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. [Book Section]
Abstract
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.
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