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Development of a Non-invasive Screening Technique for Detection of Wrist Fractures in Children

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Advances in Asset Management and Condition Monitoring

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 166))

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Abstract

A study applying vibration analysis was conducted on the wrists of children aged between 10 and 15 years old to determine the presence or absence of fracture, following wrist trauma. Without radiographs it is not possible for a doctor to confirm whether trauma has resulted in a sprain or a fracture. The current waiting time for patients to see a doctor is set at 4 h by the National Health Service of the UK. This means that many children (who only have a sprain) are exposed to unnecessary radiation and they and their guardians are spending needless hours in the Emergency Department and potentially prolonging the stay of others. Therefore, a screening tool is required to more precisely select those children who should proceed to radiographic examinations. We have developed a hand-held vibration inducer that sends vibrating signals through the long bones for a small period of time. This device is pre-programmed and captures the corresponding vibration responses by means of a piezoelectric sensor. Data were recorded from the local children’s hospital. Noise and distortion of the signals were removed as much as possible by three methods. The methods consist of subtraction of the root mean squared signals from each signal acquired, filtering the resulting signals and finally application of a suitable windowing method. The magnitudes of frequencies were classified by the ‘Maximum Likelihood Estimate’. The magnitudes of frequencies were separated into two groups: males and females for clearer comparisons. All analyses were compared with x-ray findings.

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References

  1. Landin, L.A.: Epidemiology of children’s fractures. J. Ped. Ortho. 6(2), 79–83 (1997). https://doi.org/10.1097/01202412-199704000-00002

    Article  Google Scholar 

  2. Cooper, C., Dennison, E.M., Leufkens, H.G., van Bishop, N., Staa, T.P.: Epidemiology of childhood fractures in Britain: a study using the general practice research database. J. Bon. Min. Res. 19(12), 1976–1981 (2004). https://doi.org/10.1359/JBMR.040902

    Article  Google Scholar 

  3. Dussa, C.U., Gul, A., Herdman, G., Veeramuthu, K., Singhal, K.: Wrist injury with normal X-Rays—which is better investigation? Orthop. Proc. 88(B), 186–187 (2006)

    Google Scholar 

  4. Wilson, J.M.G., Jungner, G.: Principles and practice of screening for disease. In: Public Health Papers-34. World Health Organization, Geneva (1968)

    Google Scholar 

  5. Maxim, L.D., Niebo, R., Utell, M.J.: Screening tests: a review with examples. Inhal. Tox. 26(13), 811–828 (2014). https://doi.org/10.3109/08958378.2014.955932

    Article  Google Scholar 

  6. Dalpiaz, G., Rivola, A.: Condition monitoring and diagnostics in automatic machines: comparison of vibration analysis techniques. Mech. Sys. Sig. Proc. 11(1), 53–73 (1997). https://doi.org/10.1006/mssp.1996.0067

    Article  Google Scholar 

  7. Neale, M.J.: Tribology Handbook. Elsevier Ltd., Amsterdam (1996)

    Google Scholar 

  8. Roberts, S.G., Steele, C.R.: Efficacy of monitoring long-bone fracture healing by measurement of either bone stiffness or resonant frequency: numerical simulation. J. Orth. Res. 18(5), 691–697 (2000). https://doi.org/10.1002/jor.1100180503

    Article  Google Scholar 

  9. Tan, L., Li, Y.-H., Zhao, B., Li, Y., Zhu, D.: Intermittent low-magnitude high-frequency vibration enhances biological and radiological parameters during fracture healing in sheep. Int. J. Clin. Exp. Pathol. 10(1), 282–289 (2016)

    Google Scholar 

  10. Vasile, A., Trifan, E.L., Bucsan, C., Micu, C.A.: Electro-magnetic actuated vibrating platform. In: 2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging (SIITME), Romania, pp. 241–244 (2014). https://doi.org/10.1109/siitme.2013.6743683

  11. Pang, M.Y.C.: Whole body vibration therapy in fracture prevention among adults with chronic disease. Wor. J. Orth. 1(1), 20–25 (2010). https://doi.org/10.5312/wjo.v1.i1.20

    Article  Google Scholar 

  12. Zhu, D., Zhang, R., Sun, D., Zhang, X., Gong, H.: Low-magnitude, high-frequency mechanical signal appears to prevent osteoporosis in male suspended rats. Bone. 47(3), S411 (2010). https://doi.org/10.1016/j.bone.2010.09.210

    Article  Google Scholar 

  13. Yi, Q.: 29—measurement, testing, and diagnosis for micromanufacturing systems. In: Micromanufacturing Engineering and Technology, pp. 675–704. Elsevier Inc. (2015)

    Google Scholar 

  14. Nokes, L.D.M.: The use of low-frequency vibration measurement in orthopaedics. Proc. Inst. Mech. Eng. part H. J. Eng. Med. 213(H3), 271–290 (1999). https://doi.org/10.1243/0954411991534979

    Article  Google Scholar 

  15. Kichouliya, R., Devender, T., Ramasarma, V.V., Borkar, V.G.: Investigating the effects of impulse excitations on instrumented electro-explosive devices. In: 2012 Asia-Pacific symposium on IEEE Electromagnetic compatibility (APEMC), Singapore, pp. 988–992 (2012). https://doi.org/10.1109/apemc.2012.6237792

  16. Avdagić, S.C., Baric, I.C., Keser, I., Cecić, I., Satalić, Z., Bobić, J., Gomzi, M.: Differences in peak bone density between male and female students. Arh. Hig. Rada. Toksikol. 60(1), 79–86 (2009). https://doi.org/10.2478/10004-1254-60-2009-1886

    Article  Google Scholar 

  17. Almudhaffar, M., Nassar, A.A., Kareem, H.A.H.A.: Vibration of bones: a case study on human femur. Basrah J. Eng. Sci. 14(2), 229–239 (2014). https://doi.org/10.17605/OSF.IO/E546S

    Article  Google Scholar 

  18. Bediz, B., Özgüven, N.H., Korkusuz, F.: Vibration measurements predict the mechanical properties of human tibia. Clin. Biomech. 25(4), 365–371 (2010). https://doi.org/10.1016/j.clinbiomech.2010.01.002

    Article  Google Scholar 

  19. Stein, J.Y.: Digital Signal Processing: A Computer Science Perspective. Wiley, Hoboken (2001)

    Google Scholar 

  20. Adewusi, S., Thomas, M., Vu, V.H.: Resonances of the human hand-arm system using finite element and operational modal analysis methods. TSEST Trans. Control Mech. Syst. 3, 11–18 (2014)

    Google Scholar 

  21. Xu, X.S., Dong, R.G., Welcome, D.E., Warren, C., McDowell, T.W., Wu, J.Z.: Vibrations transmitted from human hands to upper arm, shoulder, back, neck, and head. Int. J. Ind Ergon 62, 1–12 (2016). https://doi.org/10.1016/2Fj.ergon.2016.07.001

    Article  Google Scholar 

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Acknowledgements

The researchers involved in this study are grateful for Dr. Reza Saatchi’s input of knowledge towards this study. We are also grateful to the Sheffield Children’s Hospital Charity for their financial contribution.

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Correspondence to Lyuba Alboul .

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Ali, R., Alboul, L., Offiah, A.C. (2020). Development of a Non-invasive Screening Technique for Detection of Wrist Fractures in Children. In: Ball, A., Gelman, L., Rao, B. (eds) Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-030-57745-2_92

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  • DOI: https://doi.org/10.1007/978-3-030-57745-2_92

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