–620.CrossRefGoogle Scholar
  102. [102]
    Patil K M, Braak L H, Huson A. Analysis of stresses in two-dimensional models of normal and neuropathic feet. Medical & Biological Engineering & Computing, 1996, 34, 280–284.CrossRefGoogle Scholar
  103. [103]
    Wu L J. Nonlinear finite element analysis for muscu-loskeletal biomechanics of medial and lateral plantar longitudinal arch of virtual Chinese human after plantar ligamentous structure failures. Clinical Biomechanics, 2007, 22, 221–229.CrossRefGoogle Scholar
  104. [104]
    Chu T M, Reddy N P, Padovan J. Three-dimensional finite element stress analysis of the polypropylene, ankle-foot orthosis: Static analysis. Medical Engineering and Physics, 1995, 17, 372–379.CrossRefGoogle Scholar
  105. [105]
    Jacob S, Patil K M, Braak L H, Huson A. Stresses in a 3D two arch model of a normal human foot. Mechanics Research Communications, 1996, 23, 387–393.MATHCrossRefGoogle Scholar
  106. [106]
    Gefen A, Megido-Ravid M, Itzchak Y, Arcan M. Biomechanical analysis of the three-dimensional foot structure during gait: A basic tool for clinical applications. Journal of Biomechanical Engineering, 2000, 122, 630–639.CrossRefGoogle Scholar
  107. [107]
    Gefen A. Stress analysis of the standing foot following surgical plantar fascia release. Journal of Biomechanics, 2000, 35, 629–637.CrossRefGoogle Scholar
  108. [108]
    Gefen A. Plantar soft tissue loading under the medial metatarsals in the standing diabetic foot. Medical Engineering and Physics, 2003, 25, 491–499.CrossRefGoogle Scholar
  109. [109]
    Cheung J T, Zhang M. Parametric design of pressure- relieving foot orthosis using statistics-based finite element method, Medical Engineering and Physics, 2008, 30, 269–277.CrossRefGoogle Scholar
  110. [110]
    Cheung J K, Zhang M, An K N. Effects of plantar fascia stiffness on the biomechanical responses of the ankle-foot complex. Clinical Biomechanics, 2004, 19, 839–846.CrossRefGoogle Scholar
  111. [111]
    Cheung J T, Zhang M, Leung A K, Fan Y B. Three-dimensional finite element analysis of the foot during standing: A material sensitivity study. Journal Biome-chanics, 2005, 38, 1045–1054.CrossRefGoogle Scholar
  112. [112]
    Garcia-Aznar J M, Bayod J, Rosas A, Larrainzar R, García-Bógalo R, Doblaré M, Llanos L F. Load transfer mechanism for different metatarsal geometries: A finite element study. Journal of Biomechanical Engineering, 2009, 131, 021011.CrossRefGoogle Scholar
  113. [113]
    Cheng H Y, Lin C L, Wang H W, Chou SW. Finite element analysis of plantar fascia under stretch: The relative contribution of windlass mechanism and Achilles tendon force. Journal of Biomechanics, 2008, 41, 1937–1944.CrossRefGoogle Scholar
  114. [114]
    Hsu Y C, Gung Y W, Shih S L, Feng C K, Wei S H, Yu C H, Chen C S. Using an optimization approach to design an insole for lowering plantar fascia stress: A finite element study. Annals of Biomedical Engineering, 2008, 36, 1345–1352.CrossRefGoogle Scholar
  115. [115]
    Chen W M, Lee T, Lee P V, Lee J W, Lee S J. Effects of internal stress concentrations in plantar soft tissue: A preliminary three-dimensional finite element analysis. Medical Engineering and Physics, 2010, 32, 324–331.CrossRefGoogle Scholar
  116. [116]
    Chen W M, Park J, Park S B, Shim V P, Lee T. Role of gastrocnemius-soleus muscle in forefoot force transmission at heel rise: A 3D finite element analysis, Journal of Biomechanics, 2012, 45, 1783–1789.CrossRefGoogle Scholar
  117. [117]
    Dai X Q, Li Y, Zhang M, Cheung J T. Effect of sock on biomechanical responses of foot during walking. Clinical Biomechanics, 2006, 21, 314–321.CrossRefGoogle Scholar
  118. [118]
