| تعداد نشریات | 127 |
| تعداد شمارهها | 7,196 |
| تعداد مقالات | 77,227 |
| تعداد مشاهده مقاله | 157,208,915 |
| تعداد دریافت فایل اصل مقاله | 118,400,391 |
The intricate link between anterior cruciate ligament rupture and lower limb muscle fatigue: Musculoskeletal Modeling | ||
| Journal of Computational Applied Mechanics | ||
| دوره 57، شماره 3، مهر 2026، صفحه 514-525 اصل مقاله (846.86 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jcamech.2026.409534.1765 | ||
| نویسندگان | ||
| Zeynab Saghaeinooshabadi1؛ Mohammad Reza Zakerzadeh1؛ Moahammad Ali Nazari* 1، 2 | ||
| 1School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran | ||
| 2Université Grenoble Alpes, CNRS, Grenoble INP, TIMC, Grenoble, France | ||
| چکیده | ||
| Objective Anterior Cruciate Ligament (ACL) rupture can independently affect an individual’s quality of life. This impact becomes more significant when fatigue and intense activity are involved. The aim of this study is to investigate the muscle forces generated in various muscles of the healthy and injured leg using musculoskeletal modeling in OpenSim software. Methods In this study, a participant with unilateral ACL rupture was asked to perform a one-hour walking protocol. Kinematic data were recorded using reflective markers and motion capture cameras, while kinetic data were collected via force plates. These data were used to model the gait and calculate muscle forces in different leg muscles using full inverse analysis workflow. Results Notable differences were observed in muscle forces between the healthy and injured legs. These differences were particularly evident in the Semimembranosus, Soleus and Gracilis muscles. The Vastus Medialis and Vastus Intermedius of the injured leg produced up to 30% more force compared to the corresponding muscles in the healthy leg during the gait cycle, while the Soleus muscle in the healthy leg generated 47% to 74% greater force Relative to the contralateral limb. The Gracilis muscle also showed more than 45% difference in force production favoring the injured leg. Conclusion Dynamic musculoskeletal modeling was used as a more comprehensive method than surface electromyography for assessing different muscles even deep muscles in patients with musculoskeletal disorders. The results agree with EMG study for Vastus Medialis, Gastrocnemius Lateralis and Soleus. Gastrocnemius Medialis showed an approximate agreement with IEMG (Integrated Electro MyoGraphy) results. The behavior of the other surface muscles does not comply with IEMG results. This shows that a better modeling which includes the ligaments is needed. | ||
| کلیدواژهها | ||
| Musculoskeletal modeling؛ Anterior Cruciate Ligament injury؛ OpenSim؛ muscle fatigue؛ Inverse kinematics and dynamics؛ Gait analysis؛ Computed muscle control | ||
| مراجع | ||
|
[1] H. Jebelli, J. Seo, S. Hwang, S. Lee, Physiology-based dynamic muscle fatigue model for upper limbs during construction tasks, International Journal of Industrial Ergonomics, Vol. 78, pp. 102984, 2020/07/01/, 2020.
[2] M. Elshafei, E. Shihab, Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables, Sensors (Basel), Vol. 21, No. 3, Jan 23, 2021. eng
[3] H.-W. Mueller-Wohlfahrt, L. Haensel, K. Mithoefer, J. Ekstrand, B. English, S. McNally, J. Orchard, C. N. van Dijk, G. M. Kerkhoffs, P. Schamasch, D. Blottner, L. Swaerd, E. Goedhart, P. Ueblacker, Terminology and classification of muscle injuries in sport: The Munich consensus statement, British Journal of Sports Medicine, Vol. 47, No. 6, pp. 342, 2013.
[4] B. E. Sibson, A. R. Harris, A. K. Yegian, A. Uwimana, A. Nuhu, A. Thomas, D. E. Anderson, R. M. Ojiambo, D. E. Lieberman, Associations of back muscle endurance with occupational back muscle activity and spinal loading among subsistence farmers and office workers in Rwanda, PLOS ONE, Vol. 19, No. 11, pp. e0309658, 2024.
