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Journal articles on the topic 'Human musculoskeletal system'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Wang, Ligong, та Ravinder R. Regatte. "T1ρMRI of human musculoskeletal system". Journal of Magnetic Resonance Imaging 41, № 3 (2014): 586–600. http://dx.doi.org/10.1002/jmri.24677.

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Wei, Gao Feng, Feng Tian, and Cheng Tao Wang. "Study on Human Musculoskeletal Biomechanics Based on China Digital Human Project." Applied Mechanics and Materials 110-116 (October 2011): 5131–35. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.5131.

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Modeling and simulating of human musculoskeletal system is an important and challenging problem. This paper is aimed to build a computational platform to conquer this problem based on the China digital human project. First the 3D anatomical models of human musculoskeletal system were reconstructed and integrated. Second, the finite element models of human skeleton system were built. In the end, a computational platform, which integrated the models and six related analysis modules, was developed to model and simulate human musculoskeletal system. A case study of subject’s gait was implemented t

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Wei, Gaofeng, Xudong Yu, and Qiushi Ren. "A NOVEL METHOD TO EVALUATE HUMAN LOCOMOTION ABILITY BASED ON THE FINITE ELEMENT MODELING AND SIMULATION OF MUSCULOSKELETAL SYSTEM." Biomedical Engineering: Applications, Basis and Communications 27, no. 01 (2015): 1550010. http://dx.doi.org/10.4015/s1016237215500106.

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A novel method based on the finite element modeling and simulation of human musculoskeletal system was proposed to evaluate the human locomotion ability in this paper. Biomechanical models that compute muscle forces and human joint forces are broadly applicable to the study of factors that promote human musculoskeletal injury and optimize musculoskeletal motion planning. However, it is still difficult to acquire the biomechanical characteristics of human skeletal system in vivo. Especially, there is little research about the biomechanical modeling and simulation of the entire human skeletal sy

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Creehan, Kevin D., and Bopaya Bidanda. "Computer-aided reverse engineering of the human musculoskeletal system." Virtual and Physical Prototyping 1, no. 2 (2006): 83–91. http://dx.doi.org/10.1080/17452750600648478.

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Kim, Kyungsoo, Yoon Hyuk Kim, and SuKyoung Lee. "General Computational Model for Human Musculoskeletal System of Spine." Journal of Applied Mathematics 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/484759.

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A general computational model of the human lumbar spine and trunk muscles including optimization formulations was provided. For a given condition, the trunk muscle forces could be predicted considering the human physiology including the follower load concept. The feasibility of the solution could be indirectly validated by comparing the compressive force, the shear force, and the joint moment. The presented general computational model and optimization technology can be fundamental tools to understand the control principle of human trunk muscles.

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Carrier, D., N. Heglund, and K. Earls. "Variable gearing during locomotion in the human musculoskeletal system." Science 265, no. 5172 (1994): 651–53. http://dx.doi.org/10.1126/science.8036513.

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MORIWAKI, Yu, Nobuo SAKAI, Yoshinori SAWAE, and Teruo MURAKAMI. "Development of Forearm Models Based on Human Musculoskeletal System." Journal of Biomechanical Science and Engineering 4, no. 1 (2009): 153–64. http://dx.doi.org/10.1299/jbse.4.153.

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Dao, Tien Tuan. "RIGID MUSCULOSKELETAL MODELS OF THE HUMAN BODY SYSTEMS: A REVIEW." Journal of Musculoskeletal Research 19, no. 03 (2016): 1630001. http://dx.doi.org/10.1142/s0218957716300015.

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Advancing the knowledge of the biomechanics of the human body is essential to improve the clinical decision-makings of musculoskeletal disorders in the framework of in silico medicine. An impressive number of research projects focused on the development of rigid-body musculoskeletal models have been conducted over the world thanks to the new research directives. However, the application of these models in clinical practices remains a challenging issue. The objective of this review paper was to present the most current rigid-body musculoskeletal models of the human body systems and to analyze t

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Mammadiyev, Navruzbek Mengdobilovich, and Nargiz Eshqobilovna Xudoynazarova. "REHABILITATION MEASURES IN DISEASES OF THE MUSCULOSKELETAL SYSTEM." МЕДИЦИНА, ПЕДАГОГИКА И ТЕХНОЛОГИЯ: ТЕОРИЯ И ПРАКТИКА 2, no. 2 (2024): 252–56. https://doi.org/10.5281/zenodo.10672908.