    Qian Z H, Ren L, Ding Y, Hutchinson J R, Ren L Q. A dynamic finite element analysis of human foot complex in the sagittal plane during level walking. PLoS ONE, 2013, 8, e79424.CrossRefGoogle Scholar
  119. [119]
    Brown T D, DiGioia A M. A contact-coupled finite element analysis of the natural adult hip. Journal of Biomechanics, 1984, 17, 437–448.CrossRefGoogle Scholar
  120. [120]
    Aspeden R M. A model for function and failure of the meniscus, Engineering in Medicine, 1985, 14, 119–122.CrossRefGoogle Scholar
  121. [121]
    Eckstein F, Merz B, Schmid P, Putz R. The influence of geometry on the stress distribution in joints: A finite element analysis, Anatomy and Embryology, 1994, 189, 545–552.CrossRefGoogle Scholar
  122. [122]
    van der Helm F C T, Veeger H E J, Pronk G M, Van der Woude L H V, Rozendal R H. Geometry parameters for musculoskeletal modeling of the shoulder system. Journal of Biomechanics, 1992, 25, 129–144.CrossRefGoogle Scholar
  123. [123]
    Spilker R L, Donzelli P S, Mow V C. A transversely isotropic biphasic finite element model of the meniscus. Journal of Biomechanics, 1992, 25, 1027–1045.CrossRefGoogle Scholar
  124. [124]
    Donzelli P S, Spilker R L. A mixed penalty contact finite element formulation with applications to biphasic tissues of the knee. ASME International Mechanical Engineering Congress and Exposition, Chicago, USA, 1994, 13–14.Google Scholar
  125. [125]
    Donahue T L, Hull M L, Rashid M M, Jacobs C R. A finite element model of the human knee joint for the study of tibio-femoral contact. Journal of Biomechanical Engineering, 2002, 124, 273–280.CrossRefGoogle Scholar
  126. [126]
    Li G, Kanamori A, Woo S L. A validated three-dimensional computational model of a human knee joint. Journal of Biomechanical Engineering, 1999, 121, 657–662.CrossRefGoogle Scholar
  127. [127]
    Weiss J A, Gardiner J C, Ellis B J, Lujan T J, Phatak N S. Three-dimensional finite element modeling of ligaments: Technical aspects. Medical Engineering and Physics, 2005, 27, 845–861.CrossRefGoogle Scholar
  128. [128]
    Giori N J, Beaupre G S, Carter D R. Cellular shape and pressure may mediate mechanical control of tissue composition in tendons. Journal of Orthopaedic Research, 1993, 11, 581–591.CrossRefGoogle Scholar
  129. [129]
    Matyas J R, Anton M G, Shrive N G, Frank C B. Stress governs tissue phenotype at the femoral insertion of the rabbit MCL. Journal of Biomechanics, 1995, 28, 147–157.CrossRefGoogle Scholar
  130. [130]
    Gardiner J C, Weiss J A, Rosenberg T D. Strain in the human medial collateral ligament during valgus loading of the knee. Clinical Orthopaedics, 2001, 391, 266–274.CrossRefGoogle Scholar
  131. [131]
    Kawada T, Abe T, Yamamoto K, Hirokawa S, Soejima T, Tanaka N, Inoue A. Analysis of strain distribution in the medial collateral ligament using a photoelastic coating method. Medical Engineering and Physics, 1999, 21, 279–291.CrossRefGoogle Scholar
  132. [132]
    Song Y, Debski R E, Musahl V, Thomas M, Woo S L. A three-dimensional finite element model of the human anterior cruciate ligament: A computational analysis with experimental validation. Journal of Biomechanics, 2004, 37, 383–390.CrossRefGoogle Scholar
  133. [133]
    Debski R E, Weiss J A, Newman W J, Moore S M, McMahon P J. Stress and strain in the anterior band of the inferior glenohumeral ligament during a simulated clinical exam. Journal of Shoulder and Elbow Surgery, 2005, 14, S24–S31.CrossRefGoogle Scholar
  134. [134]
    Limbert G, Taylor M, Middleton J. Three-dimensional finite element modelling of the human ACL: Simulation of passive knee flexion with a stressed and stress-free ACL. Journal of Biomechanics, 2004, 37, 1723–1731.CrossRefGoogle Scholar
  135. [135]
