Numerical simulation of lower limb forces during basketball pivot movements investigating injury prevention strategies

  • Wenbin Wang Department of Physical Education, Shanxi Polytechnic College, Taiyuan 030006, China
Keywords: biomechanical stress; biomechanical demands; training regimens; knee flexion; biomechanical forces; muscle coordination; movements; finite element analysis; anterior cruciate ligament
Article ID: 576

Abstract

Basketball is a dynamic sport characterized by high-intensity movements such as pivoting, cutting, and jumping, which place significant biomechanical stress on the lower limbs. These movements increase the risk of injury, particularly to the knee, ankle, and hip joints. This study investigates the biomechanical forces acting on the lower limbs during basketball pivot movements, explicitly focusing on injury prevention strategies. Using advanced biomechanical modeling techniques, including Motion Capture System (MCS), Force Plate Measurements (FPM), and electromyography (EMG), the study quantifies joint forces, muscle activation patterns, and Ground Reaction Forces (GRF) during pivoting, cutting, and jumping. A fatigue protocol was incorporated to examine how fatigue impacts force distribution and injury risk, with particular attention to Anterior Cruciate Ligament (ACL) strain and meniscal damage. Finite Element Analysis (FEA) and inverse dynamics modeling were employed to simulate the internal forces acting on the knee, ankle, and hip joints, providing insights into the injury mechanisms associated with basketball movements. The kinematic analysis reveals that jumping produces the highest knee flexion (52.3°) and extension (130.8°), with maximum angular velocity (332.7 deg/s) and acceleration (1456.8 deg/s2), indicating the explosive nature of the movement. In the kinetic analysis, vertical GRF is highest during jumping, reaching 1897.4 N, while the knee joint reaction force peaks at 2876.3 N. A fatigue protocol was incorporated, showing that post-fatigue vertical GRF increased by 4%–5%, knee joint moments rose by 6%–8%, and quadriceps and hamstring activation dropped by 7%–8%. FEA highlighted that ACL stress is highest during jumping (23.1 MPa), with corresponding ACL strain at 9.7%. The results highlight that fatigue exacerbates joint loading and reduces muscle efficiency, increasing injury risks, especially during high-impact movements. This study provides practical recommendations for training regimens to enhance muscle coordination and reduce the likelihood of lower limb injuries among basketball players.

References

1. Taylor, J. B., Hegedus, E. J., & Ford, K. R. (2020). Biomechanics of Lower Extremity Movements and Injury in Basketball. Basketball Sports Medicine and Science, 37-51.

2. Machino, K., Haden, M., & Verma, A. (2022). Basketball: Sport-Specific Injuries and Unique Mechanisms in Basketball. In Specific Sports-Related Injuries (pp. 35-49). Cham: Springer International Publishing.

3. Machino, K., Haden, M., & Verma, A. (2021). Sport-Specific Injuries and Unique Mechanisms in Basketball. Specific Sports-Related Injuries, 35.

4. Baek, S. Y. (2022). On Anterior Cruciate Ligament Injury: Biomechanical Studies of In Vitro Knee Kinematics and Bone Morphology (Doctoral dissertation).

5. Li, L. (2024). Effects of Vision and Cognitive Loads on Pre-Landing and Early Landing Mechanics Associated With Anterior Cruciate Ligament Loading (Doctoral dissertation, University of Wyoming).

6. Khan, M., Ekhtiari, S., Burrus, T., Madden, K., Rogowski, J. P., & Bedi, A. (2020). Impact of knee injuries on post-retirement pain and quality of life: a cross-sectional survey of professional basketball players. HSS Journal®, 16(2_suppl), 327-332.

7. Zhang, H. (2023). Analysis of College Basketball Injuries: Implications for Healthcare and Patient Well-being. Journal of Commercial Biotechnology, 28(2).

8. Howard, D. A. D. (2021). Making Moves: Black Performance and the Function of Aesthetics in American Basketball. University of California, Los Angeles.

