A set of anatomical databases for developing biomechanical models of the lower human limb
R. Raikova
, S. Angelova
, S. Delchev
, I. Ivanov
, P. Raykov
Резюме: Biomechanical models of the human lower limbs are used in different areas, such as automobile design, rehabilitation, prosthetic and orthotic devices, etc. Many modelers have difficulties transferring anatomical data into mechanical concepts. The current paper aims to systematize the specific anatomical and biomechanical data for the muscles of the lower limb and their actions in the three main joints – hip, knee, and ankle – and to illustrate how a concrete model for concrete joints and motor tasks can be developed. Materials and methods: Two tables were composed using the data from different anatomical sources – textbooks, atlases, the internet, etc. The first consists of all 31 muscles crossing the three joints, using abbreviations, and their actions. In the second table, all muscles are ordered according to their importance in the joint motions. An anatomical model is developed for each muscle showing its anatomical position and attachment points. Results: Simple biomechanical models in sagittal and frontal planes with the most important muscles are developed. Discussion: The anatomical models show the position of all muscles on the lower limb and are very suitable for making biomechanical models of the whole limb or of specific joints. The two presented tables can help to choose the most important and suitable muscles and give possibilities to eliminate small and not very important muscles. Conclusion: The developed tables and models will save much time for non-specialists to orient themselves into the anatomical schemes, to create simple or complex biomechanical models, and calculate muscle forces and joint reactions.
Series on Biomechanics, Vol.38, No.3 (2024), 3-14
DOI:10.7546/SB.01.03.2024
Ключови думи: Biomechanics; joint; lower limb; models; muscle
Литература: (click to open/close) | [1] Ascenzi, A., 1993. Biomechanics and Galileo Galilei. Journal of Biomechanics 26, 990-100. [2] Piolanti, N., Polloni, S., Bonicoli, E, Giuntoli, M., Scaglione, M., Indelli, P. F., Borelli, G.A., 2018. The precursor of medial pivot concept in knee biomechanics. Joints 6, 167–172. [3] Raikova, R., 1992. A general approach for modelling and mathematical investigation of the human upper limb. Journal of Biomechanics 25, 857-867. [4] DiStefano, L.J., Padua, D.A. Brown, C.N., Guskiewicz, K.M., 2008. Lower extremity kinematics and ground reaction forces after prophylactic lace-up ankle bracing. Journal of Athletic Training 43, 234-41. [5] Raikova, R.T., Prilutsky, B.I., 2001. Sensitivity of predicted muscle forces to parameters of the optimization-based human leg model revealed by analytical and numerical analyses. Journal of Biomechanics 34, 1243-1255. [6] Bicera, M., Phillips, A.T.M., Modenese, L., 2022. Altering the strength of the muscles crossing the lower limb joints only affects knee joint reaction forces. Gait & Posture 95, 210-216. [7] Douglas, J., Ross, A., Martin, J.C., 2021. Maximal muscular power: lessons from sprint cycling. Sports Medicine – Open 7, 48. [8] Raikova, R., 2000. Prediction of individual muscle forces using Lagrange multipliers method - a model of the upper human limb in the sagittal plane: I. Theoretical considerations. Computer Methods in Biomechanics and Biomedical Engineering 3, 95-107. [9] Prilutsky, B.I., Zatsiorsky, V.M., 2002. Optimization-based models of muscle coordination. Exercise and Sport Sciences Reviews 30, 32. [10] Rebelo, E.A., Grigoriadis, G., Carpanen, D., Bull, A.M.J., Masouros, S.D., 2021. An experimentally validated finite element model of the lower limb to investigate the efficacy of blast mitigation systems. Frontiers in Bioengineering and Biotechnology 28. [11] Mokri, C., Bamdad, M., Abolghasemi, V., 2022. Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques. Medical & Biological Engineering & Computing 60, 683-699. [12] Lidhya, L., Saranya, S., Poonguzhali, S., 2014. Analysis of lower extremity muscle activation usig EMG. Applied Mechanics and Materials 573, 797-802. [13] Moreira, L., Figueiredo, J., Fonseca, P., Vilas-Boas, J. P., Santos, C. P., 2021 Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds. Scientific Data 8, 103. [14] Seireg, A., Arvikar, R.J., 1973. A mathematical model for evaluation of forces in lower extremities of the musculo-skeletal system. Journal of Biomechanics 6, 313-326. [15] Arnold, E.M., Ward, S.R., Lieber, R.L., Delp, S.L., 2010. A model of the lower limb for analysis of human movement. Annals of Biomedical Engineering 38, 269-279. [16] Hoy, M.G., Zajac, F.E., Gordonab, M.E., 1990. A musculoskeletal model of the human lower extremity: The effect of muscle, tendon, and moment arm on the moment-angle relationship of musculotendon actuators at the hip, knee, and ankle. Journal of Biomechanics 23, 157-169. [17] https://www.anybodytech.com [18] https://biomed.bas.bg/bg/structure/motor-control/ (section current projects). [19] Ward, S.R., Eng, C.M., Smallwood, L.H., Lieber, R.L. 2009. Are current measurements of lower extremity muscle architecture accurate? Clin Orthop Relat Res. 467,1074-82. [20] Voronov, A.V., 2003. Anatomical cross-sectional areas and volumes of the muscles of the lower extremities. Human Physiology 29, 201–211. [21] Raikova, R., 2010. Some considerations about the prediction of muscle forces for multi-joints biomechanical models. Series on Biomechanics 25, 3-4. [22] Raikova, R., Ivanova, Z., Angelova, S., 2022. An indeterminate problem for an upper limb model with four biarticular muscles and its three modifications - analytical and numerical solution and sensitivity analysis. Series on Biomechanics 36, 2. [23] Pierrynowski, M.R, Morrison, J.B., 1985. Estimating the muscle forces generated in the human lower extremity when walking: a physiological solution. Mathematical Biosciences 75, 43-68. [24] Nikolova, G., Dantchev, D., 2022. Gender dependence of the geometric and mass-inertial characteristics via a 3D biomechanical model of the human body. Series on Biomechanics 36, 113-119. [25] Nikolova, G., Tsveov, M., Dantchev, D., Kiriazov, P., 2021. CAD design of a new 3D geometrical model of the human body. Series on Biomechanics 35, 58-64. [26] Moore, K.L., Dalley, A.F.I.I., Agur, A.M.R. Clinically oriented anatomy. 2018, Philadelphia: Wolters Kluwer, 8th edition. [27] Maton, B., Bouisset, S., 1977. The distribution of activity among the muscles of a single group during isometric contraction. European Journal of Applied Physiology 37, 101–109. [28] Ivanov, I., Ranchev, S., Stoychev, S., 2024. Experimental Ultrasound Approach for Studying Knee Intra-Articular Femur–Tibia Movements under Different Loads. Journal of Functional Morphology and Kinesiology 9, 8.
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| Дата на публикуване: 2024-11-15
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