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               <dc:title>Application of a Kalman Filter with Augmented Measurement Model in Non-Invasive Cardiac Imaging</dc:title>
               <dc:title>Application of a Kalman Filter with Augmented Measurement Model in Non-Invasive Cardiac Imaging Creación de un filtro de Kalman con un modelo de medida aumentado aplicado a técnicas no invasivas de visualización de actividad cardíaca Creació d'un filtre de Kalman amb un Model de Mesura Augmentat aplicat a tècniques no invasives de visualitzación d'activitat cardíaca</dc:title>
               <dc:creator>Elies Henar, Francesc</dc:creator>
               <dc:subject>kalman filter</dc:subject>
               <dc:subject>augmented mesurement model</dc:subject>
               <dc:subject>cardiac imaging</dc:subject>
               <dc:subject>signal processing</dc:subject>
               <dc:subject>Echocardiography</dc:subject>
               <dc:subject>Filtro Kalman</dc:subject>
               <dc:subject>Kalman</dc:subject>
               <dc:subject>Modelo de medida aumentado</dc:subject>
               <dc:subject>electrocardiograma</dc:subject>
               <dc:subject>procesado de señal</dc:subject>
               <dc:subject>Control de processos -- PFC</dc:subject>
               <dc:subject>Electrocardiografia -- PFC</dc:subject>
               <dc:subject>Filtres de Kalman -- PFC</dc:subject>
               <dc:subject>Kalman</dc:subject>
               <dc:subject>Filtratge de -- PFC</dc:subject>
               <dc:subject>Processament digital del senyal -- PFC</dc:subject>
               <dc:description>This work will focus on improving the Kalman filter by use of an extended measurement model [Kaipio et Somersalo, 1999] which introduces spatial regularization terms into the filter. This model has been applied in solvers of the inverse problem of electrical impedance tomography [Hiltunen et al., 2010], though this tomography inverse problem is non-linear, it is mathematically very similar to the imaging of electric sources in the heart.</dc:description>
               <dc:description>Trabajo trata sobre la mejora de un filtro de Kalman usando un modelo de medida extendido [Kaipio et Somersalo, 1999] que introduce regularización espacial al filtro de Kalman. Este modelo ha sido aplicado con éxito en otros campos [Hiltunen et al., 2010] para resover por ejemplo el problema inverso de tomografia, problema matemáticamente muy similar a la visualización de potenciales en el corazón.</dc:description>
               <dc:description>Aquest treball es tracta de millorar el filtre de kalman per usant un model de mesura extès [Kaipio et Somersalo, 1999] que introdueix regularització espacial al kalman filter. Aquest model ha sigut aplicat amb èxit en altres camps [Hiltunen et al., 2010] per tal de resildre el problema invers de tomografia, problema similar a la visualitzación dels potencials del cor.</dc:description>
               <dc:date>2011-11-09</dc:date>
               <dc:type>Master thesis (pre-Bologna period)</dc:type>
               <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
               <dc:rights>Open Access</dc:rights>
               <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Spain</dc:rights>
               <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
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