Lower limb movement analysis of different skipping rope modes based on Opensim: A middle-aged demograrphic study

  • Congjiang Wang Civil Aviation Flight University of China, Guanghan 618307, China
Keywords: injury risks; biomechanical analysis; statistical analysis; motion capture system; muscle forces
Article ID: 190

Abstract

Introduction: Skipping rope is a popular exercise with various techniques. Understanding lower limb movement variance is crucial for optimizing performance and preventing injuries. Aim: To comprehensively analyze lower limb movement during different skipping rope modes using OpenSim, investigating biomechanical factors at the knee, ankle, and hip joints. The objective is to forcast the possible injuries and determines perception for optimizing the methods of exercise and analysis procedures. Method: The study analyze and evaluate the motions of lower limb in various rope skipping methods like boxer skip, single leg jumps, double-under and crossover jumps to comprehensively analyze the effects of biomechanical. In this research, we employed 56 participants and utilized the kinetic and kinematic data of motion capture model to obtain the data. Statistical analysis was performed to calculate the gathered data. Results: joint moment, joint flexion angle, muscle forces, and maximum joint flexion were thoroughly analyzed by OpenSim. In this research, important variations were examined in biomechanics in lower limb throughput various rope skipping methods. The double-under jumps determined the maximum hip and ankle forces of muscles comparison with other techniques and single leg jumps provided highest angles of knee bending. Boxer skip demonstrated the different types of joints motion and determining load variance mechanisms. Conclusion: The research emphasizes the significance by considering biomechanics in lower limb while demonstrating diverse rope skipping methods.

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Published
2024-11-15
How to Cite
Wang, C. (2024). Lower limb movement analysis of different skipping rope modes based on Opensim: A middle-aged demograrphic study. Molecular & Cellular Biomechanics, 21(3). https://doi.org/10.62617/mcb190
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Article