Signal processing techniques for accurate screening of wrist fractures

ALI, Ridita, ALBOUL, Lyuba and OFFIAH, Amaka (2017). Signal processing techniques for accurate screening of wrist fractures. In: CAMARINHA-MATOS, Luis M., PARREIRA-ROCHA, Mafalda and RAMEZANI, Javaneh, (eds.) Technological innovation for smart systems : 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, Costa de Caparica, Portugal, May 3-5, 2017, Proceedings. IFIP International Federation for Information Processing (499). Springer, 175-182.

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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.

Item Type:	Book Section
Additional Information:	Book series ISSN: 1868-4238, ESSN: 1868-422X
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/10.1007/978-3-319-56077-9_16
Page Range:	175-182
Depositing User:	Lyuba Alboul
Date Deposited:	20 Apr 2017 09:37
Last Modified:	18 Mar 2021 07:02
URI:	https://shura.shu.ac.uk/id/eprint/15548

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