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Modelling of urological dysfunctions with neurological etiology by means of their centres involved

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Author

  • David Gil
  • Magnus Johnsson
  • J.M Garcia Chamizo
  • A. Soriano Paya
  • D. Ruiz Fernandez

Summary, in English

Urinary incontinence is a considerable problem which is clearly reflected in the number of patients affected by it. Moreover, it is extremely difficult to obtain an accurate diagnosis as the urinary incontinence very often is related to the neurological system. In this article a model with capabilities for urological diagnosing is proposed. This model is specialized towards the diagnosis of urological dysfunctions with neurological etiology. For this reason the model explores all the neural centres involved in both the urological phases, voiding and micturition. Once these centres have been studied it becomes possible to establish a direct relation between neural centres which present an anomalous functioning and neurological dysfunctions.

Department/s

Publishing year

2011

Language

English

Pages

4448-4457

Publication/Series

Applied Soft Computing

Volume

11

Issue

8

Document type

Journal article

Publisher

Elsevier

Topic

  • Computer Vision and Robotics (Autonomous Systems)
  • Medical Biotechnology

Keywords

  • Fuzzy logic systems
  • Neurofuzzy
  • Artificial neural networks
  • Modelling biological systems
  • Urology
  • Expert systems in medicine
  • Artificial intelligence
  • Decision support systems

Status

Published

Research group

  • Lund University Cognitive Science (LUCS)

ISBN/ISSN/Other

  • ISSN: 1568-4946