Modeling and simulation of musculoskeletal system of human lower limb based on tensegrity structure
- 01Researchers created a tensegrity-based computer model of the lower limb
- 02The model simulated walking to analyze gait and muscle stress
- 03Simulation results closely matched real-world walking data
- 04This validates the model's accuracy for biomechanical study
A computer model based on tensegrity principles can accurately simulate human walking, validating this approach for studying lower limb biomechanics.
In this paper, a mechanical model of the skeletal muscle of human lower limb system is established by using the Hill muscle model and kinetic equation of the movement of lower extremities according to the attachment positions of skeletal muscle. State vector and neural control are delineated by the direct configuration method. Changes of gait and skeletal muscle stress during walking process are analyzed with energy consumption as objective function. Results illustrate that simulation data are in good agreement with actual walking gait data. Feasibility and correctness of the designed model and control behavior of skeletal muscle tension structure are also verified.
- APA
- Zhanxi Wang, Chaoran Yang, Kang Feng, & Xiansheng Qin (2019). Modeling and simulation of musculoskeletal system of human lower limb based on tensegrity structure. https://fasciaresearchdatabase.com/modeling-and-simulation-of-musculoskeletal-system-of-human-lower-limb-based-on-tensegrity-structure/
- MLA
- Zhanxi Wang, et al. "Modeling and simulation of musculoskeletal system of human lower limb based on tensegrity structure." 2019, https://fasciaresearchdatabase.com/modeling-and-simulation-of-musculoskeletal-system-of-human-lower-limb-based-on-tensegrity-structure/.
- Chicago
- Zhanxi Wang et al. 2019. "Modeling and simulation of musculoskeletal system of human lower limb based on tensegrity structure.". https://fasciaresearchdatabase.com/modeling-and-simulation-of-musculoskeletal-system-of-human-lower-limb-based-on-tensegrity-structure/
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