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Yamano, Hiroko, Shu Liu, and Fujio Toriumi. "Hypergraph modeling of complex interactions: Applications from human musculoskeletal structures to complex system dynamics." PLOS ONE 19, no. 11 (2024): e0310189. http://dx.doi.org/10.1371/journal.pone.0310189.

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The musculoskeletal network is a complex system of different types of nodes and edges interacting with each other. Although there is a wealth of knowledge about the anatomical components of the human body and the connections between them, the interdependence of these components as a system remains largely unexplored. This study aims to understand the structure of musculoskeletal networks by using hypergraphs as a model of the musculoskeletal system with many-to-many connections. We used both pairwise and hypergraph-based embedding methods to learn the connectivity of muscles. Experiments demon

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Akhtaruzzaman, M., A. A. Shafie, and M. R. Khan. "A REVIEW ON LOWER APPENDICULAR MUSCULOSKELETAL SYSTEM OF HUMAN BODY." IIUM Engineering Journal 17, no. 1 (2016): 83–102. http://dx.doi.org/10.31436/iiumej.v17i1.571.

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Rehabilitation engineering plays an important role in designing various autonomous robots to provide better therapeutic exercise to disabled patients. Hence it is necessary to study human musculoskeletal system and also needs to be presented in scientific manner in order to describe and analyze the biomechanics of human body motion. This review focuses on lower appendicular musculoskeletal structure of human body to represent joints and links architectures; to identify muscle attachments and functions; and to illustrate muscle groups which are responsible for a particular joint movement. First

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Gupta, Suwalal, Lakshita Sharma, Anita Bochalya, Lahange Sandeep Madhukar, Vikash Bhatnagar, and Bhangare Archana Nivrutti. "ANATOMICAL STUDY OF MUSCULOSKELETAL COMPONENTS DESCRIBED IN SUSHRUT SAMHITA AND ITS APPLIED ASPECT IN CHIKITSA." International Ayurvedic Medical Journal 12, no. 11 (2024): 1948–54. https://doi.org/10.46607/iamj0312112024.

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The human body is a complex organism, the gross mechanical properties of which are enabled by an intercon-nected musculoskeletal network controlled by the nervous system. The nature of musculoskeletal interconnection facilitates stability, voluntary movements, and robustness to injury. It is also known as the locomotor system and was previously known as the activity system. The skeleton is the structure that gives us shape and protects our internal organs. It offers a supportive framework for the attachment of muscles to facilitate movement. Our bones also act as a site for the production of b

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Weidner, Robert, Tobias Meyer, Andreas Argubi-Wollesen, and Jens P. Wulfsberg. "Towards a Modular and Wearable Support System for Industrial Production." Applied Mechanics and Materials 840 (June 2016): 123–31. http://dx.doi.org/10.4028/www.scientific.net/amm.840.123.

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Despite the increasing degree of automation many tasks are still performed manually, especially in production of individualized, sensitive or quality critical products. These tasks, e.g. tasks in or above head level, are often non ergonomic. Thus musculoskeletal diseases can occur. This paper presents a novel concept for a modular and wearable technical support system for reducing musculoskeletal stress. The support system which is based on the approach of Human Hybrid Robot (HHR) can be adapted easily to different users and activities. The system emphasizes on modularity and the use of soft m

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Nazarov, Sobir Usmonovich. "THE POSITIVE EFFECT OF SWIMMING ON THE MOVEMENT SYSTEM." CURRENT RESEARCH JOURNAL OF PEDAGOGICS 02, no. 10 (2021): 220–25. http://dx.doi.org/10.37547/pedagogics-crjp-02-10-40.

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The article discusses the positive effects of swimming on the human body. In particular, the effects of butterfly, brass, crawl methods on the musculoskeletal system, increased resistance to diseases of acute respiratory viral infections, improvement of the functional state of the body were discussed.

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KAYO, Munehiro, and Yoshiaki OHKAMI. "Structural Modeling of the Human Musculoskeletal System for Exercise Therapy." TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 79, no. 803 (2013): 2273–85. http://dx.doi.org/10.1299/kikaic.79.2273.

