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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
References
Landin, L.A.: Epidemiology of children’s fractures. J. Ped. Ortho. 6(2), 79–83 (1997). https://doi.org/10.1097/01202412-199704000-00002
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
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)
Wilson, J.M.G., Jungner, G.: Principles and practice of screening for disease. In: Public Health Papers-34. World Health Organization, Geneva (1968)
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
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
Neale, M.J.: Tribology Handbook. Elsevier Ltd., Amsterdam (1996)
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
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)
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
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
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
Yi, Q.: 29—measurement, testing, and diagnosis for micromanufacturing systems. In: Micromanufacturing Engineering and Technology, pp. 675–704. Elsevier Inc. (2015)
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
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
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
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
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
Stein, J.Y.: Digital Signal Processing: A Computer Science Perspective. Wiley, Hoboken (2001)
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)
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
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-57745-2_92
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57744-5
Online ISBN: 978-3-030-57745-2
eBook Packages: EngineeringEngineering (R0)