Journal of Biomedical and Engineering Research
ISSN: 3065-8780 | DOI: 10.64030/3065-8780
Md Tanvir Shahariar, M M Tariqul Islam Mesbah, ASM Sayem and Rahatul Islam
Osteoporosis is a bone disease that makes bones weaker over time and considerably increases the risk of femoral fractures. The biomechanical and vibrational properties of the human femur in both healthy and osteoporotic situations are examined in this investigation through the use of finite element analysis (FEA). 3D models created from CT were simulated through modal and static structural analyses under physiologically appropriate loading conditions, including stair climbing, walking, sitting, and standing. The osteoporotic femur exhibited a loss of stiffness and dynamic stability, accompanied by a 20–36% reduction in natural frequencies under boundary conditions. Structural analysis further revealed that the osteoporotic model exhibited up to four times greater deformation and von Mises stress compared to the healthy femur, with peak stresses reaching 146.51
MPa when climbing stairs. These findings provide insights into the mechanical changes associated with osteoporosis, aiding early detection, fracture risk assessment, and targeted rehabilitation. Integrating artificial intelligence and machine learning is proposed to enhance predictive modeling and personalized orthopedic care. This analysis contributes to understanding femoral mechanics and advancing precision orthopedics for managing osteoporosis and related skeletal conditions.