Hybrid musculoskeletal model-based 3D asymmetric lifting prediction and comparison with symmetric lifting

被引:0
|
作者
Xiang, Yujiang [1 ,3 ]
Zaman, Rahid [1 ]
Arefeen, Asif [1 ]
Quarnstrom, Joel [1 ]
Rakshit, Ritwik [2 ]
Yang, James [2 ]
机构
[1] Oklahoma State Univ, Sch Mech & Aerosp Engn, Stillwater, OK USA
[2] Texas Tech Univ, Dept Mech Engn, Human Centr Design Res Lab, Lubbock, TX USA
[3] Oklahoma State Univ, Sch Mech & Aerosp Engn, 201 Gen Acad Bldg, Stillwater, OK 74078 USA
基金
美国国家科学基金会;
关键词
Lifting; asymmetric lifting; motion prediction; lower back injuries; hybrid model; musculoskeletal injuries; OpenSim; BIOMECHANICAL SIMULATION; MOTION PREDICTION; OPTIMIZATION; STRENGTH; DESIGN; VELOCITY; SYSTEMS; TORQUE; ANGLE; KNEE;
D O I
10.1177/09544119231172862
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In this study, a 3D asymmetric lifting motion is predicted by using a hybrid predictive model to prevent potential musculoskeletal lower back injuries for asymmetric lifting tasks. The hybrid model has two modules: a skeletal module and an OpenSim musculoskeletal module. The skeletal module consists of a dynamic joint strength based 40 degrees of freedom spatial skeletal model. The skeletal module can predict the lifting motion, ground reaction forces (GRFs), and center of pressure (COP) trajectory using an inverse dynamics-based motion optimization method. The musculoskeletal module consists of a 324-muscle-actuated full-body lumbar spine model. Based on the predicted kinematics, GRFs and COP data from the skeletal module, the musculoskeletal module estimates muscle activations using static optimization and joint reaction forces through the joint reaction analysis tool in OpenSim. The predicted asymmetric motion and GRFs are validated with experimental data. Muscle activation results between the simulated and experimental EMG are also compared to validate the model. Finally, the shear and compression spine loads are compared to NIOSH recommended limits. The differences between asymmetric and symmetric liftings are also compared.
引用
收藏
页码:770 / 781
页数:12
相关论文
共 50 条
  • [31] Towards the Automatic Definition of the Objective Function for Model-Based 3D Hand Tracking
    Paliouras, Konstantinos
    Argyros, Antonis A.
    MAN-MACHINE INTERACTIONS 4, ICMMI 2015, 2016, 391 : 353 - 363
  • [32] Micro-Lifting Jack: Heat- and Light-Fueled 3D Symmetric Deformation of Bragg-Onion-Like Beads with Fully Polymerized Chiral Networks
    Zhang, Yan-Song
    Weng, Hung-Sheng
    Jiang, Shun-An
    Mo, Ting-Shan
    Yang, Po-Chih
    Lin, Jia-De
    Lee, Chia-Rong
    ADVANCED OPTICAL MATERIALS, 2021, 9 (21)
  • [33] Prediction for Strength of 3D Braided Composites Based on Helix Geometry Model
    Jiang, Li-li
    Wei, Xi-bin
    Liu, Xun
    Zeng, Tao
    APPLIED MECHANICS, MATERIALS AND MECHANICAL ENGINEERING, 2013, 387 : 64 - 67
  • [34] Hybrid model-based predictive HVAC control through fast prediction of transient indoor temperature fields
    Liu, Gang
    Gao, Junxi
    Han, Zhen
    Yuan, Ye
    BUILDING AND ENVIRONMENT, 2025, 267
  • [35] Technical aspects for 3D hybrid cadastral model
    Spirou-Sioula, K.
    Ioannidis, C.
    Potsiou, C.
    SURVEY REVIEW, 2013, 45 (333) : 419 - 427
  • [36] 3D model-based scan planning for space frame structures considering site conditions
    Li, Dongsheng
    Liu, Jiepeng
    Zeng, Yan
    Cheng, Guozhong
    Dong, Biqin
    Chen, Y. Frank
    AUTOMATION IN CONSTRUCTION, 2022, 140
  • [37] Numerical simulation of 3D supersonic asymmetric truncated nozzle based on k-kL algebraic stress model
    Wang, Gang
    Zhang, Shuai
    Zhang, Jifa
    Zheng, Yao
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2025, 26 (03): : 238 - 251
  • [38] Model-based design and validation of food texture of 3D printed pectin-based food simulants
    Vancauwenberghe, Valerie
    Delele, Mulugeta Admasu
    Vanbiervliet, Jeroen
    Aregawi, Wondwosen
    Verboven, Pieter
    Lammertyn, Jeroen
    Nicolai, Bart
    JOURNAL OF FOOD ENGINEERING, 2018, 231 : 72 - 82
  • [39] A 3D simulation of the formation of primary platelet thrombi based on a hybrid computational model
    Ma, Chaoqing
    Gwun, Oubong
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2017, 25 (02) : 1238 - 1250
  • [40] A hybrid spatial model based on identified conditions for 3D pore pressure estimation
    Chen, Xi
    Cao, Weihua
    Gan, Chao
    Wu, Min
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2022, 100