Fuzzy C-Means clustering to analyze bone vibration as a method of screening fracture

Ali, Ridita; Offiah, A.C.; Ramlakhan, Shammi

doi:10.1109/csndsp.2016.7573971

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2017

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“…The influence and results of low-frequency vibrations in the lower limbs have been accurately determined for the analyses based studies [8]. The effects of skin and muscle on the bone's low frequency vibration signals have been demonstrated [9]. We have previously used samples of frequency spectra from adults with and without wrist injuries, to cluster analyze into fractured and sprained bones [10].…”

Section: Introductionmentioning

confidence: 99%

Signal Processing Techniques for Accurate Screening of Wrist Fractures

Ali¹,

Alboul²,

Offiah³

2017

IFIP Advances in Information and Communication Technology

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The common way for doctors to differentiate wrist injury in to a sprain or a fracture, is to take radiographs (X-ray), which expose patients to radiation. The purpose of this study is to explore a non-invasive method to screen for potential fractures. A small, computer run system has been developed which consists of a vibration induction mechanism and a sensing system for capturing the vibration signals. Two analyzing techniques were considered. The first involves extraction of wavelet coefficients from decomposition of data and the second applies Fast Fourier Transform to the data. Results of both techniques were then cluster analyzed to partition between fracture and sprain. The data were acquired from both the injured and uninjured wrists of six adult patients. This study is currently being evaluated on children's wrists.

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Section: Introductionmentioning

confidence: 99%