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Voloshin, Arkady S., Joseph Mizrahi, Oleg Verbitsky, and Eli Isakov. "Dynamic loading on the human musculoskeletal system —effect of fatigue." Clinical Biomechanics 13, no. 7 (1998): 515–20. http://dx.doi.org/10.1016/s0268-0033(98)00030-8.

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Voloshin, Arkady S. "Propagation of impulsive shock waves in the human musculoskeletal system." Journal of Biomechanics 22, no. 10 (1989): 1095. http://dx.doi.org/10.1016/0021-9290(89)90499-5.

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Carvalho, André, and Afzal Suleman. "Multibody simulation of the musculoskeletal system of the human hand." Multibody System Dynamics 29, no. 3 (2012): 271–88. http://dx.doi.org/10.1007/s11044-012-9325-8.

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Jonkers, Ilse, Walter Dingemanse, Benedicte Vanwanseele, et al. "Musculoskeletal modelling in dogs: challenges and future perspectives." Veterinary and Comparative Orthopaedics and Traumatology 29, no. 03 (2016): 181–87. http://dx.doi.org/10.3415/vcot-15-08-0133.

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SummaryMusculoskeletal models have proven to be a valuable tool in human orthopaedics research. Recently, veterinary research started taking an interest in the computer modelling approach to understand the forces acting upon the canine musculoskeletal system. While many of the methods employed in human musculoskeletal models can applied to canine musculoskeletal models, not all techniques are applicable. This review summarizes the important parameters necessary for modelling, as well as the techniques employed in human musculoskeletal models and the limitations in transferring techniques to ca

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Cappozzo *, A., V. Camomilla, U. Della Croce, et al. "Musculoskeletal system modelling for the evaluation of motor disability." Theoretical Issues in Ergonomics Science 6, no. 3-4 (2005): 319–24. http://dx.doi.org/10.1080/14639220412331329654.

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Osada, Masahiko, Hironori Mizoguchi, Yuki Asano, et al. "Application of “Planar Muscle” with Soft Skin-Like Outer Function Suitable for Musculoskeletal Humanoid." Journal of Robotics and Mechatronics 24, no. 6 (2012): 1080–88. http://dx.doi.org/10.20965/jrm.2012.p1080.

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In recent years, human-like robots have received a lot of attentions. A musculoskeletal humanoid is an effective approach for making a human-like robot, and many musculoskeletal humanoids have been developed. However, none have been equipped with really human-like bones and muscles, especially shapes and alignments. Formaking really human-like musculoskeletal humanoids, we thought of the “planar muscle” as the key. A planar muscle is an enhanced wiredriven system in which a motor winds a wire. In a prior system, one motor controlled one wire and the linear muscle needed one motor per wire and

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Egereonu, Sunny, Nnanna Ekedebe, Anthony Otuonye, Chukwuemeka Etus, Emmanuel Amadi, and Ubaezue Egereonu. "Development of an Expert System for Diagnosing Musculoskeletal Disease." International Journal of Intelligent Information Systems 13, no. 4 (2024): 78–93. http://dx.doi.org/10.11648/j.ijiis.20241304.12.

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Musculoskeletal diseases (MSDs), encompasses various conditions affecting muscles, bones, tendons, ligaments, and joints, resulting to pain, inflammation, and limited mobility, significantly impacting individuals&apos; quality of life. Diagnosing these diseases poses a challenge for healthcare professionals due to symptom similarities with other conditions. To address this, the development of expert systems tailored for musculoskeletal diagnosis has emerged as a promising approach to enhance clinical decision-making and improve patient outcomes. This study aims at developing and evaluating

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Della Posta, Daniele, Jacopo Junio Valerio Branca, Giulia Guarnieri, Cristiana Veltro, Alessandra Pacini, and Ferdinando Paternostro. "Modularity of the Human Musculoskeletal System: The Correlation between Functional Structures by Computer Tools Analysis." Life 12, no. 8 (2022): 1186. http://dx.doi.org/10.3390/life12081186.