[5] L. Ma, W. Zhang, B. Hu, D. Chablat, F. Bennis, F. Guillaume, Determination of subject-specific muscle fatigue rates under static fatiguing operations, Ergonomics, Vol. 56, No. 12, pp. 1889-1900, 2013/12/01, 2013.
[6] M. M. Eken, R. Richards, H. Beckerman, M. van der Krogt, K. Gerrits, M. Rietberg, V. de Groot, M. Heine, Quantifying muscle fatigue during walking in people with multiple sclerosis, Clinical Biomechanics, Vol. 72, pp. 94-101, 2020/02/01/, 2020.
[7] P. V. Viitasalo Jh Fau - Komi, P. V. Komi, Signal characteristics of EMG during fatigue, European Journal of Applied Physiology and Occupational Physiology, Vol. 37, No. 2, pp. 111-121, 1977/06/01, 1997. eng
[8] Z. Saghaeinooshabadi, M. R. Zakerzadeh, M. A. Nazari, The intricate link between anterior cruciate ligament rupture and lower limb muscle fatigue: a case study, Eur J Orthop Surg Traumatol, Vol. 35, No. 1, pp. 137, Mar 28, 2025. eng
[9] L. A.-O. Wang, Y. A.-O. X. Wang, A. Ma, G. Ma, Y. Ye, R. Li, T. A.-O. Lu, A Comparative Study of EMG Indices in Muscle Fatigue Evaluation Based on Grey Relational Analysis during All-Out Cycling Exercise, No. 2314-6141 (Electronic), 2018. eng
[10] J. Sun, G. Liu, Y. Sun, K. Lin, Z. Zhou, J. Cai, Application of Surface Electromyography in Exercise Fatigue: A Review, Front Syst Neurosci, Vol. 16, pp. 893275, 2022. eng
[11] K. Rostami, M. Alizadeh, H. Minoonejad, H. Yazdi, A. Thomas, Effect of Fatigue on Electromyographic Activity Patterns of the Knee Joint Muscles in Anterior Cruciate Ligament Reconstructed and Deficient Patients during Landing Task, Journal of Functional Morphology and Kinesiology, Vol. 3, pp. 22, 04/05, 2018.
[12] M. McHugh, T. Tyler, S. Nicholas, M. Browne, G. Gleim, Electromyographic Analysis of Quadriceps Fatigue After Anterior Cruciate Ligament Reconstruction, The Journal of orthopaedic and sports physical therapy, Vol. 31, pp. 25-32, 02/01, 2001.
[13] T. J. M. Dick, K. Tucker, F. Hug, M. Besomi, J. H. van Dieën, R. M. Enoka, T. Besier, R. G. Carson, E. A. Clancy, C. Disselhorst-Klug, D. Falla, D. Farina, S. Gandevia, A. Holobar, M. C. Kiernan, M. Lowery, K. McGill, R. Merletti, E. Perreault, J. C. Rothwell, K. Søgaard, T. Wrigley, P. W. Hodges, Consensus for experimental design in electromyography (CEDE) project: Application of EMG to estimate muscle force, Journal of Electromyography and Kinesiology, Vol. 79, pp. 102910, 2024/12/01/, 2024.
[14] C. Jing, W. Wang, D. Chablat, F. Bennis, Evaluating the Risk of Muscle Injury in Football-Kicking Training with OpenSim, in: Eds., pp. 100-109, 2021.
[15] A. Seth, M. Sherman, J. A. Reinbolt, S. L. Delp, OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange, Procedia IUTAM, Vol. 2, pp. 212-232, 2011/01/01/, 2011.
[16] K. L. Moore, A. F. Dalley, A. M. R. Agur, Chapter 5: Lower Limb, in: Clinically Oriented Anatomy, Eds.: Lippincott Williams & Wilkins, 2009.
