Correlation analysis of bone vibration frequency and its mass: volume ratio

RAZAGHI, Hajar, SAATCHI, Reza, OFFIAH, Amaka, BISHOP, Nick and BURKE, Derek Patrick Anthony (2013). Correlation analysis of bone vibration frequency and its mass: volume ratio. Bone Abstracts, 2, P175.

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Abstract

Background: Vibration analysis is a well-established technique in industry to analyse materials physical properties. The application to bone’s physical properties is unclear. This study investigated the relationship between bone vibration frequency and mass:volume ratio (ρ). Methods: We used eight turkey bones (tibio tursus). Following soft tissue removal, a 12 cm diaphyseal section was isolated, marrow removed using a water jet and the bones dried at 25 °C for 1 week. Bone volume was determined by water displacement, and mass by weighing. Bones were held in a vice at one end in a consistent manner and vibrated either using a miniature vibration motor (continuous vibration approach) or a miniature electronic hammer (impulse vibration approach). Vibration signals were recorded using CM-01B sensor. For the impulse approach, the highest peak in the magnitude frequency spectrum of the vibration signal (F) was used to determine the bone vibration frequency. For the continuous vibration approach, the difference (FD) between the motor vibration frequency and the bone vibration frequency (obtained from the highest peak in the magnitude frequency spectrum) was used. Results: The impulse approach correlated more strongly with ρ than did the continuous approach (correlation of F with ρ 0.57 vs 0.38 respectively). Summary: This study suggests that vibration analysis may be a valuable technique in assessing bone mass/volume properties. This was a preliminary study and we are currently conducting a larger study to explore the findings further.

Item Type:	Article
Additional Information:	Originally presented at 6th International Conference on Children's Bone Health. Rotterdam, Netherlands 22 June 2013 - 25 June 2013. Organised by ICCBH
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
Identification Number:	https://doi.org/10.1530/boneabs
Page Range:	P175
Depositing User:	Reza Saatchi
Date Deposited:	07 Dec 2016 15:33
Last Modified:	18 Mar 2021 17:45
URI:	https://shura.shu.ac.uk/id/eprint/14104

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