Modelling of urological dysfunctions with neurological etiology by means of their centres involved
Författare
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.
Avdelning/ar
Publiceringsår
2011
Språk
Engelska
Sidor
4448-4457
Publikation/Tidskrift/Serie
Applied Soft Computing
Volym
11
Issue
8
Dokumenttyp
Artikel i tidskrift
Förlag
Elsevier
Ämne
- Computer Vision and Robotics (Autonomous Systems)
- Medical Biotechnology
Nyckelord
- Fuzzy logic systems
- Neurofuzzy
- Artificial neural networks
- Modelling biological systems
- Urology
- Expert systems in medicine
- Artificial intelligence
- Decision support systems
Status
Published
Forskningsgrupp
- Lund University Cognitive Science (LUCS)
ISBN/ISSN/Övrigt
- ISSN: 1568-4946