Abstract
Finite element musculoskeletal (FEMS) approaches using concurrent musculoskeletal and finite element models driven by motion data such as marker-based motion trajectory can provide insight into the interactions between the knee joint secondary kinematics, contact mechanics, and muscle forces in subject-specific biomechanical investigations. However, these data-driven FEMS systems have a major disadvantage that makes them challenging to apply in clinical environments, i.e., they require expensive and inconvenient equipment for data acquisition. In this study, we developed an FEMS model of the lower limb driven solely by inertial measurement unit sensors that include the tissue geometries of the entire knee joint, and that combine modeling of 16 muscles into a single framework. The model requires only the angular velocities and accelerations measured by the sensors as input. The target outputs (knee contact mechanics, secondary kinematics, and muscle forces) are predicted from the convergence results of iterative calculations of muscle force optimization and knee contact mechanics. To evaluate its accuracy, the model was compared with in vivo experimental data during gait. The maximum contact pressure (11.3 MPa) occurred on the medial side of the cartilage at the maximum loading response. The developed framework combines measurement convenience and accurate modeling, and shows promise for clinical applications aimed at understanding subject-specific biomechanics.
Highlights
Kinetics, and muscle and ligament forces play essential roles in the early detection of knee disorders, evaluations of patients presenting with knee pain, and musculoskeletal (MS) symptoms [1,2]
Noninvasive computational methods such as MS [3] and finite element (FE) [4] models have been widely used in biomechanical analyses and clinical assessments of the knee joint
The MS model, which consists of rigid body skeleton segments connected by joints and muscles that span these joints, can be used to estimate the joint kinematics, kinetics, and muscle forces
Summary
Kinetics, and muscle and ligament forces play essential roles in the early detection of knee disorders, evaluations of patients presenting with knee pain, and musculoskeletal (MS) symptoms [1,2]. Noninvasive computational methods such as MS [3] and finite element (FE) [4] models have been widely used in biomechanical analyses and clinical assessments of the knee joint. The muscle or knee joint compressive force is primarily calculated using MS models; these values serve as inputs for an FE model of the knee joint region to simulate its contact mechanics This combined approach can help overcome the limitations of each modeling domain while improving the quality of the analysis
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