Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Rahid Zaman"'
Publikováno v:
International Journal of Humanoid Robotics.
Publikováno v:
IEEE Transactions on Biomedical Engineering. 69:1111-1122
Objective: In this study, a novel hybrid predictive musculoskeletal model is proposed which has both motion prediction and muscular dynamics assessment capabilities. Methods: First, a two-dimensional (2D) skeletal model with 10 degrees of freedom is
Publikováno v:
Volume 2: 42nd Computers and Information in Engineering Conference (CIE).
In this study, a hybrid predictive model is used to predict 3D asymmetric lifting motion and assess potential musculoskeletal lower back injuries for asymmetric lifting tasks. The hybrid model has two modules: a skeletal module and an OpenSim musculo
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. :095441192311728
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 mu
Optimization-based biomechanical lifting models for manual material handling: A comprehensive review
Publikováno v:
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine. 236(9)
Lifting is a main task for manual material handling (MMH), and it is also associated with lower back pain. There are many studies in the literature on predicting lifting strategies, optimizing lifting motions, and reducing lower back injury risks. Th
Publikováno v:
Engineering Optimization. 53:206-220
Manual material handling is common in daily life and is the main cause of lower back pain. Therefore, it is critical to establish a lifting limit for workers. However, it is difficult to obtain eac...
Publikováno v:
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine. 235(4)
In this study, the three-dimensional (3D) asymmetric maximum weight lifting is predicted using an inverse-dynamics-based optimization method considering dynamic joint torque limits. The dynamic joint torque limits are functions of joint angles and an
Publikováno v:
Volume 9: 40th Computers and Information in Engineering Conference (CIE).
Lifting heavy weight is one of the main reasons for manual material handling related injuries which can be mitigated by determining the limiting lifting weight of a person. In this study, a 40 degrees of freedom (DOFs) spatial skeletal model was empl
Publikováno v:
Multibody System Dynamics. 46:63-76
This paper describes an efficient optimization method for determining the subject-specific strength percentile and predicting the maximum weight lifting motion by considering dynamic joint strength in symmetric box lifting. Dynamic strength is modele
Publikováno v:
Volume 1: 39th Computers and Information in Engineering Conference.
This paper describes an integrated approach to predict human leg and spine muscle forces during lifting by integration of a predictive skeletal model with OpenSim. The two-dimensional (2D) skeletal lifting motion is first predicted by using an invers