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Introduction: For many years, anatomical studies have been conducted with a shattered view of the body. Although the study of the different apparatuses provides a systemic view of the human body, the reconstruction of the complex network of anatomical structures is crucial for the understanding of structural and functional integration. Aim: We used network analysis to investigate the connection between the whole-body osteo-myofascial structures of the human musculoskeletal system. Materials and Methods: The musculoskeletal network was performed using the aNETomy® anatomical network with the im

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Roy, Jean-Sébastien, Laurent J. Bouyer, Pierre Langevin, and Catherine Mercier. "Beyond the Joint: The Role of Central Nervous System Reorganizations in Chronic Musculoskeletal Disorders." Journal of Orthopaedic & Sports Physical Therapy 47, no. 11 (2017): 817–21. http://dx.doi.org/10.2519/jospt.2017.0608.

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To a large extent, management of musculoskeletal disorders has traditionally focused on structural dysfunctions found within the musculoskeletal system, mainly around the affected joint. While a structural-dysfunction approach may be effective for musculoskeletal conditions in some populations, especially in acute presentations, its effectiveness remains limited in patients with recurrent or chronic musculoskeletal pain. Numerous studies have shown that the human central nervous system can undergo plastic reorganizations following musculoskeletal disorders; however, they can be maladaptive and

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Chao, E. Y. S., J. D. Lynch, and M. J. Vanderploeg. "Simulation and Animation of Musculoskeletal Joint System." Journal of Biomechanical Engineering 115, no. 4B (1993): 562–68. http://dx.doi.org/10.1115/1.2895541.

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This paper describes the development of computer-based software for three-dimensional geometric data base of the human musculoskeletal system. Using a computer graphics workstation, a user of the software will interactively display detailed information about the muscles, tendons, ligaments, bone, and joint anatomy. This software will enable a wide range of health care workers to viualize complex physiological data. In addition to geometric and visual realism, this software will include kinematic relationships which allow the calculation and display of the motion and forces of the joints, muscl

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Park, Wonbin, Ge Gao, and Dong-Woo Cho. "Tissue-Specific Decellularized Extracellular Matrix Bioinks for Musculoskeletal Tissue Regeneration and Modeling Using 3D Bioprinting Technology." International Journal of Molecular Sciences 22, no. 15 (2021): 7837. http://dx.doi.org/10.3390/ijms22157837.

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The musculoskeletal system is a vital body system that protects internal organs, supports locomotion, and maintains homeostatic function. Unfortunately, musculoskeletal disorders are the leading cause of disability worldwide. Although implant surgeries using autografts, allografts, and xenografts have been conducted, several adverse effects, including donor site morbidity and immunoreaction, exist. To overcome these limitations, various biomedical engineering approaches have been proposed based on an understanding of the complexity of human musculoskeletal tissue. In this review, the leading e

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Sahrmann, Shirley A. "The Human Movement System: Our Professional Identity." Physical Therapy 94, no. 7 (2014): 1034–42. http://dx.doi.org/10.2522/ptj.20130319.

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The 2013 House of Delegates of the American Physical Therapy Association adopted a vision statement that addresses the role of physical therapy in transforming society through optimizing movement. The accompanying guidelines address the movement system as key to achieving this vision. The profession has incorporated movement in position statements and documents since the early 1980s, but movement as a physiological system has not been addressed. Clearly, those health care professions identified with a system of the body are more easily recognized for their expertise and role in preventing, dia

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Sun, Tianze, Jinzuo Wang, Moran Suo, et al. "The Digital Twin: A Potential Solution for the Personalized Diagnosis and Treatment of Musculoskeletal System Diseases." Bioengineering 10, no. 6 (2023): 627. http://dx.doi.org/10.3390/bioengineering10060627.

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Due to the high prevalence and rates of disability associated with musculoskeletal system diseases, more thorough research into diagnosis, pathogenesis, and treatments is required. One of the key contributors to the emergence of diseases of the musculoskeletal system is thought to be changes in the biomechanics of the human musculoskeletal system. However, there are some defects concerning personal analysis or dynamic responses in current biomechanical research methodologies. Digital twin (DT) was initially an engineering concept that reflected the mirror image of a physical entity. With the a

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Johansen, Julia S., Poul E. Høyer, Lars A. Larsen, Paul A. Price, and Kjeld Møllgård. "YKL-40 Protein Expression in the Early Developing Human Musculoskeletal System." Journal of Histochemistry & Cytochemistry 55, no. 12 (2007): 1213–28. http://dx.doi.org/10.1369/jhc.7a7245.2007.