9. Davis Howard, D. (2021). Making Moves: Black Performance and the Function of Aesthetics in American Basketball (Doctoral dissertation, UCLA).

10. Fonseca, M. C. (2020). Biomechanical Simulation of the Damage on the ACL in Injury-Related Movements (Master’s thesis, Universidade do Porto (Portugal)).

11. Santos, C. F., Bastos, R., Andrade, R., Pereira, R., Parente, M. P., Jorge, R. N., & Espregueira-Mendes, J. (2023). Revisiting the role of knee external rotation in non-contact ACL mechanism of injury. Applied Sciences, 13(6), 3802.

12. Abdelatif, N. M. (2023). Evaluation of Ankle Impingement. In The Art of the Musculoskeletal Physical Exam (pp. 547-562). Cham: Springer International Publishing.

13. Park, J. S., & Kadakia, A. R. (Eds.). (2020). Foot and Ankle Injuries and Treatment, An Issue of Clinics in Sports Medicine, E-Book (Vol. 39, No. 4). Elsevier Health Sciences.

14. Silva-García, S. (2024). BIOMECHANICAL ANALYSIS OF MOVEMENT IN HIGH IMPACT SPORTS AND ITS IMPLICATIONS FOR INJURY PREVENTION. Revista multidisciplinar de las Ciencias del Deporte, 24(96).

15. Chang, W., & Wang, Z. (2024). Biomechanics of athlete movement: kinematic analysis and injury prevention. Journal of Electrical Systems, 20(3), 1075-1084.

16. Indumathi Nallathambi, Padmaja Savaram, Sudhakar Sengan*, Meshal Alharbi, Samah Alshathri, Mohit Bajaj, Moustafa H. Aly and Walid El-Shafai, Impact of Fireworks Industry Safety Measures and Prevention Management System on Human Error Mitigation Using a Machine Learning Approach, Sensors, 2023, 23 (9), 4365; DOI:10.3390/s23094365.

17. Parkavi Krishnamoorthy, N. Satheesh, D. Sudha, Sudhakar Sengan, Meshal Alharbi, Denis A. Pustokhin, Irina V. Pustokhina, Roy Setiawan, Effective Scheduling of Multi-Load Automated Guided Vehicle in Spinning Mill: A Case Study, IEEE Access, 2023, DOI:10.1109/ACCESS.2023.3236843.

18. Ran Qian, Sudhakar Sengan, Sapna Juneja, English language teaching based on big data analytics in augmentative and alternative communication system, Springer-International Journal of Speech Technology, 2022, DOI:10.1007/s10772-022-09960-1.

19. Ngangbam Phalguni Singh, Shruti Suman, Thandaiah Prabu Ramachandran, Tripti Sharma, Selvakumar Raja, Rajasekar Rangasamy, Manikandan Parasuraman, Sudhakar Sengan, “Investigation on characteristics of Monte Carlo model of single electron transistor using Orthodox Theory”, Elsevier, Sustainable Energy Technologies and Assessments, Vol. 48, 2021, 101601, DOI:10.1016/j.seta.2021.101601.

20. Huidan Huang, Xiaosu Wang, Sudhakar Sengan, Thota Chandu, Emotional intelligence for board capital on technological innovation performance of high-tech enterprises, Elsevier, Aggression and Violent Behavior, 2021, 101633, DOI:10.1016/j.avb.2021.101633.

21. Sudhakar Sengan, Kailash Kumar, V. Subramaniyaswamy, Logesh Ravi, Cost-effective and efficient 3D human model creation and re-identification application for human digital twins, Multimedia Tools and Applications, 2021. DOI:10.1007/s11042-021-10842-y.

22. Prabhakaran Narayanan, Sudhakar Sengan*, Balasubramaniam Pudhupalayam Marimuthu, Ranjith Kumar Paulra, Novel Collision Detection and Avoidance System for Mid-vehicle Using Offset-Based Curvilinear Motion. Wireless Personal Communication, 2021. DOI:10.1007/s11277-021-08333-2.

