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International Workshop on Soft Computing Models in Industrial and Environmental Applications

Computational Intelligence in Security for Information Systems Conference

International Conference on EUropean Transnational Education

SOCO 2016, CISIS 2016, ICEUTE 2016: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 pp 223–232Cite as

Improvement in the Process of Designing a New Artificial Human Intervertebral Lumbar Disc Combining Soft Computing Techniques and the Finite Element Method

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 527))

Abstract

Human intervertebral lumbar disc degeneration is painful and difficult to treat, and is often magnified when the patient is overweight. When the damage is excessive, the disc is replaced by a non-natural or artificial disc. Artificial discs sometimes have the disadvantage of totally different behavior from that of the natural disc. This affects substantially the quality of treated patient’s life. The Finite Element Method (FEM) has been used for years to design an artificial disc, but it involves a high computational cost. This paper proposes a methodology to design a new Artificial Human Intervertebral Lumbar Disc by combining FEM and soft computing techniques. Firstly, a three-dimensional Finite Element (FE) model of a healthy disc was generated and validated experimentally from cadavers by standard tests. Then, an Artificial Human Intervertebral Lumbar Disc FE model with a core of Polycarbonate Polyurethane (PCU) was modeled and parameterized. The healthy and artificial disc FE models were both assembled between lumbar vertebrae L4-L5, giving place to the Functional Spinal Unit (FSU). A Box-Behnken Design of Experiment (DoE) was generated that considers the parameters that define the geometry of the proposed artificial disc FE model and the load derived from the patient’s height and body weight. Artificial Neural Networks (ANNs) and regression trees that are based on heuristic methods and evolutionary algorithms were used for modeling the compression and lateral bending stiffness from the FE simulations of the artificial disc. In this case, ANNs proved to be the models that had the best generalization ability. Finally, the best geometry of the artificial disc proposed when the patient’s height and body weight were considered was achieved by applying Genetic Algorithms (GA) to the ANNs. The difference between the compression and lateral bending stiffness obtained from the healthy and artificial discs did not differ significantly. This indicated that the proposed methodology provides a powerful tool for the design and optimization of an artificial prosthesis.

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Acknowledgements

The authors wish to thank the University of the Basque Country UPV/EHU for its support through Project US15/18 OMETESA and the University of La Rioja for its support through Project ADER 2014-I-IDD-00162.

Author information

Authors and Affiliations

  1. Mechanical Engineering Department, University of La Rioja, Logroño, Spain

    Rubén Lostado Lorza, Fátima Somovilla Gomez & Marina Corral Bobadilla

  2. Electrical Engineering Department, University of Basque Country, Bilbao, Spain

    Roberto Fernandez Martinez

  3. Built Environment and Engineering, Leeds Beckett University, Leeds, UK

    Ruben Escribano Garcia

Authors
  1. Rubén Lostado Lorza
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  2. Fátima Somovilla Gomez
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  3. Roberto Fernandez Martinez
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  4. Ruben Escribano Garcia
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  5. Marina Corral Bobadilla
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Corresponding author

Correspondence to Rubén Lostado Lorza .

Editor information

Editors and Affiliations

  1. Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain

    Manuel Graña

  2. University of the Basque Country, Vitoria, Spain

    José Manuel López-Guede

  3. Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain

    Oier Etxaniz

  4. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  5. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  6. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Lostado Lorza, R., Somovilla Gomez, F., Fernandez Martinez, R., Escribano Garcia, R., Corral Bobadilla, M. (2017). Improvement in the Process of Designing a New Artificial Human Intervertebral Lumbar Disc Combining Soft Computing Techniques and the Finite Element Method. In: Graña, M., López-Guede, J.M., Etxaniz, O., Herrero, Á., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’16-CISIS’16-ICEUTE’16. SOCO CISIS ICEUTE 2016 2016 2016. Advances in Intelligent Systems and Computing, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-319-47364-2_22

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  • DOI: https://doi.org/10.1007/978-3-319-47364-2_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47363-5

  • Online ISBN: 978-3-319-47364-2

  • eBook Packages: EngineeringEngineering (R0)

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