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Biomechanical Modeling of the Knee for Rehabilitation in Patients of Latacunga's Patronato


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DOI: https://doi.org/10.15866/ireaco.v15i3.22075

Abstract


This investigation carries out the biomechanical modeling of the knee with the purpose of contributing to rehabilitation therapies for patients who come to the Patronato of Latacunga, through a mathematical model that serves as initial support for the design and the construction of physiotherapy equipment, guaranteeing functionality, safety, and ergonomics to the patients. With the data from the anthropometric study of the population under study, the mathematical variables have been introduced to create a mathematical model with the help of MATLAB/Simulink tool with a focus on the modeling of physical systems, by taking the mechanical system as a biomechanical research because it acts on the bodies in a way that gives them movement, analyzing their laws, variables and elements. A bibliographic method has been used to collect the data, the analytical method to analyze data and variables and the experimental method through the simulation of the model, the developed model is perfectly adaptable to any person, by only changing the variables of the matrix.
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Keywords


Biomechanical Modeling; Simulink; Inertia Matrix; Knee Rehabilitation; Anthropometric

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References


Li, Z., Geng, L., Bing, H., Zhe. W., Yuzhou. Y., Jianbing. M., Pingping. W., (2020). Knee Joint Biomechanics in Physiological Conditions and How Pathologies Can Affect It: A Systematic Review. Applied Bionics and Biomechanics.
https://doi.org/10.1155/2020/7451683

Zhang, K., De Silva, C. W., and Fu, C. (2019). Sensor Fusion for Predictive Control of Human Prosthesis-Environment Dynamics in Assistive Walking: A Survey, arXiv.

Zainal, N., Abdul, M., Hanif, M. (2019). Three Dimensional Finite Element Modelling and Analysis of Human Knee Joint-Model Verification. IOPScience. Journal of Physics: International Conference on Biomedical Engineering (ICoBE).

Biomechanical analysis and simulation of the prosthetic knee. (2014). Second International Conference on Advanced Mechatronics, Design, and Manufacturing Technology - AMDM.

Inkol, K. A., and McPhee, J., (2020). Assessing Control of Fixed-Support Balance Recovery in Wearable Lower-Limb Exoskeletons Using Multibody Dynamic Modelling, in 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), New York City, NY, USA, pp. 54-60.
https://doi.org/10.1109/BioRob49111.2020.9224430

Chen, H. C., Wu, C. H., Wang, C. K., & Lin, C. J. (2014). A Joint-Constraint Model-Based System for Reconstructing Total Knee Motion. IEEE Transactions on Biomedical Engineering, vol. 61, n° 1, pp. 171-180.
https://doi.org/10.1109/TBME.2013.2278780

Guardiola, D. (2015). MatLab modeling of transtibial prosthesis. Universidad Distrital Francisco José de Caldas ISSN 1692-8407: Tekhnê Magazine, Vol. 12, No. 2, pp. 13- 22

Aftab, Z. (2017). Simulating a wearable lower-body exoskeleton device for torque and power estimation. IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids) Birmingham, UK.
https://doi.org/10.1109/HUMANOIDS.2017.8246906

Krausz, N. E. and Hargrove, L. J., (2019). A Survey of Teleceptive Sensing for Wearable Assistive Robotic Devices, Sensors, vol. 19, no. 23, p. 5238.
https://doi.org/10.3390/s19235238

Laschowski, B., McNally, W., Wong, A., and McPhee, J., (2021), Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons, in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, pp. 4631-4635.
https://doi.org/10.1109/EMBC46164.2021.9630064

Chen, J., Damiano, D. L., Lerner, Z. F., and Bulea. T. C. (2019). Validating Model-Based Prediction Of Biological Knee Moment During Walking With An Exoskeleton in Crouch Gait: Potential Application for Exoskeleton Control, 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), pp. 778-783.
https://doi.org/10.1109/ICORR.2019.8779513

Vantilt, J., et al., (2019), Model-Based Control for Exoskeletons with Series Elastic Actuators Evaluated on Sit-to-Stand Movements, J. NeuroEngineering Rehabil., vol. 16, no. 1, p. 65.
https://doi.org/10.1186/s12984-019-0526-8

