Knee Measurement System with Osteoarthritis Levels Using Artificial Cartilage and Skeletons

Author:

Kang Minchae1ORCID,Seo Suyeon1,Lee Hyewon2,Han Min-Woo12

Affiliation:

1. Department of Mechanical Engineering, Advanced Manufacturing & Soft Robotics Lab, Dongguk University, 30 Pildong-ro 1, Jung-gu, Seoul 04620, Republic of Korea

2. Department of Mechanical, Robotics and Energy Engineering, Advanced Manufacturing & Soft Robotics Lab, Dongguk University, 30 Pildong-ro 1, Jung-gu, Seoul 04620, Republic of Korea

Abstract

Knee osteoarthritis (OA), also known as degenerative arthritis, is a disease characterized by irreversible changes in the cartilage and bones comprising the joints, resulting in pain, impaired function, and deformity. Furthermore, independent of natural aging, the rate of change in joint cartilage has increased in recent years, which is mainly attributed to environmental factors. The rising incidence of knee-related disorders emphasizes the importance of analyzing the morphology and kinematics of knee structure. This study introduces a knee measurement system designed to replicate the motions of knee using 3D-printing technology, providing insights into knee mechanics with OA level. The research explores the stages of OA using the Kellgren–Lawrence (KL) grade scale, highlighting the variations in the force applied to the knee bone according to movement. The developed knee-simulation system, utilizing the four-bar-link theory, presents a novel approach to studying OA levels 0 to 4. As OA progresses, the cartilage deteriorates, affecting the movement of OA. The OA-based knee measurement system that incorporates soft tissues and skeletons can assist in developing a personalized diagnostic approach for knee disease. This will also help to enhance surgical effectiveness by facilitating the creation of personalized prosthetic joints for individual patients and offering a customized surgical simulation.

Funder

National Research Foundation of Korea (NRF) grants funded by the Korean government

National Research Foundation of Korea

Ministry of Trade, Industry, and Energy (MOTIE) and the Korea Institute for Advancement of Technology (KIAT) through the International Cooperative R&D program

Publisher

MDPI AG

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