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NARX structures for non-invasive temperature estimation in non-homogeneous media

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dc.contributor.authorTeixeira, C. A.
dc.contributor.authorPereira, W. C. A.
dc.contributor.authorRuano, Antonio
dc.contributor.authorRuano, M. Graça
dc.date.accessioned2013-02-07T15:05:06Z
dc.date.available2013-02-07T15:05:06Z
dc.date.issued2007
dc.date.updated2013-01-26T18:19:06Z
dc.description.abstractThe safe and effective application of thermal therapies are limited by the existence of precise non-invasive temperature es-timators. Such estimators would enable a correct power deposition on the region of interest by means of a correct instrumentation control. In multi-layered media, the temperature should be estimated at each layer and especially at the interfaces, where significant temperature changes should occur during therapy. In this work, a non-linear autoregressive structure with exogenous inputs (NARX) was applied to non-invasively estimate temperature in a multi-layered (non-homogeneous) medium, while submitted to physiotherapeutic ultrasound. The NARX structure is composed by a static feed-forward radial basis functions neural network (RBFNN), with external dynamics induced by its inputs. TheNARX structure parameters were optimized by means of a multi- objective genetic algorithm. The best attained models reached a maximum absolute error inferior to 0.5 °C (proposed threshold in hyperthermia/diathermia) at both the interface and inner layer points, at four radiation intensities. These models present also a small computational complexity as desired for real-time applications. To the best of ours knowledge this is the first non-invasive estimation approach in multi-layered media using ultrasound for both heating and estimation.por
dc.identifier.citationTeixeira, C. A.; Pereira, W. C. A.; Ruano, A. E.; Ruano, M. Graca. NARX structures for non-invasive temperature estimation in non-homogeneous media, Trabalho apresentado em 2007 IEEE International Symposium on Intelligent Signal Processing, In Proceedings of the 2007 IEEE International Symposium on Intelligent Signal Processing, Alcala de Henares, Spain, 2007.por
dc.identifier.doihttp://dx.doi.org/10.1109/WISP.2007.4447544
dc.identifier.isbn978-1-4244-0829-0
dc.identifier.otherAUT: ARU00698; MRU00118;
dc.identifier.urihttp://hdl.handle.net/10400.1/2255
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.subjectNARX structurespor
dc.subjectRadial basis functions neural networkspor
dc.subjectMulti-objective genetic algorithmspor
dc.subjectNon-invasive temperature estimationpor
dc.subjectTherapeutic ultrasoundpor
dc.titleNARX structures for non-invasive temperature estimation in non-homogeneous mediapor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceAlcala de Henares, Spainpor
oaire.citation.endPage174por
oaire.citation.startPage169por
oaire.citation.titleInternational Symposium on Intelligent Signal Processingpor
person.familyNameTeixeira
person.familyNamePereira
person.familyNameRuano
person.familyNameRuano
person.givenNameCésar
person.givenNameWagner
person.givenNameAntonio
person.givenNameMaria
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0001-9396-1211
person.identifier.orcid0000-0001-5880-3242
person.identifier.orcid0000-0002-6308-8666
person.identifier.orcid0000-0002-0014-9257
person.identifier.ridA-3477-2012
person.identifier.ridB-4135-2008
person.identifier.ridA-8321-2011
person.identifier.scopus-author-id55826531700
person.identifier.scopus-author-id35581987400
person.identifier.scopus-author-id7004284159
person.identifier.scopus-author-id7004483805
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication29e9844d-9355-4f2a-badf-9e7ad3117cdb
relation.isAuthorOfPublication5f0824cf-c471-4f03-8134-8003affbabe3
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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