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ITO, Tsuyoshi, Yoshihiko TAGAWA, and Naoto SHIBA. "Maintenance and strengthening of human body musculoskeletal system in weightless environment." Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2004.16 (2004): 303–4. http://dx.doi.org/10.1299/jsmebio.2004.16.303.

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Voloshin, Arkady S. "Effect of fatigue on the attenuational capacity of human musculoskeletal system." Journal of Biomechanics 27, no. 6 (1994): 708. http://dx.doi.org/10.1016/0021-9290(94)91092-8.

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VAN DEN BOGERT, ANTON J. "Analysis and Simulation of Mechanical Loads on the Human Musculoskeletal System." Exercise and Sport Sciences Reviews 22, no. 1 (1994): 23–52. http://dx.doi.org/10.1249/00003677-199401000-00004.

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Sartori, Massimo. "Advancing Wearable Robotics for Shaping the Human Musculoskeletal System [Young Professionals]." IEEE Robotics & Automation Magazine 30, no. 3 (2023): 164–65. http://dx.doi.org/10.1109/mra.2023.3293338.

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S, Shilpa. "A Study To Assess The Effectiveness Of Structured Teaching Programme In Terms Of Knowledge Regarding Prevention Of Work Related Musculoskeletal Disorders Among Computer Employees In A Selected Office Of Delhi With A View To Disseminate An Information Booklet." IOSR Journal of Nursing and health Science 14, no. 1 (2025): 78–86. https://doi.org/10.9790/1959-1401017886.

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Background: The human musculoskeletal system (also known as the human locomotor system, and previously the activity system) is an organ system that gives humans the ability to move using their muscular and skeletal systems. The musculoskeletal system provides form, support, stability, and movement to the body. It is made up of the bones of the skeleton, muscles, cartilage, tendons, ligaments, joints, and other connective tissue that supports and binds tissues and organs together. The musculoskeletal system's primary functions include supporting the body, allowing motion, and protecting vital o

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De Groote, Friedl, and Antoine Falisse. "Perspective on musculoskeletal modelling and predictive simulations of human movement to assess the neuromechanics of gait." Proceedings of the Royal Society B: Biological Sciences 288, no. 1946 (2021): 20202432. http://dx.doi.org/10.1098/rspb.2020.2432.

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Locomotion results from complex interactions between the central nervous system and the musculoskeletal system with its many degrees of freedom and muscles. Gaining insight into how the properties of each subsystem shape human gait is challenging as experimental methods to manipulate and assess isolated subsystems are limited. Simulations that predict movement patterns based on a mathematical model of the neuro-musculoskeletal system without relying on experimental data can reveal principles of locomotion by elucidating cause–effect relationships. New computational approaches have enabled the

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Kataev, M. Yu, N. G. Kataeva, and R. A. Chernov. "Assessment of Human Walking Parameters with Two Accelerometers." Proceedings of Tomsk State University of Control Systems and Radioelectronics 24, no. 2 (2021): 51–55. http://dx.doi.org/10.21293/1818-0442-2021-24-2-51-55.

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Movement is an integral part of a human activity. Maintaining human’s health or doing sports, for example, requires an accurate assessment of a person's physical activity, and especially the way the person moves (gait). The natural age-related changes or diseases cause a disfunction of the musculoskeletal system, and limits human movement. Traditionally, the medical diagnostics consists in examination of a person in a static position or with a minimum level of movement. This article proposes a solution to the problem of assessing the parameters of a person's walking using several accelerometer

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Shpakov, Alexey Vasilievich, Anton Anatolievich Artamonov, Andrey Vladimirivich Voronov, Evgeni V. Plotnikov, Alina Alexandrovna Puchkova, and Dmitry Olegovich Orlov. "Human Locomotion Strategies Under Changed Bodyweight Support." Aerospace Medicine and Human Performance 92, no. 1 (2021): 4–10. http://dx.doi.org/10.3357/amhp.5609.2021.