23. Balajee Alphonse, Venkatesan Rajagopal, Sudhakar Sengan, Kousalya Kittusamy, Amudha Kandasamy, Rajendiran Periyasamy Modeling and multi-class classification of vibroarthographic signals via time domain curvilinear divergence random forest, J Ambient Intell Human Comput, 2021, DOI:10.1007/s12652-020-02869-0.

24. Omnia Saidani Neffati, Roy Setiawan, P Jayanthi, S Vanithamani, D K Sharma, R Regin, Devi Mani, Sudhakar Sengan*, An educational tool for enhanced mobile e-Learning for technical higher education using mobile devices for augmented reality, Microprocessors and Microsystems, Vol. 83, 2021, 104030, DOI:10.1016/j.micpro.2021.104030 .

25. Firas Tayseer Ayasrah, Nabeel S. Alsharafa, Sivaprakash S, Srinivasarao B, Sudhakar Sengan and Kumaran N, “Strategizing Low-Carbon Urban Planning through Environmental Impact Assessment by Artificial Intelligence-Driven Carbon Foot Print Forecasting”, Journal of Machine and Computing, Vol. 4, No. 04, 2024, doi: 10.53759/7669/jmc202404105.

26. Shaymaa Hussein Nowfal, Vijaya Bhaskar Sadu, Sudhakar Sengan*, Rajeshkumar G, Anjaneyulu Naik R, Sreekanth K, Genetic Algorithms for Optimized Selection of Biodegradable Polymers in Sustainable Manufacturing Processes, Journal of Machine and Computing, Vol. 4, No. 3, PP. 563-574, https://doi.org/10.53759/7669/jmc202404054.

27. Hayder M. A. Ghanimi, Sudhakar Sengan*, Vijaya Bhaskar Sadu, Parvinder Kaur, Manju Kaushik, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani & Pankaj Dadheech, An open-source MP + CNN + BiLSTM model-based hybrid model for recognizing sign language on smartphones. Int J Syst Assur Eng Manag (2024). https://doi.org/10.1007/s13198-024-02376-x

28. K. Bhavana Raj, Julian L. Webber, Divyapushpalakshmi Marimuthu, Abolfazl Mehbodniya, D. Stalin David, Rajasekar Rangasamy, Sudhakar Sengan, Equipment Planning for an Automated Production Line Using a Cloud System, Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565, pp 707–717, Springer, Singapore. DOI:10.1007/978-981-19-7455-7_57.

29. Lloyd, D. (2024). The future of in-field sports biomechanics: Wearables plus modelling compute real-time in vivo tissue loading to prevent and repair musculoskeletal injuries. Sports Biomechanics, 23(10), 1284-1312.

30. IMBESI, C. (2023). Estimation of ground reaction forces with applications for ecological monitoring of joint loading: a combined musculoskeletal and optimization based proof of concept.

31. Yu, H. (2023). The Curious Human Knee. Columbia University Press.

32. Thomas, C., Dos’ Santos, T., Comfort, P., & Jones, P. A. (2020). Effect of asymmetry on biomechanical characteristics during 180 change of direction. The Journal of Strength & Conditioning Research, 34(5), 1297-1306.

33. He, X. (2021). The Role of Muscle Strength, Muscle Elasticity and Muscle Coordination of Quadriceps and Hamstring in Dynamic Knee Stability after Anterior Cruciate Ligament Reconstruction (Doctoral dissertation, The Chinese University of Hong Kong (Hong Kong)).

34. Huygaerts, S., Cos, F., Cohen, D. D., Calleja-González, J., Guitart, M., Blazevich, A. J., & Alcaraz, P. E. (2020). Mechanisms of hamstring strain injury: interactions between fatigue, muscle activation and function. Sports, 8(5), 65.

Published
2024-11-21
How to Cite
Wang, W. (2024). Numerical simulation of lower limb forces during basketball pivot movements investigating injury prevention strategies. Molecular & Cellular Biomechanics, 21(3), 576. https://doi.org/10.62617/mcb576
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Article