Ali, R., Alboul, L. and Offiah, A. (2017) Signal processing techniques for accurate screening of wrist fractures. In: Camarinha-Mato, L.M., Parreira-Rocha, M. and Ramezani, J., (eds.) Technological Innovation for Smart Systems. 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, May 3-5, 2017, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology , 499 . Springer, Cham , pp. 175-182. ISBN 9783319560762
Abstract
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, hand-held system has been developed which consists of a vibration induction mechanism and a piezoelectric sensor 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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © IFIP International Federation for Information Processing 2017. This is an author produced version of a paper subsequently published in IFIP Advances in Information and Communication Technology. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Division of Genomic Medicine (Sheffield) > Department of Oncology and Metabolism (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 May 2017 10:59 |
Last Modified: | 31 Mar 2018 00:39 |
Published Version: | https://doi.org/10.1007/978-3-319-56077-9_16 |
Status: | Published |
Publisher: | Springer, Cham |
Series Name: | IFIP Advances in Information and Communication Technology |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-56077-9_16 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116435 |