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INTRODUCTION: The aim of this study was the analysis of human musculoskeletal system energy costs of normal walking and walking under reduced weight loading.METHODS: There were 15 subjects who participated in the study. We analyzed the biomechanical parameters of walking under different musculoskeletal system loads. The subjects walked on a treadmill at a pace of 90 steps/min under various loading conditions: 1) 100% bodyweight loading, corresponding to the terrestrial surface; 2) 38% bodyweight loading, corresponding to the surface of Mars; and 3) 17% bodyweight loading, corresponding to the

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Diab, Santiago S., Susan M. Stover, Francisco Carvallo, et al. "Diagnostic approach to catastrophic musculoskeletal injuries in racehorses." Journal of Veterinary Diagnostic Investigation 29, no. 4 (2017): 405–13. http://dx.doi.org/10.1177/1040638716685598.

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Catastrophic musculoskeletal injuries are the most common cause of euthanasia or spontaneous death in racehorses, and the most common cause of jockey falls with potential for serious human injury. Horses are predisposed to the vast majority of these injuries by preexisting lesions that can be prevented by early diagnosis and adequate bone injury management. A thorough examination of the musculoskeletal system in racehorses often determines the cause of these injuries and generates data to develop injury prevention strategies. We describe the diagnostic approach to musculoskeletal injury, revie

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Kuta, Łukasz, Roman Stopa, Piotr Komarnicki, Monika Słupska, and Kamil Górecki. "Determination of Permissible Load in Selected Parts of the Human Musculoskeletal System While Feeding Cows with Maize Silage." Applied Sciences 10, no. 20 (2020): 7125. http://dx.doi.org/10.3390/app10207125.

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Farmers belong to the group of high risk in terms of developing work-related musculoskeletal disorders. A series of tasks, which are often performed in an uncomfortable position, loads exceeding farmers’ physical abilities, as well as high repetition of work movements, all contribute significantly to the development of irreversible changes in the musculoskeletal system. Taking into account the above-mentioned circumstances, this study aimed at workload assessment expressed in maximal voluntary contraction (%MVC) while delivering dairy-cattle feed. In the initial phase of this study, a question

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Taiar, Redha. "Editorial to the Special Issue “Human Bodywork: Applications in Health, Disease, and Rehabilitation”." Biology 12, no. 3 (2023): 451. http://dx.doi.org/10.3390/biology12030451.

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Piróg, Katarzyna A., and Michael D. Briggs. "Skeletal Dysplasias Associated with Mild Myopathy—A Clinical and Molecular Review." Journal of Biomedicine and Biotechnology 2010 (2010): 1–13. http://dx.doi.org/10.1155/2010/686457.

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Musculoskeletal system is a complex assembly of tissues which acts as scaffold for the body and enables locomotion. It is often overlooked that different components of this system may biomechanically interact and affect each other. Skeletal dysplasias are diseases predominantly affecting the development of the osseous skeleton. However, in some cases skeletal dysplasia patients are referred to neuromuscular clinics prior to the correct skeletal diagnosis. The muscular complications seen in these cases are usually mild and may stem directly from the muscle defect and/or from the altered interac

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Juliana, Norsham, Liyana Azmi, Nadia Mohd Effendy, et al. "Effect of Circadian Rhythm Disturbance on the Human Musculoskeletal System and the Importance of Nutritional Strategies." Nutrients 15, no. 3 (2023): 734. http://dx.doi.org/10.3390/nu15030734.

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The circadian system in the human body responds to daily environmental changes to optimise behaviour according to the biological clock and also influences various physiological processes. The suprachiasmatic nuclei are located in the anterior hypothalamus of the brain, and they synchronise to the 24 h light/dark cycle. Human physiological functions are highly dependent on the regulation of the internal circadian clock. Skeletal muscles comprise the largest collection of peripheral clocks in the human body. Both central and peripheral clocks regulate the interaction between the musculoskeletal

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WAGNER, HEIKO, PETER GIESL, and REINHARD BLICKHAN. "MUSCULOSKELETAL STABILIZATION OF THE ELBOW — COMPLEX OR REAL." Journal of Mechanics in Medicine and Biology 07, no. 03 (2007): 275–96. http://dx.doi.org/10.1142/s0219519407002340.

