Skip to main content
Springer Nature Link
Log in

Application of Neural Networks in Assessing Changes around Implant after Total Hip Arthroplasty

  • Conference paper
Artificial Intelligence and Soft Computing (ICAISC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7268))

Included in the following conference series:

  • 1754 Accesses

Abstract

Bone and joint diseases afflict more and more younger people. This is due to the work habits, quality and intensity of life, diet and individual factors. Hip arthroplasty is a surgery to remove the pain and to allow the patient to return to normal functioning in society. Endoprosthesoplasty brings the desired effect, but the life span of contemporary endoprosthesis is still not satisfactory. Clinical studies have shown that the introduction of the implant to the bone causes a number of changes within the bone – implant contact. The correct prediction of changes around the implant allows to plan the surgery and to identify hazardous areas where bone decalcification and loss of primary stability in implant can occur.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, Inc., New York (1995)

    Google Scholar 

  2. Canalis, E.: Regulation of Bone Remodeling: Primer on the Metabolic Bone Diseases and Disorders of Mineral Metabolism, An Official Publication of The American Society for Bone and Mineral Research. Amer. Society for Bone & Mineral, 33-31 (2009)

    Google Scholar 

  3. Hagan, M.T., Menhaj, M.B.: Training feed forward network with the Marquardt algorithm. IEEE Trans. on Neural Net. 5(6), 989–993 (1994)

    Article  Google Scholar 

  4. Jankowski, N., Grąbczewski, K.: Universal Meta-Learning Architecture and Algorithms. In: Jankowski, N., Duch, W., Grąbczewski, K. (eds.) Meta-Learning in Computational Intelligence. SCI, vol. 358, pp. 1–76. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  5. Marciniak, J.: Biomaterials. Silesian University of Technology Press, Gliwice (2002)

    Google Scholar 

  6. Nowicki, R., Rutkowski, L.: Rough-Neuro-Fuzzy System for Classification. In: Proceedings of Fuzzy Systems and Knowledge Discovery, Singapore, pp. 463–466 (2002)

    Google Scholar 

  7. Nowicki, R., Rutkowski, L.: Soft Techniques for Bayesian Classification. In: Rutkowski, L., Kacprzyk, J. (eds.) Neural Networks and Soft Computing. AISC, pp. 537–544. Springer Physica-Verlag (2003)

    Google Scholar 

  8. Pauwels, F.: Biomechanics of the Locomotor Apparatus, Berlin (1976)

    Google Scholar 

  9. Rutkowski, L., Cpałka, K.: A general approach to neuro - fuzzy systems. In: Proceedings of the 10th IEEE International Conference on Fuzzy Systems, Melbourne, December 2-5, vol. 3, pp. 1428–1431 (2001)

    Google Scholar 

  10. Rutkowski, L., Cpałka, K.: A neuro-fuzzy controller with a compromise fuzzy reasoning. Control and Cybernetics 31(2), 297–308 (2002)

    MATH  Google Scholar 

  11. Starczewski, J., Rutkowski, L.: Connectionist Structures of Type 2 Fuzzy Inference Systems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds.) PPAM 2001. LNCS, vol. 2328, pp. 634–642. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  12. Starczewski, J., Rutkowski, L.: Interval type 2 neuro-fuzzy systems based on interval consequents. In: Rutkowski, L., Kacprzyk, J. (eds.) Neural Networks and Soft Computing, pp. 570–577. Physica-Verlag, Springer-Verlag Company, Heidelberg, New York (2003)

    Google Scholar 

  13. Szarek, A.: Hip Joint Replacement in Biomechanical and Clinical Approach. Rusnauckniga, Belgorod (2010)

    Google Scholar 

  14. Szarek, A.: Chosen aspects of biomaterials, Publishing house Education and Science s.r.o. - Rusnauckniga, Praga-Belgorod (2011)

    Google Scholar 

  15. Williams, D.F.: Definitions in biomaterials. Elsevier, Amsterdam (1987)

    Google Scholar 

  16. Zalasiński, M., Cpałka, K.: A new method of on-line signature verification using a flexible fuzzy one-class classifier, pp. 38–53. Academic Publishing House EXIT (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Metal Working and Forming, Quality Engineering and Bioengineering, Czȩstochowa University of Technology, Poland

    Arkadiusz Szarek

  2. Department of Computer Engineering, Czȩstochowa University of Technology, al. Armii Krajowej 36, 42-200, Czȩstochowa, Poland

    Marcin Korytkowski, Leszek Rutkowski & Rafał Scherer

  3. Olsztyn Academy of Computer Science and Management, ul. Artyleryjska 3c, 10-165, Olsztyn, Poland

    Marcin Korytkowski

  4. SWSPiZ Academy of Management, Institute of Information Technology, ul. Sienkiewicza 9, 90-113, Łódź, Poland

    Leszek Rutkowski

  5. Orthopedics and Traumatic Surgery Department of NMP Voivodship Specialist Hospital, 42-200, Czȩstochowa, Bialska 104/118, Poland

    Janusz Szyprowski

Authors
  1. Arkadiusz Szarek
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marcin Korytkowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Leszek Rutkowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Rafał Scherer
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Janusz Szyprowski
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Szarek, A., Korytkowski, M., Rutkowski, L., Scherer, R., Szyprowski, J. (2012). Application of Neural Networks in Assessing Changes around Implant after Total Hip Arthroplasty. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29350-4_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29349-8

  • Online ISBN: 978-3-642-29350-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics