Forecasting Wear of Head and Acetabulum in Hip Joint Implant

  • Arkadiusz Szarek
  • Marcin Korytkowski
  • Leszek Rutkowski
  • Rafał Scherer
  • Janusz Szyprowski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7268)

Abstract

Total hip joint replacement is a multi-aspect issue, where life span of the implant system in human body depends on numerous factors. One of the main reasons for having a hip replacement is loosening or wear of the associated components in artificial joint. The rate of wear depends mainly on the type of materials working together in the artificial joint, the burden resulting from the patient’s body weight, intensity of use, limb functionality, age of the patient’s and individual factors. The analysis of all factors leading to the joint wear and articulation expensiveness will allow for the appropriate selection of an head–acetabulum system which provide long-lasting and trouble-free operation. We use neuro–fuzzy systems to machine–learn the data to predict automatically the wear of elements in the artificial hip joint.

Keywords

Membership Function Fuzzy System Joint Component Fuzzy Inference Engine Femoral Head Fracture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bergner, M., Bobbit, R.A., Carter, W.B., et al.: The sickness impact profile: development and final revision of a health status measure. Medical Care 19, 787–805 (1981)CrossRefGoogle Scholar
  2. 2.
    Harris, W.H.: Traumatic arthritis of the hip after dislocation and acetabular fractures: treatment by mold arthroplasty. An end-result study using a new method of result evaluation. Journal Bone Joint Surg. Am. 51, 737–755 (1969)Google Scholar
  3. 3.
    Hwang, D.S., Kim, Y.-M., Lee, C.H.: Alumina Femoral Head Fracture in Uncemented Total Hip Arthroplasty With a Ceramic Sandwich Cup. The Journal of Arthroplasty 22(3), 468–471 (2007)CrossRefGoogle Scholar
  4. 4.
    Jang, R.J.-S., Sun, C.-T., Mizutani, E.: Neuro-Fuzzy and Soft Computing. In: A Computational Approach to Learning and Machine Intelligence. Prentice Hall, Upper Saddle River (1997)Google Scholar
  5. 5.
    Johnston, R.C., et al.: Clinical and radiographic evaluation of total hip replacement. A standard system of terminology for reporting results. Journal Bone Joint Surg. Am. 72, 161–168 (1990)Google Scholar
  6. 6.
    Merle d’Aubigone, R., Postel, M.: Functional results of hip arthroplasty with acrylic prosthese. Journal Bone Joint Surg. Br. 36-A, 451–457 (1954)Google Scholar
  7. 7.
    Nowicki, R.: Nonlinear modelling and classification based on the MICOG defuzzification. Nonlinear Analysis 71, e1033–e1047 (2009), doi:10.1016/j.na.2009.01.125CrossRefGoogle Scholar
  8. 8.
    Nowin, S.C., Hegedus, D.H.: Bone remodeling I: theory of adaptive elasticity. Journal of Elasticity 6(3), 313–326 (1976)MathSciNetCrossRefGoogle Scholar
  9. 9.
    Szarek, A.: Hip Joint Replacement in Biomechanical and Clinical Approach. Rusnauckniga. Belgorod (2010)Google Scholar
  10. 10.
    Szarek, A.: Chosen aspects of biomaterials, Publishing house Education and Science s.r.o. - Rusnauckniga, Praga-Belgorod (2011)Google Scholar
  11. 11.
    Ungethüm, M., Winkler-Gniewek, W.: Trybologie In der Medizin. Tribologia und Schmierungstechnik (5), 268–277 (1990)Google Scholar
  12. 12.
    Rutkowski, L.: Flexible Neuro Fuzzy Systems. Kluwer Academic Publishers (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Arkadiusz Szarek
    • 1
  • Marcin Korytkowski
    • 2
    • 3
  • Leszek Rutkowski
    • 2
    • 4
  • Rafał Scherer
    • 2
  • Janusz Szyprowski
    • 5
  1. 1.Institute of Metal Working and Forming, Quality Engineering and BioengineeringCzȩstochowa University of TechnologyPoland
  2. 2.Department of Computer EngineeringCzȩstochowa University of TechnologyCzȩstochowaPoland
  3. 3.Olsztyn Academy of Computer Science and ManagementOlsztynPoland
  4. 4.Institute of Information TechnologySWSPiZ Academy of Management in ŁódźŁódźPoland
  5. 5.Orthopedics and Traumatic Surgery Department of NMP Voivodship Specialist HospitalCzȩstochowaPoland

Personalised recommendations