Spectral analysis of bone low frequency vibration signals

RAZAGHI, Hajar, SAATCHI, Reza, OFFIAH, Amaka, BISHOP, Nick and BURKE, Derek (2012). Spectral analysis of bone low frequency vibration signals. In: 2012 8th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 2012). Piscataway, NJ., IEEE.

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Official URL: https://ieeexplore.ieee.org/document/6292718
Link to published version:: https://doi.org/10.1109/CSNDSP.2012.6292718


The purpose of this study was to use frequency spectrum analysis to determine the effects of skin and muscle on the bone’s low frequency vibration signals recorded from vibration sensors placed on the skin. A setup was developed that allowed low frequency vibration signals to be recorded. Tests were performed on a sample of 8 turkey legs in vitro, using four vibration sensors placed on the skin, muscle (i.e. leg with the skin removed) and bone (i.e. leg with skin and muscle removed). It was found that bone’s vibration signals could be recorded from sensors placed on the skin, but there were changes in their magnitudes and vibration frequencies. There was also a direct relationship between the main frequency of bone’s vibration and its mass/volume ratio. This is a preliminary study. The ultimate aim of this study (to be achieved in further work) is to predict fracture risk and target therapy appropriately.

Item Type: Book Section
Additional Information: 18-20 July 2012, Poznan University of Technology, Poznao, Poland
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
Identification Number: https://doi.org/10.1109/CSNDSP.2012.6292718
Depositing User: Helen Garner
Date Deposited: 05 Sep 2012 13:52
Last Modified: 18 Mar 2021 05:23
URI: https://shura.shu.ac.uk/id/eprint/5819

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