Sawicki, G. S., et al. (2020). The exoskeleton expansion: Improving walking and running economy, J. Neuroeng. Rehabil., vol. 17, no. 1, pp. 25.
https://doi.org/10.1186/s12984-020-00663-9

Karadshed. M., (2021). Knee Biomechanics.
https://www.orthobullets.com/recon/9065/knee-biomechanics

Fan, B., Li, Q., Tan, T., Kang, P., and Shull, P. B., (2022). Effects of IMU Sensor-to-Segment Misalignment and Orientation Error on 3-D Knee Joint Angle Estimation, in IEEE Sensors Journal, vol. 22, no. 3, pp. 2543-2552.
https://doi.org/10.1109/JSEN.2021.3137305

Chávez, M., Rodríguez, F., López, A., (2018). Exoskeletons to enhance human capabilities and support rehabilitation. Journal Biomedical Engineering, ISSN 1909-9762, Vol. 4. No. 7. Medellín.

Séguin, É., and Doumit, M., (2020). Review and Assessment of Walking Assist Exoskeleton Knee Joints, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1230-1235.
https://doi.org/10.1109/SMC42975.2020.9283152

Chu, K. H. (2005). On the biomimetic design of the Berkeley Lower Extremity Exoskeleton . IEEE International Conference on Robotics and Automation. Barcelona Spain.
https://doi.org/10.1109/ROBOT.2005.1570789

Laschowski, B. (2021). Energy Regeneration and Environment Sensing for Robotic Leg Prostheses and Exoskeletons. PhD Dissertation. University of Waterloo.
http://hdl.handle.net/10012/17816

Abu El Kasem, S.T., Aly, S.M., Kamel, E.M. et al. (2020). Normal active range of motion of lower extremity joints of the healthy young adults in Cairo, Egypt. Bull Fac Phys Ther 25, 2 (2020).
https://doi.org/10.1186/s43161-020-00005-9

Roulet, S., Williot, A., Mazaleyrat, M., Marteau, E. (2021). Comparison of subjective outcomes of Darrach and Sauvé-Kapandji procedures at a minimum 2 years. Orthopaedics & Traumatology: Surgery & Research, Volume 107, Issue 5, ISSN 1877-0568.
https://doi.org/10.1016/j.otsr.2021.102974

Yue, S. Y. et al. (2019). Design and control of a high-torque and highly backdrivable hybrid soft exoskeleton for knee injury prevention during squatting, IEEE Robot. Autom. Lett., vol. 4, no. 4, pp. 4579-4586
https://doi.org/10.1109/LRA.2019.2931427

Laschowski, B., Razavian, R. S., and McPhee, J., (2021). Simulation of Stand-to-Sit Biomechanics for Robotic Exoskeletons and Prostheses With Energy Regeneration, in IEEE Transactions on Medical Robotics and Bionics, vol. 3, no. 2, pp. 455-462.
https://doi.org/10.1109/TMRB.2021.3058323

Raz, D., Bolıvar-Nieto, E., Ozay, N., and Gregg, R. D., (2021), Toward Phase-Variable Control of Sit-to Stand Motion with a Powered Knee-Ankle Prosthesis, in IEEE Conference on Control Technology and Applications (CCTA), San Diego, CA, USA, p. 7.
https://doi.org/10.1109/CCTA48906.2021.9658844

MacLean, M. K. and Ferris, D. P., (2019). Energetics of walking with a robotic knee exoskeleton, J. Appl. Biomech., vol. 35, no. 5, pp. 320-326
https://doi.org/10.1123/jab.2018-0384

Huston, R. (2009). Principles of Biomechanics. Boca Raton: CRC Press.

Setiawan, J., Ariyanto, M., Nugroho, S., Munadi, M., Ismail, R., A Soft Exoskeleton Glove Incorporating Motor-Tendon Actuator for Hand Movements Assistance, (2020) International Review of Automatic Control (IREACO), 13 (1), pp. 1-11.
https://doi.org/10.15866/ireaco.v13i1.18274


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