Joint angle coupling of a musculoskeletal model and a graphical model of the hand for enhanced display in medical education
J. Cueto Fernandez (TU Delft - Mechanical Engineering)
W Mugge – Mentor (TU Delft - Biomechatronics & Human-Machine Control)
J.E. Geelen – Mentor (TU Delft - Biomechatronics & Human-Machine Control)
F.C.T. van Der Helm – Graduation committee member (TU Delft - Biomechatronics & Human-Machine Control)
K. Bogomolova – Mentor (Leiden University Medical Center)
B.P. Hierck – Mentor (Leiden University Medical Center)
S. Hovius – Graduation committee member (Leiden University Medical Center)
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Abstract
Advanced anatomical knowledge and understanding of the muscles involved in various movements are crucial for medical practitioners to reach the correct diagnostic and successfully predict surgery outcomes. To acquire this knowledge, 3D graphical anatomical models which are displayed stereoscopically can effectively supplement cadaveric dissections. Nevertheless, the movements implemented in the available graphical models do not accurately reproduce the intricate dynamics of the human body, which is especially relevant in the case of the hand. Biomechanical models, on the other hand, provide accurate movement simulations from experimental data, while lacking a detailed graphical representation. Thus, the current paper focuses on the incorporation of the biomechanical model of the hand developed by Mirakhorlo et al. (2018) into a comprehensive graphical anatomical model (Zygote Media Group Inc), to be used for educational purposes. Motion capture data of a pinch task was acquired to validate the combinational approach, and an inverse kinematics simulation was performed in OpenSim using the musculoskeletal model. A reference value based on the fingertip distance difference at the pinch pose was calculated from the experimental data and the simulated motion by the musculoskeletal model. This value was used for validation of the musculoskeletal model reproducibility by the graphical model. Comparison shows that the graphical model reproduced the simulated motion with satisfactory visual effects and within an acceptable range from the reference metric. The presented approach is considered a successful first step towards a biomechanically and anatomically accurate graphical model of the human hand. This lays the foundation for further work on minimising the effect of the anatomical differences between the two models in order to achieve a better match.