    Huxley A F. The mechanism of muscular contraction. Science, 1969, 164, 1356–1365.CrossRefGoogle Scholar
  136. [136]
    Huxley A F. Muscular contraction. Journal of Physiology, 1974, 243, 1–43.CrossRefGoogle Scholar
  137. [137]
    Hatze H. Myocybernetic Control Models of Skeletal Muscle: Characteristics and Applications, University of South Africa, Pretoria, South Africa, 1981.MATHGoogle Scholar
  138. [138]
    Riek S, Chapman A E, Milner T A. Simulation of muscle force and internal kinematics of extensor carpi radialis brevis during backhand tennis stroke: Implications for injury. Clinical Biomechanics, 1999, 4, 77–83.Google Scholar
  139. [139]
    Stojanovic B, Kojic M, Rosic M, Tsui C P, Tang C Y. An extension of Hill’s three-component model to include different fiber types in finite element modeling of muscle. International Journal for Numerical Methods in Engineering, 2007, 71, 801–817.MATHCrossRefGoogle Scholar
  140. [140]
    Tang C Y, Tsui C P, Stojanovic B, Kojic M. Finite element modelling of skeletal muscles coupled with fatigue. International Journal of Mechanical Sciences, 2007, 49, 1179–1191.CrossRefGoogle Scholar
  141. [141]
    Johansson T, Meier P, Blickhan R. A finite-element model for the mechanical analysis of skeletal muscles. Journal of Theoretical Biology, 2000, 206, 131–149.CrossRefGoogle Scholar
  142. [142]
    Yucesoy C A, Koopman B H, Huijing P A, Grootenboer H J. Three-dimensional finite element modeling of skeletal muscle using a two-domain approach: Linked fiber-matrix mesh model. Journal of Biomechanics, 2002, 35, 1253–1262.CrossRefGoogle Scholar
  143. [143]
    Tsui C P, Tang C Y, Leung C P, Cheng K W, Ng Y F, Chow D H, Li C K. Active finite element analysis of skeletal muscletendon complex during isometric, shortening and lengthening contraction. Bio-Medical Materials and Engineering, 2004, 14, 271–279.Google Scholar
  144. [144]
    Oomens C W, Maenhout M, van Oijen C H, Drost M R, Baaijens F P. Finite element modelling of contracting skeletal muscle, Philosophical Transactions of the Royal Society B: Biological Sciences, 2003, 358, 1453–1460.CrossRefGoogle Scholar
  145. [145]
    Bosboom E M H, Hesselink M K C, Oomens C W J, Bouten C V C, Drost M R, Baaijens F P T. Passive transverse mechanical properties of skeletal muscle under the in vivo compression. Journal of Biomechanics, 2001, 34, 1365–1368.CrossRefGoogle Scholar
  146. [146]
    Blemker S S, Delp S L. Three-dimensional representation of complex muscle architectures and geometries. Annals of Biomedical Engineering, 2005, 33, 661–673.CrossRefGoogle Scholar
  147. [147]
    Blemker S S, Pinsky P M, Delp S L. A 3D model of muscle reveals the causes of nonuniform strains in the biceps brachii. Journal of Biomechanics, 2005, 38, 657–885.CrossRefGoogle Scholar
  148. [148]
    Blemker S S, Teran J, Sifakis E, Fedkiw R, Delp S. Fast 3D muscle simulations using a new quasi-static invertible finite element algorithm. First MIT International Symposium on Computer Simulation in Biomechanics, Cleveland, USA, 2005.Google Scholar
  149. [149]
    van den Bogert A J. Analysis and simulation of mechanical loads on the human musculoskeletal system. Exercise and Sport Sciences Reviews, 1994, 22, 23–51.Google Scholar
  150. [150]
    Gerritsen K G M, van den Bogert A J, Nachbauer W. Computer simulation of loading movement in downhill skiing: Anterior cruciate ligament injuries. Journal of Biomechanics, 1996, 29, 845–854.CrossRefGoogle Scholar
  151. [151]
    Neptune R R, Kautz S A. Knee joint loading in forward versus backward pedaling: Implications for rehabilitation strategies. Clinical Biomechanics, 2000, 15, 528–535.CrossRefGoogle Scholar
  152. [152]
