Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/96620
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.creator | Carlos C. António | |
dc.creator | Catarina F. Castro | |
dc.creator | Luísa C. Sousa | |
dc.creator | Rui Chaves | |
dc.date.accessioned | 2022-09-13T17:14:41Z | - |
dc.date.available | 2022-09-13T17:14:41Z | - |
dc.date.issued | 2012 | |
dc.identifier.other | sigarra:63329 | |
dc.identifier.uri | https://hdl.handle.net/10216/96620 | - |
dc.description.abstract | In this approach a surrogate model based on Artificial Neural Networks (ANN), Doppler signal and Finite Element Method (FEM) is developed aiming to investigate the carotid arterial conditions. Doppler measurements of blood flow velocities are used as input values in Artificial Neural Network developments based on supervised learning. The network is trained using a Genetic Algorithm (GA) supported by an elitist strategy to obtain the optimal ANN topology. The ANN is cross validated and tested with carotid arterial Doppler signal and FEM analysis. The use of this ANN surrogate model for classification of carotid arterial diagnosis problems is proposed. | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings ICEM15 - 15th International Conference on Experimental Mechanics | |
dc.rights | restrictedAccess | |
dc.subject | Ciências Tecnológicas, Ciências da Saúde, Outras ciências da engenharia e tecnologias | |
dc.subject | Technological sciences, Health sciences, Other engineering and technologies | |
dc.title | Predictions of blood flow varations based on artificial neural network and doppler signal | |
dc.type | Artigo em Livro de Atas de Conferência Internacional | |
dc.contributor.uporto | Faculdade de Engenharia | |
dc.identifier.authenticus | P-005-K2E | |
dc.subject.fos | Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias | |
dc.subject.fos | Engineering and technology::Other engineering and technologies | |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
Files in This Item:
File | Description | Size | Format | |
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63329.pdf Restricted Access | Artigo completo | 896.59 kB | Adobe PDF | Request a copy from the Author(s) |
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