[17] C. L. Vaughan, Davis, B. L., and O'connor, J. C.,, 1992, Dynamics of Human Gait, Human Kinetics, Publishers Champaign, Illinois, United States,
[18] N. Maniar, M. H. Cole, A. L. Bryant, D. A. Opar, Muscle Force Contributions to Anterior Cruciate Ligament Loading, Sports Med, Vol. 52, No. 8, pp. 1737-1750, Aug, 2022. eng
[19] J. Moon, J. Lee, K. Kim, D. Koo, J. Lee, P. Pathak, G. A. Sanchez, S. B. Panday, Effect of Muscle-Specific Fatigue on the Risk of Anterior Cruciate Ligament Injury in Females, Applied Sciences, 11, 2021].
[20] A. Benjaminse, K. E. Webster, A. Kimp, M. Meijer, A. Gokeler, Revised Approach to the Role of Fatigue in Anterior Cruciate Ligament Injury Prevention: A Systematic Review with Meta-Analyses, Sports Med, Vol. 49, No. 4, pp. 565-586, Apr, 2019. eng
[21] http://www.seniam.org/, Accessed.
[22] S. L. Delp, F. C. Anderson, A. S. Arnold, P. Loan, A. Habib, C. T. John, E. Guendelman, D. G. Thelen, OpenSim: open-source software to create and analyze dynamic simulations of movement, IEEE Trans Biomed Eng, Vol. 54, No. 11, pp. 1940-50, Nov, 2007. eng
[23] https://opensimconfluence.atlassian.net/, Accessed.
[24] S. A. Roelker, E. J. Caruthers, R. K. Hall, N. C. Pelz, A. M. W. Chaudhari, R. A. Siston, Effects of Optimization Technique on Simulated Muscle Activations and Forces, J Appl Biomech, Vol. 36, No. 4, pp. 259-278, Aug 1, 2020. eng
[25] M. P. Kadaba, H. K. Ramakrishnan, M. E. Wootten, Measurement of lower extremity kinematics during level walking, Journal of Orthopaedic Research, Vol. 8, No. 3, pp. 383-392, 1990.
[26] H. Huang, W. Yin, S. Ren, Y. Yu, S. Zhang, Q. Rong, Y. Ao, Muscular Force Patterns during Level Walking in ACL-Deficient Patients with a Concomitant Medial Meniscus Tear, Appl Bionics Biomech, Vol. 2019, pp. 7921785, 2019. eng
[27] M. Lindström, L. Felländer-Tsai, T. Wredmark, M. Henriksson, Adaptations of gait and muscle activation in chronic ACL deficiency, Knee Surg Sports Traumatol Arthrosc, Vol. 18, No. 1, pp. 106-14, Jan, 2010. eng
[28] Q. Shao, T. D. MacLeod, K. Manal, T. S. Buchanan, Estimation of ligament loading and anterior tibial translation in healthy and ACL-deficient knees during gait and the influence of increasing tibial slope using EMG-driven approach, Ann Biomed Eng, Vol. 39, No. 1, pp. 110-21, Jan, 2011. eng
[29] E. S. Gardinier, K. Manal, T. S. Buchanan, L. Snyder-Mackler, Gait and neuromuscular asymmetries after acute anterior cruciate ligament rupture, Med Sci Sports Exerc, Vol. 44, No. 8, pp. 1490-6, Aug, 2012. eng
[30] Z. Knoll, R. M. Kiss, L. Kocsis, Gait adaptation in ACL deficient patients before and after anterior cruciate ligament reconstruction surgery, J Electromyogr Kinesiol, Vol. 14, No. 3, pp. 287-94, Jun, 2004. eng
[31] R. L. Lenhart, C. A. Francis, A. L. Lenz, D. G. Thelen, Empirical evaluation of gastrocnemius and soleus function during walking, J Biomech, Vol. 47, No. 12, pp. 2969-74, Sep 22, 2014. eng | ||
|
آمار تعداد مشاهده مقاله: 44 تعداد دریافت فایل اصل مقاله: 63 |
||