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Finite Element Modeling of the Human Wrist: A Review
Andres Mena1, Ronit Wollstein2, Juan Baus1
1Human-Centric Design Research Laboratory, Department of Mechanical Engineering, Texas Tech University, Lubbock, Texas.
Finite element method (FEM) studies of wrist biomechanics show diverse approaches. Current models often lack detailed anatomical structures like cartilage and tendons, limiting comprehensive understanding and treatment strategies for wrist joint conditions.
Area of Science:
- Biomechanics
- Computational modeling
- Orthopedic research
Background:
- Understanding wrist biomechanics is crucial for diagnosing and treating wrist joint conditions.
- Finite element method (FEM) offers advantages over experimental methods for analyzing complex biomechanical systems.
- Inconsistent methodologies in published FEM studies hinder the integration of findings.
Purpose of the Study:
- To systematically review the application of FEM in wrist biomechanics research over the past decade (2012-2022).
- To identify trends, common practices, and limitations in FEM modeling of the wrist joint.
Main Methods:
- A comprehensive literature search was conducted across major scientific databases (EBSCO, Research4Life, ScienceDirect, Scopus).
- Studies published between 2012 and 2022 focusing on FEM analysis of the wrist were included.
- Twenty-two relevant studies were selected for detailed review and synthesis.
Main Results:
- FEM applications in wrist biomechanics cover general mechanics, pathology, and treatment, exhibiting significant heterogeneity.
- Most models incorporate bone structures, but fewer include critical soft tissues like cartilage and ligaments.
- The dynamic influence of wrist tendons on joint mechanics is infrequently represented in current FEM models.
Conclusions:
- The existing body of literature on FEM for wrist biomechanics is incomplete due to the inherent complexity of the joint.
- Developing standardized strategies and advanced modeling techniques is essential for creating more accurate and comprehensive wrist models.
- Improved model fidelity will enhance our understanding and clinical management of wrist pathologies.
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