Forecasting wear of head and acetabulum in hip joint implant

  • Authors:

  • Arkadiusz Szarek;Marcin Korytkowski;Leszek Rutkowski;Rafał Scherer;Janusz Szyprowski

  • Affiliations:

  • Institute of Metal Working and Forming, Quality Engineering and Bioengineering, Czȩstochowa University of Technology, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland and Olsztyn Academy of Computer Science and Management, Olsztyn, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland and Institute of Information Technology, SWSPiZ Academy of Management in Łódź ...;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Orthopedics and Traumatic Surgery Department of NMP Voivodship Specialist Hospital, Czȩstochowa, Poland

  • Venue:
  • ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

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.