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Both sensory information and mechanical properties of the musculoskeletal system are necessary for fast and appropriate reactions of humans and animals to environmental perturbations. In this paper, we focus on the musculoskeletal system and study the stability of a human elbow in an equilibrium state. We derive a biomechanical model of the human elbow, including an antagonistic pair of muscles, and investigate the stability analytically based on the theory of Ljapunov. Depending on the elbow angle and the level of coactivation, we obtain the following three qualitatively different behaviors:

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Tahir, Abdullah, Shaoping Bai, and Ming Shen. "A Wearable Multi-Modal Digital Upper Limb Assessment System for Automatic Musculoskeletal Risk Evaluation." Sensors 23, no. 10 (2023): 4863. http://dx.doi.org/10.3390/s23104863.

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Continuous ergonomic risk assessment of the human body is critical to avoid various musculoskeletal disorders (MSDs) for people involved in physical jobs. This paper presents a digital upper limb assessment (DULA) system that automatically performs rapid upper limb assessment (RULA) in real-time for the timely intervention and prevention of MSDs. While existing approaches require human resources for computing the RULA score, which is highly subjective and untimely, the proposed DULA achieves automatic and objective assessment of musculoskeletal risks using a wireless sensor band embedded with

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De Oliveira, Felipe Alves, Renan Nogueira Chemin, and Rafael Bringe Freitas. "Biomechanical modifications of the musculoskeletal system: the stepping stone towards human evolution." Brazilian Journal of Health Review 7, no. 2 (2024): e67729. http://dx.doi.org/10.34119/bjhrv7n2-005.

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The evolutionary sequence of our ape ancestors resulted in a series of morphologic, developmental, physiologic, and behavioral changes in the human body. In this sense, no other system underwent such deep changes in the development of the human species as the musculoskeletal system. This article aims to understand how bones, muscles, and other soft tissues have evolved around the hip, limbs, and spine in the human lineage, and how this can be helpful to better understand injuries by overuse patterns.

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Spahić, Denis. "BIOMECHANICAL ANALYSIS OF THE SQUAT MOTION IN THE ANYBODY MODELING SYSTEM." Mašinstvo 12, no. 2 (2015): 31–38. https://doi.org/10.62456/jmem.2015.02.031.

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&lt;p style=&quot;text-align: justify;&quot;&gt;This paper reviews The AnyBody Modeling System, designed for virtual modelling and biomechanical analysis of different musculoskeletal systems. On the example of human body musculoskeletal model, capabilities and several features of the AnyBody System are presented. An example of a full-body model doing a squat motion, with and without additional weight, is analysed, where individual forces in the quadriceps muscles, muscle activity of the upper body, as well as the reaction forces in the hip joint are obtained.&lt;/p&gt;

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Aboushaala, Khaled, Arnold Y. L. Wong, Juan Nicolas Barajas, et al. "The Human Microbiome and Its Role in Musculoskeletal Disorders." Genes 14, no. 10 (2023): 1937. http://dx.doi.org/10.3390/genes14101937.

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Musculoskeletal diseases (MSDs) are characterized as injuries and illnesses that affect the musculoskeletal system. MSDs affect every population worldwide and are associated with substantial global burden. Variations in the makeup of the gut microbiota may be related to chronic MSDs. There is growing interest in exploring potential connections between chronic MSDs and variations in the composition of gut microbiota. The human microbiota is a complex community consisting of viruses, archaea, bacteria, and eukaryotes, both inside and outside of the human body. These microorganisms play crucial r

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Ohkami, Yoshiaki, and Munehiro Kayo. "Systems Approach for Integration of Medicine and Therapy to Alleviate Pain of Human Musculoskeletal System." INCOSE International Symposium 29, S1 (2019): 454–64. http://dx.doi.org/10.1002/j.2334-5837.2019.00699.x.

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Rehorek, Susan, Paul Falso, and Justin Siebert. "Using Paper Models to Teach Basic Concepts of the Human Musculoskeletal System." HAPS Educator 23, no. 3 (2019): 488–98. http://dx.doi.org/10.21692/haps.2019.026.

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Патрина, Т. А., and T. A. Patrina. "Decision Support System at Diagnostics and Treatment of a Human Musculoskeletal Device." Mathematical Biology and Bioinformatics 7, no. 1 (2012): 257–65. http://dx.doi.org/10.17537/2012.7.257.

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