Investigation of bone fracture diagnosis system using transverse vibration response

Author:

Yoon Gil Ho1ORCID,Woo Yeon-Jun1,Sim Seong-Gyu1,Kim Dong-Yoon1,Hwang Se Jin2

Affiliation:

1. Department of Mechanical Engineering, College of Engineering, Hanyang University, Seoul, Korea

2. Department of Anatomy and Cell Biology, College of Medicine, Hanyang University, Seoul, Korea

Abstract

In this study, a new diagnostic system is developed to easily identify bone fractures in non-medical environments. It is difficult to determine the extent of cracks, fractures, and the healing process inside humans owing to the differences among people and limitations of state-of-the-art medical devices. Thus, various medical techniques, such as X-ray, computed tomography, or fork tuning systems have been developed, and more advanced technologies are emerging in the medical engineering field. In hazardous circumstances, medical devices to detect bone fracture are not available or cannot be easily applied. Thus, there is a need for the rapid detection of bone fractures without medical devices. To this end, this study analyzes the transverse vibration responses of bones because bone fractures cause different mechanical vibration reactions. By comparing the transverse vibration responses of both healthy and fractured bones, the modal assurance criterion can be calculated and applied to detect the existence of bone fractures. The transverse vibration responses at low and high frequencies are different and exhibit different modal assurance criteria depending on whether or not they are abnormal. Then, the virtual spectrogram of the differences between the signals from non-fractured and fractured bones is calculated. With the help of the present criterion with transverse vibration data, this difference can be analyzed quantitatively and effectively. To validate the proposed system, experiments with artificial specimens, animal legs, and a cadaver are performed.

Funder

National Research Foundation of Korea

Institute of Civil Military Technology Cooperation of Korea

Publisher

SAGE Publications

Subject

Mechanical Engineering,General Medicine

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A survey on bone fracture detection methods using image processing and artificial intelligence (AI) approaches;WOMEN IN PHYSICS: 7th IUPAP International Conference on Women in Physics;2024

2. Application of stacked autoencoder for identification of bone fracture;Journal of the Mechanical Behavior of Biomedical Materials;2023-10

3. Bone collision detection method for robot assisted fracture reduction based on vibration excitation;Computer Methods and Programs in Biomedicine;2023-02

4. Failure diagnosis system using a new nonlinear mapping augmentation approach for deep learning algorithm;Mechanical Systems and Signal Processing;2022-06

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