    Raibert M, Blankespoor K, Nelson G, Playter R. BigDog, the rough-terrain quadruped robot. Proceeding of the 17th World Congress, the International Federation of Automatic Control, Seoul, Korea, 2008.Google Scholar
  153. [153]
    Flammang B E, Porter M E. Bioinspiration: Applying mechanical design to experimental biology. Integrative and Comparative Biology, 2011, 51, 128–132.CrossRefGoogle Scholar
  154. [154]
    Lee D V, Biewener A A. BigDog-inspired studies in the locomotion of goats and dogs. Integrative and Comparative Biology, 2011, 51, 190–202.CrossRefGoogle Scholar
  155. [155]
    Alexander R M. Elastic Mechanisms in Animal Movement, Cambridge University Press, Cambridge, UK, 1988.Google Scholar
  156. [156]
    Kato I, Ohteru S, Kobayashi H, Shirai K, Uchiyama A. Information-power machine with senses and limbs. Proceedings of the First CISM-IFTOMM Symposium on Theory and Practice of Robots and Manipulators, Udine, Italy, 1973.Google Scholar
  157. [157]
    Chevallereau C, Abba G, Aoustin Y, Plestan F, Westervelt E R, Canudas-de-Wit C, Grizzle J W. A testbed for advanced control theory. IEEE Control Systems Magazine, 2003, 23, 57–79.CrossRefGoogle Scholar
  158. [158]
    Pfeiffer F, Loffler K, Gienger M. The concept of jogging JOHNNIE. Proceedings of IEEE International Conference on Robotics and Automation, Washington DC, USA, 2002, 3129–3135.Google Scholar
  159. [159]
    Coleman M J, Ruina A. An uncontrolled walking toy that cannot stand still. Physical Review Letters, 1998, 80, 3658–3661.CrossRefGoogle Scholar
  160. [160]
    Collins S, Ruina A, Tedrake R, Wisse M. Efficient bipedal robots based on passive-dynamic walkers. Science, 2005, 307, 1082–1085.CrossRefGoogle Scholar
  161. [161]
    Collins S H, Wisse M, Ruina A. A 3-D passive-dynamic walking robot with two legs and knees. International Journal of Robotics Research, 2001, 20, 607–615.CrossRefGoogle Scholar
  162. [162]
    Wisse M. Three additions to passive dynamic walking; actuation, an upper body, and 3D stability. International Journal of Humanoid Robotics, 2005, 2, 459–478.CrossRefGoogle Scholar
  163. [163]
    Manoonpong P, Geng T, Kulvicius T, Porr B, Worgotter, F. Adaptive, fast walking in a biped robot under neuronal control and learning. PLoS Computational Biology, 2007, 3, e134.CrossRefGoogle Scholar
  164. [164]
    McGeer T. Passive dynamic walking. International Journal of Robotics Research, 1990, 9, 62–82.CrossRefGoogle Scholar
  165. [165]
    Iida F, Minekawa Y, Rummel J, Seyfarth A. Toward a human-like biped robot with compliant legs. Robotics and Autonomous Systems, 2009, 57, 139–144.CrossRefGoogle Scholar
  166. [166]
    Kedgley A E, Birmingham T, Jenkyn T R. Comparative accuracy of radiostereometric and optical tracking systems. Journal of Biomechanics, 2009, 42, 1350–1354.CrossRefGoogle Scholar
  167. [167]
    Shultz R, Kedgley A E, Jenkyn T R. Quantifying skin motion artifact error of the hindfoot and forefoot marker clusters with the optical tracking of a multi-segment foot model using single-plane fluoroscopy. Gait and Posture, 2011, 34, 44–48.CrossRefGoogle Scholar
  168. [168]
    Akbarshahi M, Schache A G, Fernandez J W, Baker R, Banks S, Pandy M G. Non-invasive assessment of soft-tissue artifact and its effect on knee joint kinematics during functional activity. Journal of Biomechanics, 2010, 43, 1292–1301.CrossRefGoogle Scholar
  169. [169]
    Erdemir A, McLean S, Herzog W, van den Bogert A J. Model-based estimation of muscle forces exerted during movements. Clinical Biomechanics, 2007, 22, 131–154.CrossRefGoogle Scholar
  170. [170]
    Fregly B J, Besier T F, Lloyd D G, Delp S L, Banks S A, Pandy M G, D’Lima D D. Grand challenge competition to predict in vivo knee loads. Journal of Orthopedic Research, 2012, 30, 503–513.CrossRefGoogle Scholar
  171. [171]
    Kinney A L, Besier T F, D’Lima D D, Fregly B J. Update on grand challenge competition to predict in vivo knee loads. Journal of Biomechanical Engineering, 2013, 135, 021012.CrossRefGoogle Scholar
  172. [172]
    Fregly B J, Boninger M L, Reinkensmeyer D J. Personalized neuromusculoskeletal modeling to improve treatment of mobility impairments: A perspective from European research sites. Journal of NeuroEngineering and Rehabilitation, 2012, 9, 18.CrossRefGoogle Scholar
  173. [173]
    Ford C M, Keaveny T M, Hayes W C. The effect of impact direction on the structural capacity of the proximal femur during falls. Journal of Bone and Mineral Research, 1996, 11, 377–383.CrossRefGoogle Scholar
  174. [174]
    Keyak J H, Lee I Y, Nath D S, Skinner H B. Postfailure compressive behavior of tibial trabecular bone in three anatomic directions. Journal of Biomedical Materials Research, 1996, 31, 373–378.CrossRefGoogle Scholar
  175. [175]
    Viceconti M, Bellingeri L, Cristofolini L, Toni A. A comparative study on different methods of automatic mesh generation of human femurs. Medical Engineering and Physics, 1998, 20, 1–10.CrossRefGoogle Scholar
  176. [176]
    Morgan E F, Keaveny T M. Dependence of yield strain of human trabecular bone on anatomic site. Journal of Biomechanics, 2001, 34, 569–577.CrossRefGoogle Scholar
  177. [177]
    Morgan E F, Bayraktar H H, Keaveny T M. Trabecular bone modulus-density relationships depend on anatomic site. Journal of Biomechanics, 2003, 36, 897–904.CrossRefGoogle Scholar
  178. [178]
    Tawhai M, Bischoff J, Einstein D, Erdemir A, Guess T, Reinbolt J. Multiscale modeling in computational biomechanics. Engineering in Medicine and Biology Magazine, 2009, 28, 41–49.CrossRefGoogle Scholar
  179. [179]
    International Working Group on the Diabetic Foot. Apelqvist J, Bakker K, van Houtum W H, Nabuurs-Franssen M H, Schaper N C (eds). International Consensus on the Diabetic Foot, Maastricht, the Netherland, 1999.Google Scholar
  180. [180]
    Yagihashi S, Yamagishi S, Wada R. Pathology and pathogenetic mechanisms of diabetic neuropathy: Correlation with clinical signs and symptoms. Diabetes Research and Clinical Practice, 2007, 77, S184–S189.CrossRefGoogle Scholar
  181. [181]
    Kwon O Y, Minor S D, Maluf K S, Mueller M J. Comparison of muscle activity during walking in subjects with and without diabetic neuropathy. Gait and Posture, 2003, 18, 105–113.CrossRefGoogle Scholar
  182. [182]
    Loganathan R, Bilgen M, Al-Hafez B, Smirnova I V. Characterization of alterations in diabetic myocardial tissue using high resolution MRI. International Journal of Cardiovascular Imaging, 2006, 22, 81–90.CrossRefGoogle Scholar
  183. [183]
    Lorenzi M, Gerhardinger C. Early cellular and molecular changes induced by diabetes in the retina. Diabetologia, 2001, 44, 791–804.CrossRefGoogle Scholar
  184. [184]
    Bus S A, Yang Q X, Wang J H, Smith M B, Wunderlich R, Cavanagh P R. Intrinsic muscle atrophy and toe deformity in the diabetic neuropathic foot: A magnetic resonance imaging study. Diabetes Care, 2002, 25, 1444–1450.CrossRefGoogle Scholar
  185. [185]
    Agoram B, Barocas V H. Coupled macroscopic and microscopic scale modeling of fibrillar tissues and tissue equivalents. Journal of Biomechanical Engineering, 2001, 123, 362–369.CrossRefGoogle Scholar

Copyright information

© Jilin University 2014

Authors and Affiliations

  1. 1.School of Mechanical, Aerospace and Civil EngineeringUniversity of ManchesterManchesterUK
  2. 2.Key Laboratory of Bionic Engineering (Ministry of Education, China)Jilin UniversityChangchunP. R. China

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